<<

Research Office A State Affiliate of the U.S. Census Bureau

The Motor Report February 2019

Intentionally blank

THE OHIO MOTOR VEHICLE INDUSTRY

FEBRUARY 2019

B1002: Don Larrick, Principal Analyst Office of Research, Ohio Development Services Agency PO Box 1001, , Oh. 43216-1001 Production Support: Steven Kelley, Editor; Jim Kell, Contributor Robert Schmidley, GIS Specialist TABLE OF CONTENTS Page

Executive Summary 1

Description of Ohio’s Motor Vehicle Industry 4

The Motor Vehicle Industry’s Impact on Ohio’s Economy 5

Ohio’s Strategic Position in Motor Vehicle Assembly 7

Notable Motor Vehicle Industry Manufacturers in Ohio 10

Recent Expansion and Attraction Announcements 16

The Concentration of the Industry in Ohio: Gross Domestic Product and Value-Added 18

Company Summaries of Light Vehicle Production in Ohio 20

Parts Suppliers 24

The Composition of Ohio’s Motor Vehicle Industry – Employment at the Plants 28

Industry Wages 30

The Distribution of Industry Establishments Across Ohio 32

The Distribution of Industry Employment Across Ohio 34

Foreign Investment in Ohio 35

Trends 40

Employment 42 i

Gross Domestic Product 44

Value-Added by Ohio’s Motor Vehicle Industry 46

Light Vehicle Production in Ohio and the U.S. 48

Capital Expenditures for Ohio’s Motor Vehicle Industry 50

Establishments 52

Output, Employment and Productivity 54

U.S. Industry Analysis and Outlook 56

Market Share Trends 58

Trade Balances 62

Industry Operations and Recent Trends 65

Technologies for Production Processes and 69

The Transportation Research Center 75

The Near- and Longer-Term Outlooks 78

About the Bodies-and-Trailers Group 82

Assembler Profiles 84

Fiat Automobiles NV 86

Ford Motor Co. 88

ii Co. 90

Honda Motor Co., Ltd. 92

Navistar International Corp. and , Inc. 94

Appendices 95

NAICS Codes: Industry Definition and Examples 96

Glossary 100

Detailed Tables 102

Table A1: Notable Motor Vehicle Industry Manufacturers in Ohio, 2018 103 Table A2: Expansion and Attraction Announcements in Ohio’s Motor Vehicle Industry, 2014-2017 108 Table A3: Motor Vehicle Industry Concentration in Ohio 113 Table A4a: Detailed Light Vehicle Production in Ohio, 2013-2018 114 Table A4b: Summary Light Vehicle Production in Ohio, 2008-2018 115 Table A5: Motor Vehicle Industry Establishments and Employment, Ohio and the U.S., 2016 116 Table A6: Motor Vehicle Industry Employment and Pay, Ohio and the U.S., 2016 117 Table A7: Establishments and Employment in Ohio’s Motor Vehicle Industry by County, 2016 118 Table A8: Motor Vehicle Industry Employment Trends in Ohio and the U.S., 2006-2016 119 Table A9: Total and Motor Vehicle Industry Gross Domestic Product, Ohio and the U.S., 1997-2016 120 Table A10: Trends in Value-Added by Group for Ohio and the U.S., 1993-2017 121 Table A11: Light Vehicle Production in Ohio and the U.S., 1993-2018 122 Table A12: Trends in Capital Expenditures by Group for Ohio and the U.S., 1997-2016 123 Table A13: Motor Vehicle Industry Establishment Trends in Ohio and the U.S., 2006-2016 124 Table A14: Selected Motor Vehicle Industry Statistics for Ohio and the U.S., 1998-2016 125 Table A15a: U.S. Sales of Imported and Domestic Light Vehicles, 1997-2017 127 Table A15b: Percentages of U.S. Sales of Imported and Domestic Light Vehicles, 1997-2017 129

iii Table A16: Imports and Exports of Motor Vehicles, Parts and Accessories, and the Value of the Dollar, 1997-2017 131 Table A17: History and Projections for the U.S. Motor Vehicle Industry, 2006-2026 132

Notes 133

Sources and References Cited 145

iv EXECUTIVE SUMMARY

▪ 1,157,700 light vehicles were assembled in Ohio in 2018; 645,900 by , almost 325,100 by Chrysler Auto- mobiles, 134,100 by General Motors, and 52,600 by Ford.

▪ Tens of thousands of medium- and heavy-duty and are assembled by Ford, Navistar and .

▪ Ohio is at the center of the motor vehicle industry with 65.5 percent of N. American light vehicle production – and 82.5 percent of U.S production – either in Ohio or within 500 miles (805 kilometers) of its borders.

▪ 10 light vehicle models currently are made in Ohio’s six high-volume light vehicle plants; a pickup be added in 2019 about the same time Cruze production plans to stop. The 10 include over 150,000 each of some of the nation’s best-sellers: the and CR-V, and the Jeep Wranglers.

▪ At least eight medium- and heavy-duty models also are assembled at three plants (one of which is principally a light truck plant); at least one more model will be added soon.

▪ Ohio ranked 1st and 6th in U.S. and light truck production in 2018 according to Automotive News; it ranked 2nd in dollar value-added in parts production, 3rd in value-added for all assembly operations, 5th in value-added for body- trailer-RV-accessories production, and 4th overall according to the latest Census Bureau and Bureau of Economic Analysis figures.

▪ Honda is the largest motor vehicle industry employer in Ohio with 11,900-plus at its operations and with 7,100-plus at its affiliates; it is followed by Fiat Chrysler Automobiles with 6,800, with 900-plus at its affiliates; General Motors can claim nearly 6,500 (counting its partner); 6,100-plus work at Ford; 19 more companies may each employ at least 1,000 people at their facilities in Ohio.

▪ Four companies supplying parts to the motor vehicle industry and on Fortune’s U.S.-1,000 list maintain their world headquarters in Ohio: Cooper Tire & Rubber, Dana, Goodyear Tire & Rubber and Parker-Hannifin.

▪ 24 more companies on Fortune’s U.S.-1,000 or Global-500 lists have industry plants in Ohio.

▪ 615 active establishments in Ohio directly or indirectly supply motor vehicle assemblers; these are 8.5 percent of such N. American establishments and rank the state second in the U.S.-and--combined according to ELM Analytics.

1 ▪ 107,000-plus people were employed in Ohio’s motor vehicle and related industries according the latest comprehensive statistics compiled from various sources; these cover assembly, bodies, trailers, RVs, parts, battery and motor vehicle tire manufacturing plus two plants, three foundries and a glass plant all dedicated to the industry.

▪ 76 of Ohio’s 88 counties have at least one motor vehicle or related industry establishment, with 10 counties having close to one-half of motor vehicle and related industry jobs: Cuyahoga, Hancock, Logan, Lucas, Montgomery, Shelby, , Union, Wayne and Wood.

▪ More than 100 companies (or their ) from 17 foreign nations employ an estimated 66,700 people in motor vehicle and related industry production in Ohio; 14 of them are on Fortune’s Global 500 list.

▪ $7.83 billion in private investment for 184 major projects in Ohio’s motor vehicle and related industries was announced by 124 companies during the previous four years; about 12,500 new jobs were anticipated upon completion.

▪ Motor vehicle and related industries annual wages and salaries in Ohio averaged more than $60,600 per employee according to the latest comprehensive data.

2

Intentionally blank

3

DESCRIPTION OF OHIO’S MOTOR VEHICLE INDUSTRY

4 THE MOTOR VEHICLE INDUSTRY'S IMPACT ON OHIO'S ECONOMY

Output Value Added Compensation Jobs Cluster / Sector (millions) (millions) (millions) (estimated)

Direct Motor Vehicles $37,613.9 $6,399.3 $2,877.5 38,384 Motor Vehicle Parts $41,872.2 $9,922.5 $6,585.5 85,667 Motor Vehicle Related $2,110.6 $612.1 $456.9 5,562 Motor Vehicle Cluster Direct Impact^ $81,596.7 $16,933.9 $9,919.9 129,613

Indirect - the Supplier Network Other Manufacturing $10,113.5 $3,003.5 $1,877.3 26,282 Other Goods $105.9 $69.5 $29.7 856 Construction $285.5 $136.9 $107.2 1,942 Transport/Info/Utilities $3,717.5 $1,725.5 $1,053.6 16,142 Retail / Restaurants $6,323.7 $4,073.6 $2,225.7 30,135 Services/Engineering & Management $9,312.5 $5,784.7 $3,970.6 60,249 Government $226.2 $130.2 $121.1 1,416 Supplier Impact^ $30,084.8 $14,923.9 $9,385.2 137,022

Spending Induced by Jobs Consumer Spending in the Economy^ $18,068.6 $10,582.8 $5,609.2 131,342

Total Motor Vehicle Production Cluster Impact^ $129,750.1 $42,440.6 $24,914.3 397,977

State Total Economy $1,218,154.5 $634,117.5 $370,949.3 6,971,058

Motor Vehicle Production Cluster as Percentage of Ohio's Economy^ 10.65% 6.69% 6.72% 5.71%

Notes: * - Output, value-added and compensation are reported in 2018 dollars. Motor vehicle cluster numbers are the direct impact of the selected industries; the remaining seven sector groups report the indirect impact across Ohio's economy, while induced spending is the summary of activity across all sectors of the state's economy. ^ - Components may not sum to higher levels due to rounding, which in turn may affect percentages.

Source: Minnesota IMPLAN Group (2018).

Prepared by: Office of Research, Ohio Development Services Agency (SK, 11/18).

5 The Minnesota IMPLAN Group, a private company specializing in econometric analyses, offers this assessment of the motor vehicle industry’s impact on Ohio’s economy (all figures are estimates):

• The industry directly employed 129,613 people at assembly, parts and related operations in Ohio during 2016; they created more than $16.9 billion in value-added;1

• A broader view of the industry’s role in Ohio’s economy considers a cluster of upstream and downstream industries providing facilities, goods not ordinarily considered part of the industry, utilities and other services; altogether, 137,022 jobs in other industries were supported by industry requirements, notably: o 26,282 jobs in other manufacturing industries; examples include and windows, nuts, bolts, bearings, valves, electronic parts, paints and coatings, adhesives and sealing devices, etc.; these were made of , glass, rubber and , and silicone and other chemical products; o 1,942 construction jobs were supported by industry requirements; o 16,142 transportation, utilities and information sector jobs served industry operations; o 60,249 provided engineering and management services to the industry; o 30,135 restaurant and retail industry jobs were supported by industry demand;

• Combining the impact of the direct and indirect goods-producing and service clusters with the 131,342 jobs supported by induced jobs spending across the economy means that a total of 5.71 percent of all Ohio workers (i.e., 397,977 / 6,971,058) were directly or tangentially dependent on the motor vehicle industry cluster for their livelihoods. The cor- responding value-added by the goods and services sectors amounted to 6.69 percent of the economy.2

• The associated aggregate output of the $81.6 billion direct and $30.1 billion indirect impacts plus the $18.1 billion in- duced by employee spending – a total approaching $129.8 billion – was 10.65 percent of $1.22 trillion in sales and revenues in Ohio (Minnesota IMPLAN Group, 2018).

6 Light Vehicle Assembly CANADA Plants in North America

! ! !! ! ! !! ! !! !! FCA !!! Belvidere SF Motors* !! ! GM** Mishawaka ! ! Lordstown Ford ! ! ! GM Ft. Wayne ! Honda East Liberty ! ! Honda Marysville Honda PMC ! Tesla Ford Lafayette Fremont ! Kansas Honda Greensburg !! GM Fairfax GM ! Princeton ! Wentzville ! !! Toyota Georgetown Ford Kentucky Truck GM Bowling Green ! Ford Louisville

! Smyrna GM Spring Hill! VW Chattanooga ! ! BMW Spartanburg

Toyota Toyota ! ! Charleston Blue Springs ! !Honda Lincoln ! Daimler ! ! Daimler Charleston Tuscaloosa West Point GM Arlington ! ! ! Hyundai Nissan Montgomery Canton 0 100 200 300 400 500 600 Miles Ford Hermosillo ! Toyota San Antonio ! Honda ! Alliston GM** Oshawa ! FCA ! ! Multimatic Markham GM Toyota ! Ford Cambridge ! Ramos Arizpe ! Kia Oakville ! FCA Truck ! Monterrey GM Toyota Woodstock FCA GM Lansing Assembly ! Grand River ! ! Delta Township GM GM (CAMI) FCA GM Orion Ingersoll Nissan (2 Plants) ! ! GM** ! Sterling Daimler-Nissan BMW* - Heights San Luis Potosi Hamtramck ! FCA Aguascalientes ! ! ! ! Warren Truck *Expected to open in 2019 Honda Toyota* Ford !! Apaseo el ! Honda GM Celaya Assembly ! ! FCA Silao ! Grande Wayne **Closure announced for 2019 El Salto ! ! ! Windsor ! Ford ! FCA Ford Flat Rock Jefferson North Salamanca Cuautitlan Ford Prepared by: Ohio Development Services ! FCA Toluca ! VW Dearborn ! ! 0 20 40 60 80 Agency, Office of Research (December 2018) ! San Jose FCA ! Truck Nissan Chiapa Cuernavaca Toledo North Ford Miles ! R101918A VW Toledo Supplier Park

! 7 N. American Light Vehicle Production in 2018: the 69 Active Plant/Complex Total: ~16,933,400 The 20 Highest-Volume Plants/Complexes are Shown White: Black: Light Trucks Gray: Both 600.0

585.6 550.0

500.0 490.1 450.0 448.7 435.4 432.7 430.2 400.0 422.4 413.7 406.3 381.0 350.0 373.8 369.1 364.4 364.2 363.2 363.1 359.4 356.7 349.2 345.3 300.0

250.0

(in thousands)(in Vehicles ProducedVehicles 200.0

150.0

100.0

50.0

0.0

Source: Automotive News Company: Plant Location 8 Toledo Toledo North Toledo Supplier Park G" Lake Ashtabula Fulton Lucas " @ Ohio Williams @ @ " Ottawa Assembly Toledo Geauga # @ Cuyahoga Notable Establishments* @ # G Henry @ @ @ Engine Parma Trumbull Defiance Erie Metal Wood Sandusky Plant 1 in Ohio's GDefiance Center @ Lorain Lordstown Summit Complex** Motor Vehicle Industry Paulding Seneca Huron Medina G Putnam @ @ Portage @ Mahoning Hancock @ Wayne @ Van Wert @ Crawford Richland Ashland @ @ @ @ Stark Columbiana # Lima Wyandot Engine Celina Aluminum Precision Hardin @ @ Auglaize Russells Morrow Carroll ! @ Point Marion Holmes Transmission Establishment ! Cardington Yutaka Jefferson @ ! East Liberty Location Anna ! Assembly Tuscarawas Engine Logan Knox Shelby ! Marysville Coshocton Harrison " Fiat/Chrysler (FCA) ! @ Darke Assembly @ Champaign Union Delaware # Ford @ @ Licking Guernsey Navistar Belmont General Motors Miami $ Assembly @ G @ Franklin Muskingum Clark @ ! Honda Preble @ @ @ @ Madison Noble @ Fairfield $ Navistar, PACCAR DMAX G Perry Monroe @ Greene Montgomery Pickaway Morgan @ Fayette Other @ Hocking Washington Butler Warren Clinton @ @ PACCAR @ @ $ Kenworth @ Ross # @ Assembly Athens *Establishments believed to employ 500 or more Hamilton Sharonville Vinton Transmission Highland Meigs **Closure announced for 2019 Clermont Pike Jackson Brown Gallia Adams Scioto

Prepared by: Office of Research,

Lawrence Ohio Development Services Agency December 2018

9 R101918A NOTABLE MOTOR VEHICLE INDUSTRY MANUFACTURERS IN OHIO

Twenty-eight companies on Fortune magazine’s US-1,000 or Global-500 lists have motor vehicle industry establishments in Ohio, with four maintaining world headquarters here: Cooper Tire & Rubber, Dana, Goodyear Tire & Rubber and Par- ker-Hannifin. Honda is the largest industry employer with 11,925 in manufacturing operations (including subsidiaries). (Honda employs 15,000 in Ohio when other activities are included. An additional 7,150 are employed in manufacturing at companies Honda described as affiliates.) Fiat Chrysler Automobiles (FCA) follows with 6,800 (plus 100 more in non- manufacturing), with its two partners at its combining for 930 more. General Motors (GM) employs nearly 6,500 (6,800 when non-manufacturing activities are included). Ford employs 6,150. Other companies thought to employ at least 1,000 in Ohio include Cooper Tire & Rubber, Dana, Flex-N-Gate’s Ventra, Glass, Goodyear Tire & Rub- ber,3 Grammer’s Toledo Molding & , INA’s LuK-Schaeffler [sic], International Automotive Components (IAC, not count- ing its joint venture partner), (with its joint venture partners), KTH Parts, MAC Trailer, Magna Interna- tional, Mahle, Navistar, Paccar’s Kenworth, Showa, , Thor’s Airstream, and TS Tech.

Establishments with non-motor vehicle industry NAICS codes have been included when their specific products are used by the industry. Examples include GM’s and Daimler’s plants (Daimler rebuilds ), GM’s and Hon- da’s foundries, automotive battery and glass plants, and Toledo Molding and Die’s products.

The map above shows the locations of the 63 manufacturing establishments/complexes with at least 500 employees. The list below includes the Fortune companies, usually with at least 50 people at a site, as well as other companies employing 500 or more in Ohio and mostly having 50-plus at a site.4 It is organized by NAICS code and includes the city where the site is located. Parts operations may not be the primary businesses of some of the companies on the list, but their sites are included because their primary NAICS codes – or products their clients buy – make them as part of the industry.

Primary Jobs Parent / Company / Division NAICS# City at Site~

Transportation Equipment Industries:

33611: Automobiles and Light-Duty Vehicles General Motors Co.*9 336111 Warren 1,500 Honda Motor Co., Ltd.*/Honda of America Mfg., Inc.^ 336111 Marysville 4,000 Fiat Chrysler Automobiles NV*^/FCA US LLC (North and South plants combined) 336112 Toledo 5,900 Ford Motor Co.*9 336112 Avon Lake 1,650 Honda Motor Co., Ltd.*/Honda of America Mfg., Inc.^ 336112 E. Liberty 2,350 Hyundai Mobis Co., Ltd.*/Mobis N. America LLC^ (part of FCA's Toledo complex) 336112 Toledo 575 Tower Intl., Inc.*/Tower Automotive Operations4 336112 Bellevue 363

10 Primary Jobs Parent / Company / Division NAICS# City at Site~

33612: Medium- and Heavy-Duty Trucks Navistar Intl. Corp.*14 33612 Springfield 1,800 Paccar, Inc.*/Kenworth Div.9 33612 Chillicothe 1,950

3362: Motor Vehicle Bodies, Trailers, etc. ARE Accessories LLC1 336211 Massillon, others 550 Midea Group Co., Ltd.*/Kuka Toledo Production Operations LLC^ (at FCA's Toledo complex) 336211 Toledo 355 Berkshire Hathaway, Inc.*/Scott Fetzer Co./Stahl 336212 Cardington 107 Berkshire Hathaway, Inc.*/Scott Fetzer Co./Stahl 336212 Wooster 115 MAC Trailer, Inc./MAC LTT (Liquid Tank Trailers)12 336212 Kent 180 MAC Trailer, Inc./MAC Mfg., Inc.13 336212 Salem 332 MAC Trailer, Inc./MAC Trailer Mfg., Inc.9 336212 Alliance 475 MAC Trailer, Inc./Trailstar Mfg.12 336212 Alliance 20 Thor Industries, Inc.*/Airstream, Inc.19 336213 Jackson Center 1,200

33631: Motor Vehicle Engines and Engine Parts Ford Motor Co.*9 33631 Brook Park 1,570 Ford Motor Co.*9 33631 Lima 1,270 Honda Motor Co., Ltd.*/Honda of America Mfg., Inc.^ 33631 Anna 3,200 Mahle GmbH/Mahle Engine Components USA, Inc.^ 33631 McConnelsville 115 Tanaka Seimitsu Kogyo Co., Ltd./FT Precision, Inc.^ (Honda affiliate) 33631 Fredericktown 300

33632: Motor Vehicle Electrical and Electronic Equipment Idex Corp.*/Akron Brass Co./Weldon Technologies 33632 Columbus 46 Electric Corp.*/Mitsubishi Electric Automotive America, Inc.^ 33632 Mason 675 Stanley Electric Co., Ltd./Stanley Electric US Co., Inc.^ 33632 London 1,500 Stoneridge, Inc.16 33632 770

33633: Motor Vehicle and Suspension Components Nihon Plast Co., Ltd./Neaton Auto Parts Mfg., Inc.^ (Honda affiliate) 33633 Eaton 925 Showa Corp./American Showa, Inc.^ 33633 Blanchester 575 Showa Corp./American Showa, Inc.^ 33633 Sunbury 560 ThyssenKrupp AG*/ThyssenKrupp Bilstein of America, Inc.^ 33633 Hamilton 750 Yamada Mfg. Co., Ltd./Yamada N. America, Inc.^ (Honda affiliate) 33633 S. Charleston 700

33634: Motor Vehicle Brake Systems Seiki Co., Ltd.*/Advics Mfg. Ohio, Inc.^ 33634 Lebanon 675 Autoliv Inc.*-Nissin Kogyo Co., Ltd. (JV)/Autoliv-Nissin Brake Systems^ (Honda affiliate) 33634 Findlay 250 Autoliv Inc.*-Nissin Kogyo Co., Ltd. (JV)/Nissin Brake of Ohio, Inc.^ (Honda affiliate) 33634 Findlay 670 Cooper-Standard Automotive, Inc.* 33634 New Lexington 352 Knorr-Bremse AG/Bendix Systems LLC^ 33634 Elyria 525 ZF Friedrichshafen AG/TRW^ 33634 Fayette 210

11 Primary Jobs Parent / Company / Division NAICS# City at Site~

33635: Motor Vehicle Transmissions and Parts Dana, Inc.* 33635 Toledo 300 Dana, Inc.*/GKN Driveline N. America, Inc.^ 33635 Bowling Green 190 Dana, Inc.*/Oerlikon Metco^ 33635 Dayton 185 Dana, Inc.*/Spicer Driveshaft6 33635 Lima 621 Ford Motor Co.*9 33635 Sharonville 1,660 General Motors Co.*9 33635 Toledo 1,722 Honda Motor Co., Ltd.*/Honda Transmission Mfg. of America, Inc.^ 33635 Russells Point 1,100 INA Holding GmbH & Co. KG (fka Schaeffler)/LuK-Schaeffler Group USA, Inc.^ 33635 Wooster 1,770

33636: Motor Vehicle Seating and Interior Trim plc (fka Delphi Automotive plc)/Adient Northwood^ 33636 Northwood 400 Johnson Controls Intl. plc-Shanghai Corp. (SAIC)* (JV)/ Yanfeng US Automotive Interior Systems^ 33636 Bryan 320 Johnson Controls Intl. plc-Tachi-S Co., Ltd. (JV)/Setex, Inc.^ 33636 St. Marys 500 Magna Intl., Inc.*/Magna Intl. of America, Inc. (aka Alex Products, Inc.) 33636 Ridgeville Corners 45 Magna Intl., Inc.*/Magna Seating of America, Inc.^ 33636 Village 60 Magna Intl., Inc.*/Magna Seating of America, Inc.^ 33636 Warren 100 Magna Intl., Inc.*-Grammer AG (JV)/Gra-Mag Truck Interior Systems LLC^ 33636 London 30 TS Tech Co., Ltd./TS Trim Industries, Inc.^ (Honda affiliate) 33636 Canal Winchester 600

33637: Motor Vehicle Stampings ArcelorMittal SA*/ArcelorMittal Tailored Blanks^ 33637 Pioneer 83 General Motors Co.*9 33637 Parma 1,344 G-TEKT Corp./Jefferson Industries Corp.^ 33637 W. Jefferson 600 Kasai Kogyo Co., Ltd./Kasai N. America, Inc.^ 33637 Upper Sandusky 650 Magna Intl., Inc.*/Magna Cosma Intl. (aka Vehtek)^ 33637 Bowling Green 750 Magna Intl., Inc.*/Magna Decoma Intl.^ 33637 Toledo 200 Magna Intl., Inc.*/Norplas Industries, Inc.^ 33637 Northwood 1,000 Midway Products Group, Inc./Findlay Products Corp. 33637 Findlay 130 Midway Products Group, Inc./P & A Industries, Inc. 33637 Findlay 200 Midway Products Group, Inc./Progressive , Inc. 33637 Ottoville 250 Shiloh Industries, Inc. (including HQ)15 33637 Valley City, Wellington >500 Tower Intl., Inc.*/Tower Automotive Operations20 33637 Bluffton 283 Pacific Industrial Co., Ltd./Pacific Industries USA, Inc.^ 33637-9 Fairfield 12 Pacific Industrial Co., Ltd./Pacific Mfg. Ohio, Inc.^ 33637-9 Fairfield 650

33639: Other Motor Vehicle Parts Adient plc (fka Delphi Automotive plc)/Adient Greenfield^ 33639 Greenfield 250 plc/Aptiv^ 33639 Vienna Twp. 120 Aptiv plc/Aptiv^ 33639 Warren 500

12 Primary Jobs Parent / Company / Division NAICS# City at Site~

33639: Other Motor Vehicle Parts (continued) Autoneum Holding AG/Autoneum N. America, Inc.^ 33639 Oregon 350 Autoneum Holding AG/UGN, Inc. (JV with Nihon Tokushu Toryo Co., Ltd.)^ 33639 Monroe 300 Fiat Chrysler Automobiles NV*^/FCA US LLC 33639 Perrysburg 900 Flex-N-Gate Corp./Ventra Sandusky LLC8 33639 Sandusky 1,900 F-Tech, Inc./F&P America Mfg., Inc.^ 33639 Troy 980 , Ltd.*/AAP St. Marys Corp.^ 33639 St. Marys 620 Honda Motor Co., Ltd.*/Cardington Yutaka Technologies, Inc.^ 33639 Cardington 725 Idex Corp.*/Akron Brass Co. 33639 Wooster 300 Imasen Electric Industrial Co., Ltd./Imasen Bucyrus Technology, Inc.^ 33639 Bucyrus 560 Intl. Automotive Components Group SA^/IAC Huron LLC 33639 Huron 750 Intl. Automotive Components Group SA^/IAC Wauseon LLC 33639 Wauseon 650 KTH Parts Industries, Inc./Kalida Mfg., Inc.^ (Honda affiliate) 33639 Kalida 475 KTH Parts Industries, Inc.^ (Honda affiliate) 33639 St. Paris 1,100 Lear Corp.* 33639 Hebron 50 Mahle GmbH/Mahle Behr Dayton LLC^ 33639 Dayton 1,200 Moriroku Holdings Co./Greenville Technology, Inc.^ (Honda affiliate) 33639 Greenville 865 Parker-Hannifin Corp.* 33639 Wickliffe 271 SA*/ USA Holdings, Inc.^ 33639 Franklin 365 Peugeot SA*/Faurecia USA Holdings, Inc.^ 33639 Toledo 250 Peugeot SA*/Faurecia USA Holdings, Inc.^ 33639 Troy 170 Peugeot SA*/Faurecia USA Holdings, Inc.-Bruce Smith (JV)/Detroit Mfg. Systems LLC^ 33639 Toledo 135 Sankei Giken Co., Ltd./Newman Technology, Inc.^ 33639 Mansfield 700 Sanoh Industrial Co., Ltd./Sanoh America, Inc.^ 33639 Mount Vernon 230 Shanghai Shenda Co., Ltd.-Intl. Automotive Components SA (JV)/Auria Solutions, Ltd.^ 33639 Fremont 315 Shanghai Shenda Co., Ltd.-Intl. Automotive Components SA (JV)/Auria Solutions, Ltd.^ 33639 Holmesville 300 Shanghai Shenda Co., Ltd.-Intl. Automotive Components SA (JV)/Auria Solutions, Ltd.^ 33639 Sidney 285 , Inc.*17 33639 Napoleon 200 Tenneco, Inc.*18 33639 Kettering 478 Tokai Kogyo Co., Ltd./Green Tokai Co, Ltd.^ 33639 Brookville 770 TS Tech Co., Ltd./TriMold LLC^ (Honda affiliate) 33639 Circleville 290 TS Tech Co., Ltd./TS Tech USA Corp.^ (Honda affiliate) 33639 Reynoldsburg 600 Yachiyo Industry Co., Ltd./AY Mfg., Ltd.^ (Honda affiliate) 33639 Columbus 175 Yachiyo Industry Co., Ltd./US Yachio, Inc.^ (Honda affiliate) 33639 Marion 200

Related Industries: Flex-N-Gate Corp./Ventra Salem LLC7 32619 Salem >500 Grammer AG/Toledo Molding & Die, Inc. 32619 Bowling Green n.a. Grammer AG/Toledo Molding & Die, Inc.6 32619 Delphos 328

13 Primary Jobs Parent / Company / Division NAICS# City at Site~

Related Industries (continued): Grammer AG/Toledo Molding & Die, Inc. (fka WEK) 32619 Jefferson n.a. Grammer AG/Toledo Molding & Die, Inc. 32619 Tiffin n.a. Grammer AG/Toledo Molding & Die, Inc. (including divisional HQ and a mfg. plant) 32619 Toledo n.a. Cooper Tire & Rubber Co.* (includes HQ)2 326211 Findlay 2,212 Cooper-Standard Automotive, Inc.*3 32622 Bowling Green 300 Co., Ltd./SumiRiko Ohio (fka Tokai Rubber/DTR)^ 32622 Bluffton 610 Yamashita Rubber Co., Ltd./YUSA Corp.^ 32622 Washington C.H. 630 Corp.*/Bridgestone APM Co.^ 326291 Upper Sandusky 800 Asahi Glass Co., Ltd./AGC Automotive N. America, Inc.^ 32721 Bellefontaine 485 Asahi Glass Co., Ltd./Belletech Corp.^ 32721 Bellefontaine 210 Fuyao Glass Industry Group Co., Ltd./Fuyao Glass America Inc.^ 32721 Moraine 2,000 General Motors Co.*9 33151-2 Defiance 1,128 Ahresty Corp./Ahresty Wilmington Corp.^ 33152 Wilmington 840 Honda Motor Co., Ltd.*/Celina Aluminum Precision Technology, Inc.^ 33152 Celina 550 Sanoh Industrial Co., Ltd./Sanoh America, Inc.^ 33299 Archbold 70 Sanoh Industrial Co., Ltd./Sanoh America, Inc.^ 33299 Findlay 400 Daimler AG*/ Re-mfg.-East^ 333618 Byesville 463 General Motors Co.*9- Motors (JV)/DMAX 333618 Moraine 796 Bosch GmbH*/Bosch Battery Systems LLC^ 335911 Springboro 35 Crown Battery Mfg. Co.4 335911 Fremont 579 Johnson Controls Intl. plc/Johnson Controls Battery Group, Inc.^ 335911 Holland 480 Dana, Inc.* (HQ, including Technology Center)5 551112 Maumee 900 Goodyear Tire & Rubber Co.* (mostly HQ)10 551112 Akron 3,000 Abbreviations, notes and sources: aka – also known as; fka – formerly known as; HQ – headquarters; Intl. – International; JV – joint venture; mfg. – manufacturing; n.a. – not available; NAICS – N. American Industry Classification System; # – non-industry NAICS codes are included if produc- tion is principally for motor vehicles; ~ – All jobs figures should be regarded as the best (or sometimes only) available estimates at the time of pub- lication; D&B Hoovers (2018) is the source unless otherwise noted; * – a Fortune U.S.-1,000 or Global-500 company; ^ – jobs figure from Office of Research (2018a); Johnson Controls is selling its battery business (LaForest, 2018); 1 – jobs figure from Lexis-Nexis (2018); no more-specific data are available for the three establishments in Massillon, Mt. Eaton and Dundee; 2 – jobs figure from Wikipedia (2018) (found on the page for Findlay, Ohio); 3 – jobs figure from Rosenberg (2018); 4 – jobs figure from Sandusky Co. Economic Development Corp. (2018); 5 – jobs figure from WTOL (2018a); (also see WTOL, 2018b)); 6 – jobs figure from The Lima News (2016); 7 – the category minimum from the Census Bureau (2018b); 8 – jobs figure from ELM Analytics (2018); 9 – jobs figure(s) from the company's website; 10 – jobs figure from Crain's Cleveland Busi- ness (2018); 11 – Manta's (2018) approximate figure; 12 – jobs figure from The Alliance (2015); 13 – jobs figure from Salem News (2018); 14 – jobs figure from Sanctis (2018); 15 – no more-specific current data could be found for the company's four motor vehicle industry establishments, but older sources and inspection via Earth leave the impression the company has at least 500 employees in the industry; 16 – jobs figure from Mansfield News Journal (2017); 17 – jobs figure from Regional Growth Partnership (2017); 18 – jobs figure from Gnau (2017); more may be added in the near future (Jibrell and Szatkowski, 2018); 19 – jobs figure from Airstream Media (2018) is approximate; 20 – jobs figure from 4- Traders.com (2016); 21 – closing soon (Staff report, 2019). 14 See Table A1 Investment Announcements in Ohio's Motor Vehicle Industry, 2014-2017 Four-Year Totals: $7,828.8 Million; 12,510 Jobs $4,000.0 4,000

$3,500.0 3,500

$3,000.0 3,000

$2,500.0 2,500

$2,000.0 2,000

Millions PlannedMillions $1,500.0 1,500 New Jobs Anticipated Jobs New

$1,000.0 1,000

$500.0 500

$0.0 0 2014 2015 2016 2017 Millions Planned $813.8 $3,084.0 $3,212.4 $718.6 New Jobs Anticipated 3,297 3,397 3,820 1,996

Sources: Office of Research, ODSA 15 RECENT EXPANSION AND ATTRACTION ANNOUNCEMENTS

124 companies announced 184 major projects during the last four years. They planned to invest $7.83 billion in establish- ing new plants or expanding or updating existing ones, with 12,510 new jobs anticipated (upon completion) at the times of the announcements. The chart above shows the largest portion of these totals – $3.21 billion and 3,820 new jobs – were announced in 2016; these figures are 41.0 and 30.5 percent of the corresponding totals.

$6.31 billion, or 80.6 percent of the four-year total, was intended for the parts group (NAICS 3363) and related industries (automotive glass and batteries, plastic parts, paints, etc., specifically for motor vehicles); 9,540 new jobs – 76.3 percent of the total – were expected at these facilities. An additional $1.39 billion was intended for assembly and chassis plants (3361), with about 1,860 new jobs anticipated – 17.5 and 14.8 percent of the respective totals. The remaining $154 mil- lion was for establishments making bodies, trailers, motor homes and campers (3362), intending about 1,110 jobs – 2.0 and 8.9 percent of the respective totals.

Assembly companies dominated the spending plans, although many of the dollars were for their parts plants: Ford – near- ly $3.00 billion, General Motors (including its joint venture partner, Isuzu Motors) – $1.07 billion, Honda– $997.3 million, FCA – $429.0 million, and Navistar – $40.9 million; the combined total was $5.53 billion – 67.0 percent of the total. Parts and related industries companies announcing investments of $50.0 million or more included Aisin Seiki’s Advics, Armor All-STP Products, Autoliv-Nissin Kogyo’s Nissin Brake, Borgers, Dana, Fuyao Glass (the largest at $1.55 billion), Hirsch- vogel, Knorr-Bremse’s Bendix Commercial Vehicle Systems, Mitsubishi Electric, Pacific Industrial’s Pacific Manufacturing, Schaeffler’s LuK (sic), Teijin’s Continental Structural Plastics, and Tenneco. Fuyao planned to hire 1,550, followed by FCA with almost 680, Navistar at 650 and Tenneco at 500. Other companies anticipating at least 300 new jobs included Airstream, Advics, Borgers, Camaco, Dana, Ford, Honda and LuK.

These counts are part of the Ohio Private Investment Survey annually compiled by the Office of Research, Ohio Develop- ment Services Agency (2015b-2018b). A major project must meet one of three criteria: at least 20,000 feet of new space, $1 million to be spent for land, buildings, or equipment, or 20 to 50 new jobs (depending on the year). Many of the planned expenditures are phased-in over a two-to-three-year cycle, with employees added after project completion. Plan- ned investments are not comparable with annual capital expenditures discussed elsewhere in this report.

See Table A2

16 The Concentration of the Motor Vehicle Industry in Ohio by Group, and Based on 2016 Dollar Values 13.0%

12.0% 12.1% 11.0%

10.0%

9.0% 8.9% 8.0% 8.2%

7.0%

6.0% 6.5%

5.0%

4.0%

3.8% Ohio as Percentage a of the U.S. Totals 3.0% 3.4%

2.0%

1.0%

0.0% Total GDP MV Industry GDP MV Industry VA MV Assembly VA MV Bodies & MV Parts VA (3361-3) (3361-3) (3361) Trailers VA (3362) (3363) Gross Domestic Product Value-Added Sources: U.S. Bureau of the Census, U.S. Bureau of Economic Analysis 17 THE CONCENTRATION OF THE INDUSTRY IN OHIO: GROSS DOMESTIC PRODUCT AND VALUE- ADDED

The chart above shows 8.2 percent of the U.S. motor vehicle industry’s (NAICS 3361-3) net output in 2016 came from Ohio. By comparison, 3.4 percent of the net value of all goods and services produced and provided in America during 2016 originated in Ohio, according to the latest gross domestic product (GDP) figures from the U.S. Bureau of Economic Analysis (2018a). The greater portion of motor vehicle industry production here compared to total output indicates the concentration of the industry here.

Value-added (VA) data from the U.S. Census Bureau (2018a), also shown in the chart above, illustrate how the industry’s con-centration varied by group in 2016. While the overall concentration of the industry (3361-3) was 8.9 percent,5 parts pro-duction (3363) was notably concentrated with Ohio’s plants producing 12.1 percent of the national total. It was fol- lowed by assembly operations (3361) and body-and-trailer production (3362) with 6.5 and 3.8 percent of the correspond- ing national totals.

More-specific industry data, available only from the quinquennial Census of Manufacturers and listed in table A3, show greater variations in concentrations here. Based on the 2012 value-added figures, 21.0 percent of medium- and heavy- duty truck production (33612) in the U.S. originated in Ohio compared with 9.5 percent of the much larger volume of light vehicle output (33611, cars, , pick-ups and SUVs combined). (The former largely reflects output from Navistar’s and Paccar/Kenworth’s two plants here.) More concentrated parts industries included stampings (33637), transmissions and power parts (33635) and seating and interior trim (33636), which ranged from 17.1 to 12.8 of national totals. Other parts industries closer to the group average of 11.2 percent were electrical and electronic equipment (33632) and brake systems (33634). The remaining parts and related industries (3363p, 32621 and 335911) were less concentrated in Ohio, ranging from 4.1 to 9.0 percent of national value-added.

See Table A3

18 Light Vehicle Production in Ohio, 2008-2018: General Motors and Honda 800.0

734.8

697.6 701.8 700.0 683.0 671.7 663.5 645.9

610.8 600.0 587.3

500.0 476.8 463.6

411.4

400.0 (inthousands)

293.0 300.0 286.3

281.8 279.4 273.2 Light Vehicles Assembled Vehicles Light

212.2 200.0 158.1 143.5 134.1

100.0 87.9

0.0 `08 `09 `10 `11 `12 `13 `14 `15 `16 `17 `18* `08 `09 `10 `11 `12 `13 `14 `15 `16 `17 `18* Light Trucks 103.4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 151.4 157.2 234.1 192.7 217.0 225.4 208.2 236.0 234.1 230.5 256.8 Cars 308.0 87.9 158.1 281.8 279.4 293.0 286.3 273.2 212.2 143.5 134.1 546.2 306.4 353.2 284.0 466.0 509.3 455.3 465.8 437.6 380.2 389.1

General Motors Honda Note: * - Initial, subject to revision. Sources: Automotive News & Ward's. 19 COMPANY SUMMARIES OF LIGHT VEHICLE PRODUCTION IN OHIO

The charts on the preceding and following pages illustrate light vehicle production in Ohio from 2008 through 2018 for the four high-volume light vehicle assemblers. Each had one or two assembly plants here in this time period. The impact of the recession is evident as light vehicle production at three of the four companies fell to the lowest levels in 2009. The recovery also is evident as output peaked for all four three to six years later.

However, changes other than the recession and recovery affected company variations in assemblies. Honda’s recovery was interrupted in 2011 as floods in East Asian parts suppliers’ plants slowed or stopped production for months, con- straining assemblies here. The impact was felt more in Marysville than in E. Liberty, as car output fell 19.6 percent from 353,200 to 284,000, while SUV output declined 17.9 percent from 234,100 to 192,700. Production leapt in 2012 as their suppliers recovered.

The summary car and light truck production figures mask more complex changes at Honda’s plants. The E. Liberty plant now assembles only sport-utility vehicles (SUVs) – more CR-Vs than MDXs and RDXs – after Civic production was transferred out of state in 2009 and Crosstour production ended in 2015. The Marysville plant assembled only cars – mostly Accords with various near-luxury Acura models – after RDX production moved to E. Liberty in early 2012 and be- fore supplemental CR-V production was added late in 2018. Regardless of location, Honda’s car production in Ohio has trended lower while SUV production jumped in 2018 as national consumer preferences have shifted from cars to light trucks.

GM effectively ceased mid-size SUV production at its Moraine plant in December 2008 (although 10 were assembled in January 2009 before it was permanently closed) as the recession and high gasoline prices reduced demand. At the same time, Lordstown’s car production fell and quickly recovered even as the Chevy Cruze replaced the Cobalt and G5. Annual between 273,000 and 293,000 before falling to 134,000 – again as national consumer preferences shifted from cars to light trucks.

See Tables A4a, A4b and A11

20 Light Vehicle Production in Ohio, 2008-2018: FCA and Ford 800.0

700.0

600.0 564.9

511.5 501.9 500.0

400.0 364.8

325.1 (inthousands) 296.0 300.0 269.1 275.0 248.5

236.7 Light Vehicles Assembled Vehicles Light

200.0

143.9 135.2 126.6 133.9 132.4 121.5 105.5 88.1 100.0 52.8 55.3 57.3 52.6

0.0 `08 `09 `10 `11 `12 `13 `14 `15 `16 `17 `18* `08 `09 `10 `11 `12 `13 `14 `15 `16 `17 `18* Light Trucks 248.5 143.9 236.7 269.1 275.0 296.0 511.5 564.9 501.9 364.8 325.1 126.6 88.1 121.5 133.9 135.2 132.4 105.5 52.8 55.3 57.3 52.6 Cars 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

FCA Ford Note: * - Initial, subject to revision. Sources: Automotive News & Ward's. 21 The chart above shows Fiat Chrysler Automobiles (FCA) and Ford assemble only light trucks in Ohio. FCA’s SUV output grew 292.6 percent from 143,900 in 2009 to 564,900 in 2015. Like Honda, the summary figures mask multiple changes at its two plants. Assemblies of Nitros and Jeep Liberties at Toledo North rose with recovery, but FCA terminated the former in December 2011 and the latter in August 2012 to retool the plant for Jeep Cherokee production, which started in June 2013.6 Output from Supplier Park, which assembled Jeep Wranglers, fully recovered from the recession by 2011 and passed 262,000 in 2015. Cherokee production quickly surpassed the growing Wrangler production, topping 302,000 in 2015. However, Cherokee production dipped in 2016 and transferred out of Ohio by April 2017. Meanwhile Wrangler production continued at Supplier Park until April 2018, at which time model JK production ended and model JL production started at Toledo North. Supplier Park is being retooled for Jeep pickup production, which is scheduled for early 2019. This explains why 2016-2018 aggregate production at the Toledo complex has been less than 2015 even as national con- sumer preferences have increasingly favored light trucks over cars.

The chart above shows only Ford’s Econoline van production at its Ohio Assembly plant in Avon Lake. Output rose from 88,100 in 2009 to plateau in the 132,000-136,000 range for 2011-2013. However, Ford shifted most of it out of state after June 2014. (The plant also re-tooled for bigger medium-duty truck production, which moved from Mexico in 2015; smaller light-to-medium-duty truck cabs and chassis were added in 2016.) Remaining Econoline production – still the largest part of Avon Lake’s output as judged by vehicle counts – is focused on a smaller market segment.

See Tables A4a, A4b and A11

22 Estimated Numbers and Percentages of Active Supply Plants in Ohio and Bordering States and Provinces, 2018 N. American Total = 7,228

2,000 20.0%

1,800 18.0%

1,600 16.0%

1,400 14.0%

1,200 12.0%

1,000 10.0% Numbers

800 8.0% Percentages

600 6.0%

400 4.0%

200 2.0%

0 0.0% Michigan Ohio Kentucky Pennsylvania W. Number 1,361 615 537 370 359 158 17 Pct. of N.A. 18.8% 8.5% 7.4% 5.1% 5.0% 2.2% 0.2%

Source: ELM Analytics

23 PARTS SUPPLIERS

All assemblers either have their own parts plants (notably for powertrain and large-size stamped components) or deal with independent parts suppliers. ELM Analytics has information on more than 7,200 such plants in N. America. They include assemblers’ parts plants and independent companies shipping directly to assemblers (known as tier-1 suppliers), indirect suppliers (tier-2 plants making parts and sub-assemblies for tier-1 plants) and plants supplying raw materials to the former (tier-3). The chart illustrates the numbers and percentages of such plants in Ohio and bordering states plus Ontario. The seven collectively form a contiguous area with 47.3 percent of all suppliers in N. America. The estimated 615 establish- ments in Ohio – 8.5 percent of those in N. America – rank the state second in group above and among all U.S. states and Canadian provinces combined.7

The larger independent tier-1 companies operating in America include Adient (spun off Johnson Controls), Aisin Seiki (part of Toyota’s keiretsu), Akebono, Allison, American Axle, Aptiv (fka Delphi Automotive), Autoliv, BorgWarner, Bosch, Bridgestone, Continental, Cooper Tire and Rubber, , Dana, (also part of Toyota’s keiretsu), Flex-N-Gate, Goodyear Tire & Rubber, Hyundai Mobis (part of the Hyundai-Kia keiretsu), INA’s Schaeffler, Johnson Controls, Lear, , Mahle, Meritor, , Nexteer, Peugeot’s Faurecia, Rockwell-Collins, Tenneco (which is buying Federal-Mogul), Valeo, (spun off Ford years ago) and ZF Friedrichshafen (which owns TRW Automotive). Other companies, such as Allied Signal, Eaton, , 3M, PPG Industries, , and United Technologies, have motor vehicle operations, but receive most of their revenue from outside of the motor vehicle industry. Most tier-1 com- panies make parts principally as original equipment (OE) for assemblers and secondarily as aftermarket (AM) replace- ments; tire companies are the most notable exception in this regard (Miles, 2018; Levy, 2014; Lifschutz, 2018; Savaskan, 2018). Many of these companies or their subsidiaries have establishments in Ohio and are found in the “Notable” section. The same diversity may characterize many of the smaller companies in ELM’s database.

Parts companies survive by making a few specialized items requiring a high degree of skill – and doing so more efficiently than assemblers. Their ability to spread research, development, and equipment expenditures over several contracts – as well as selling their expertise to many assemblers – gives them a cost advantage over assemblers. They also are less likely to have a unionized labor force. Tier-1 companies try to maintain a diversified tier-2 and -3 supply base to ensure a steady flow of parts at competitive prices. However, assemblers and tier-1 companies have been occasionally willing to provide financial and managerial assistance to the latter to maintain timely parts production (Levy, 2014: 26-27).

OE sales tend to be cyclical because they follow the sales of new vehicles. AM sales have been affected by two coun- tervailing trends: the improved durability of OE has depressed demand more than the in-recession tendency of owners to keep and repair vehicles instead of purchasing new ones (Levy, 2014: 27).

24 The role of tire makers in the industry is often discussed separately from other parts makers. AM sales constitute the vast majority of sales and are more profitable on a per-unit basis. However, OE sales are important because owners tend to replace tires with the same . In turn, OE sales contribute to a larger market share than could be attained in the AM alone, and greater economies of scale reduce per-unit operating costs, distribution and expenses (Levy, 2014: 28).

The tire industry is highly capital intensive. (Lifschutz, 2018, notes capital expenditures vary over time and may be rela- tively low at any one point.) Research and development efforts, production technology, and operations are very expen- sive. Consequently, the industry is dominated by a small number of vertically integrated giants; Bridgestone, Goodyear, and Michelin together account for about one-half of worldwide tire production. (The vertical integration does not extend into distribution and retail sales. Other large companies dominate this part of the business.) The tire industry consoli- dated long ago to become a global industry. Foreign–based manufacturers now own a substantial portion of U.S. domes- tic capacity. Goodyear and Cooper are the only two publicly-traded tire companies with U.S. headquarters (Levy 2014: 12).

Cost pressures and the increased number of niche markets compelled the giants to adopt flexible manufacturing techni- ques. These more sophisticated processes allow producers to economically meet customers’ specifications. Global tire makers also pursue technical improvements in their products as a means of attention in a competitive market (Prat, 1998). Tires have indeed become better at resisting wear according to the National Highway Safety Admini- stration. Consumers can search the Administration’s website starting at https://www.safercar.gov/.

The remainder of the motor vehicle-related rubber industry includes belts, hoses, motor mounts, bushings, window and door moldings, seals, etc., and their circumstances and fortunes are quite like other parts makers (Levy, 2014: 28).

25

Intentionally blank

26 Employment in Ohio's Motor Vehicle Industry Estimated Total, 2016: 107,455--100%

Parts: 80,535--74.9% Motor Vehicle Assembly: 20,785--19.3%

33639: Other Parts (inc. Glass), 14,435, 13% 33611: Light Vehicles, 17,337, 16%

33612: Medium- & Heavy-Duty Trucks, 3,448, 3%

33637: Stamping, 16,495, 15% 3362: Bodies & Trailers, 6,135, 6%

33631+: Gas Engines & Parts, + 2 Diesels & 3 Foundries, 9,577, 9%

33636: Seating & Interior Trim, 9,193, 9%

33635: Transmission & Power Train Parts, 11,118, 10%

32621: Tires, 3,096, 3%

33634: Brake Systems, 3,088, 3% 335911+33632: Batteries & Electrical/Electronic Eqpt., 33633: Steering & Suspension 9,681, 9% Parts, 3,852, 4% Sources: Company websites, ODSA, & U.S. Census Bureau 27 THE COMPOSITION OF OHIO’S MOTOR VEHICLE INDUSTRY – EMPLOYMENT AT THE PLANTS

The latest detailed data from the U.S. Census Bureau’s County Business Patterns (CBP), combined with figures from other sources, lead to an estimated 107,400-plus people working in Ohio’s motor vehicle industry. The chart above il- lustrates the distribution of employment by industry segment. Nearly 20,800, or 19.3 percent, worked at assembly plants (NAICS 3361), with 17,300-plus – 16.1 percent – in the light vehicle subgroup (33611) and 3,400-plus – 3.2 percent – at establishments assembling buses and medium-to-heavy-duty trucks (33612). The 6,100-plus producing bodies, trailers, motor homes, campers and other accessories (3362) were 5.7 percent of the industry total.

80,500-plus, or 74.9 percent, worked in parts and the related industries of tires and storage batteries; jobs at three found- ries, a glass and two diesel engine plants also are included because their products are dedicated to motor vehicles.8 Stamping (33637) was the largest specific industry within the parts group with about 16,500 jobs, or 15.4 percent of the total. It was followed by (1) transmission and power train parts (33635) at 11,100-plus – 10.3 percent, (2) the combination of electrical and electronic equipment with storage batteries (33632 with 335911) at close to 9,700 jobs – 9.0 percent, (3) the engines and components cluster (including the foundries and diesel plants) with well over 9,500 – 8.9 percent, and (4) seating and interior trim (33636) at nearly 9,200 jobs – 8.6 percent. 14,400-plus – 13.4 percent – worked in the catch-all subgroup of other motor vehicle parts (33639, HVAC, etc., plus automotive glass).

Light vehicle assembly plants are the largest in the industry, averaging more than 1,100 employees each, followed by me- dium- and heavy-duty truck plants at 380. These averages incorporate the dichotomies between the high-volume plants, all but one of which employ at least 2,000 people in Ohio, and the much smaller, specialized operations serving niche markets (e.g., customized cars, stretch limos, rescue vehicles, mobile facilities, fire engines, concrete mixers, etc.). A similar dichotomy may characterize new-tire plants (326211). The smallest plants typically are those manufacturing bodies, trailers, etc. (3362) and retreading tires (326212), while battery and parts plants (335911 and 3363) frequently employ between 100 and 400. However, parts plants owned by high-volume assemblers often employ more than 1,000.

Comparisons with national figures (based solely on CBP) point to specific industry concentration here. Overall motor vehicle industry employment is concentrated in Ohio, with 10.6 percent of the national industry’s workers here. By com- parison, 3.8 percent of all private sector employees in the nation (excluding those on farms and at railroad companies) worked in Ohio. The overall concentration is driven by specific industries especially concentrated here: medium- and heavy-duty trucks, electrical and electronic equipment, brake systems, transmission and power , seating and interior trim, and stamping. The concentration of employment closely corresponds with the concentration of value-added.

See Tables A3, A5 & A7

28 Pay in Ohio's Motor Vehicle Industries, 2016

$120,000 120.0% 112.2% 110.8% 111.3% 110.6% 107.8%

99.6% $100,000 100.0%

89.8%

$80,000 80.0% $79,268

$65,140 $65,156 $60,000 60.0% $60,668 $56,549

Mean Annual MeanAnnual Pay $50,009 $45,607

$40,000 40.0% As a Percentage As Percentage a Corresponding of U.S. Industry

$20,000 20.0%

$0 0.0% Total (Private Sector, Motor Vehicle Industry 33611: Cars & Light 33612: Medium & 3362: Bodies & Trailers 3363: Parts Overall 32621+335911: Related exc. Farm & Railroad) Total Trucks Heavy-Duty Trucks Industries Mean Annual Pay Percent of U.S. Industry Industry Source: U.S. Census Bureau 29 INDUSTRY WAGES

U.S. Census Bureau County Business Patterns data charted above show that employees in Ohio’s motor vehicle industry were estimated to have averaged more than $60,600 in wages and salaries, which is 110.8 percent of the corresponding national average and over $15,000 above the average for all private sector employees in Ohio (again excluding the ag- ricultural sector and the railroad transportation industry). There is considerable variation within the industry: work at light vehicle assembly plants (33611) more than $79,200 per year, while work in medium- and heavy-truck plants (33612) aver- aged $65,100-plus. Bodies and trailers (3362) paid $50,000, and parts (3363) averaged $56,500-plus. People working in the related tires and batteries cluster averaged more than $65,100. All of these specific segment averages equaled or exceeded corresponding national averages.

Data in Appendix table A6 show there was substantial variation between the individual industries within the parts group. At the high end, wages and salaries in transmissions and power train parts paid $73,500, followed by gasoline engines and components at $71,400. At the other end, employees in seating and interior trim were paid less $41,700. One pos- sible explanation for the higher wages in the former two is that a large portion of employment is at subdivisions of high- volume assemblers, while those in other groups are less likely to work for assemblers.

See Table A6

30 ! ! ! ! ! ! !

! ! ! ! ! ! !

! ! ! ! ! ! !

! ! ! ! ! ! !

! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Lake ! ! A! sh!tab! ula! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1!1 ! ! ! ! 7 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! L! !u! c! a! s! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Fu!lton! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !2! 6! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Williams ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! ! !! ! ! ! ! ! ! ! ! 7 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! ! ! ! ! ! 9 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! O! !t!ta! !w! a! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 3! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! G! eaug! a ! ! !! ! ! ! ! ! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !1 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! C! ! u! y! !a! h! o! !g! a! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Number of Establishments ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 5! !9! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Defiance Wood Sandusky Erie ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Henry ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Trumbull ! ! ! ! ! ! ! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Lorain ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 5 9 5 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 9 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 3 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1! 3! ! ! ! ! ! in Ohio's ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !18! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Portage ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Motor Vehicle Industry ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Huron ! S! ! u! m! ! !m! !it! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Se! ne! ca ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 5 ! ! ! ! ! ! ! ! ! Paulding ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 2! !3! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 3 Medina ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 4 5 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Statewide: 578 14 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Pu! tn! am! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Mahoning ! ! H! a! n! c!o!ck! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 5 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! !! ! ! ! ! ! ! ! ! ! 5 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1!6 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! !! ! ! ! ! ! !! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Van Wert ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! A! shland! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Crawford ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Wy! ando! t ! ! ! ! ! ! ! ! ! ! ! ! ! ! W! !ay! n! e! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 3 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! S! ta! r!k ! ! ! ! ! Columbiana ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 2 ! ! ! 6 ! ! ! Richland ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1! 4! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Allen ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 17 ! ! ! ! 8! ! ! ! ! ! ! ! 1!0 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 7! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Hardin ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 2 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Marion ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Au! gla! ize! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! C!ar! rol! l ! ! ! ! ! ! ! ! Mercer ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 7 ! ! ! ! ! ! ! ! ! ! ! ! ! ! Holmes ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 6 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1! ! ! ! 4 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Mo! rrow 4 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 3 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Jefferson ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Knox 2 !! ! !! ! ! ! ! ! ! ! ! ! !! ! ! ! Logan ! ! ! ! ! ! ! ! ! Tu!sca! raw! a!s ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 4 ! ! ! ! ! ! ! ! ! ! 4 9 ! ! ! ! ! ! Shelby ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Union ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !11! ! ! ! ! Coshocton Harrison ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Establishments ! ! ! ! ! ! ! ! ! ! ! 2 Delaware ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 5 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! in County ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !

! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Darke Champaign ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 5 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 4 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Licking ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! None ! ! ! ! ! ! ! M! ia! mi! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Guernsey ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 7! ! ! ! 7 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! B! elm! ont ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 3 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 2 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !F! r!a! n! !k!li! n! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1 - 4 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Muskingum ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! C! l! a!rk! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !3! 0! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 15 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! M! ! o! !n! t!g! o! !m! !e! r! y! !! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Madison! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 5 - 9 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! ! ! ! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 3! !3! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! 6! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Preble ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Fairfield Noble ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Monroe ! ! ! ! ! ! 10 - 19 4 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 6 ! ! ! Perry ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Greene ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1 ! ! ! ! ! ! ! Pickaway ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Mo! rga!n ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! 20 - 59 1 ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Fayette ! ! ! ! ! ! ! 2 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !

! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 2 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Washington ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Hocking ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Butler ! ! ! W! a! r! re! n! ! ! 1 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Cl!inton! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1! 1! ! ! ! ! ! ! ! 9 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 2 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !Ros! s ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Athens ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 6 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! Vinton ! ! ! H! a! m! il! to! n! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1!0 ! ! ! ! ! !! ! ! ! ! ! Highland ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 2 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Meigs Sources: ! ! ! ! ! ! ! ! ! ! ! ! ! ! Pike ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! C! lermont ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Ja! ckso! n ! ! ! 2016 County Business Patterns, ! ! 7! ! !

! ! ! ! ! ! ! ! ! ! ! ! ! ! 1! ! ! ! ! ! ! ! ! ! U.S. Census Bureau and various ! ! ! ! ! ! ! Brow! n ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !

! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1 Adams Scioto Gallia private sector publications ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1! ! ! ! ! ! ! 1

! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !

! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Prepared by: Office of Research, ! ! ! ! ! ! ! ! ! ! ! ! !

! ! ! ! ! ! ! ! ! ! ! ! ! ! Ohio Development Services Agency Lawrence ! ! ! ! ! ! ! ! ! !

! ! ! ! ! ! ! ! ! ! December 2018

31 R101918A THE DISTRIBUTION OF INDUSTRY ESTABLISHMENTS ACROSS OHIO

The motor vehicle industry is widely distributed across Ohio. The latest available data, mapped above, show 578 es- tablishments in 76 counties.9 However, the majority of establishments are found in 15 counties: Cuyahoga – 59, Mont- gomery – 33, Franklin – 30, Lucas – 26, Summit – 23, Lorain – 18, Hancock – 16, Clark – 15, Medina and Wayne – 14 each, Trumbull – 13, and Lake, Shelby and Warren – 11 each. Hamilton and Richland each had 10; twenty-six counties had from five to nine establishments, and 33 had from one to four.

It is interesting to note that the seven counties with the eight high-volume assembly plants – Clark, Logan, Lorain, Lucas, Ross, Trumbull, and Union – had a total of 84 industry establishments. This is a larger-than-proportional count (an aver- age of 12 each compared to 7 for the other 69 counties with plants), and 14.5 percent of the state total, but far from the majority.

See Table A7

32 ! ! ! ! !

! ! ! !

! ! ! ! ! ! ! ! !

! ! ! ! ! ! ! !

! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Lake Ashtabula ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 500 90 ! ! !L! u! !c!a! s! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Fulton ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !9! ,!6! 6! 6! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! !! ! ! ! !! !! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Williams ! ! ! ! ! !1!,5!22! ! ! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! !! ! ! ! ! ! !! !! ! ! ! !! ! ! ! ! O! ! t!t!a!w! !a! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 779 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !3! 7! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! !! ! ! ! !! !! ! ! ! ! ! !! ! ! ! !! !! ! ! ! ! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! G! eaug! a ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 28 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! !! ! ! ! ! ! !! !! ! ! ! !! ! ! ! ! ! !! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! ! C! !u! y! !a!h! o! !g! a! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Total Employment ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! !5!,1! !0! 2! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Henry Erie ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! D! e! fi! a!nc! e! ! ! ! ! ! ! ! ! W! o! o! d! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Sandusky ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !T!r!u! m! ! b! !u! l! l! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! ! ! ! ! ! !! !! ! ! ! !! ! ! ! ! ! !! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 478 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 2! ,!53! 1! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1,917 3,877 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1!,4!36! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Lorain ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 6! !,0! !5!5! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! in Ohio's ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 2! ,8! 5!3 ! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Po! rta! ge! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Motor Vehicle Industry ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Huron 842 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! !! ! ! ! ! ! !! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !Su! m! !m! it! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Paulding ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Se! ne! ca ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 216 ! ! ! ! ! ! ! ! ! M! e! d! ina ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1,578 ! ! ! ! ! ! ! 1! 75 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 668 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 718 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Statewide: 107,455 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! P! u! tn! a! m! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Ma!honin! g ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Hancock ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1,510 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 94 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 4! !,7! 6! !4! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Van Wert ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Ashland ! ! 415! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !Wyandot Crawford ! ! ! ! ! ! ! ! ! ! ! ! ! ! W! !ay! n! e! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !R!ic!h!la!n!d ! ! ! ! ! ! ! ! ! ! ! ! ! ! Stark ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Columbiana ! ! ! ! ! ! ! ! 50! 2 ! ! ! !804! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! A! l!le! n! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 3! ,3! 8! 4! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! 1! ,5! 7! 2! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! 9! 84! ! ! ! ! ! ! 74!7 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 2!,0! 6!4 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !Ha!rdi!n ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 500 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Marion ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! A! u! g! la! i!ze! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! C!ar! rol! l ! ! ! ! ! ! ! ! Mercer ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1! ,!36! 0! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! 5! 04! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! Holmes ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 3! ! ! ! ! ! 1! ,17! 7 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Morrow 74 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! ! ! !! ! ! ! !! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 756 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Jefferson ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! !! !! ! ! ! !! ! ! ! ! ! !! !! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 22 ! ! ! ! ! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! ! ! L!og! a! n! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! K! no!x ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Tuscarawas ! ! !! !! ! ! ! ! ! !! ! ! ! !! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 3,549 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 688 Shelby ! ! ! ! ! ! ! ! ! ! ! ! 298 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !U! n! !io! !n! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Coshocton ! ! ! ! ! ! ! !4!,!0!8! 9! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Harrison ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! Employment ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! 4! !,0! !0! 3! ! ! ! ! ! ! Delaware ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 3 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 755 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! in County ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Darke ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Champaign ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 614 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1,! 21!5! !! ! !! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! ! L! ic! k!in! g! ! ! ! ! ! ! ! ! ! ! ! Miami ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! None ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Gu! er!nse! y ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !1,! 4!58! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1!,06!8 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Belmont ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 826 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 145 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! F!ra! n!kl! in! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1 - 499 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Clark Muskingum ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 2! ,3! 8! 7! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 2,575 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! M! ! o! !n! t!g! o! !m! ! e! r! y! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !M! a! d!is!o!n ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 500 - 1,249 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 5,968 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 2,401 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Preble ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Noble ! ! ! ! ! ! ! ! ! ! ! Fairfield ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 788 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Monroe ! ! ! ! ! 1,250 - 3,999 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Perry ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Greene ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 172 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 333 Pickaway ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Morgan ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! ! 333 ! ! ! ! ! ! ! ! 4,000 - 9,666 Fayette ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! !! ! ! ! !! ! ! ! 400 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! 145 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Washington ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Hocking ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Butler ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! W! a! r!re! n! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 3 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! C!lint! on! ! ! ! ! ! ! 1! ,8! 0! 7! ! ! ! ! ! ! 2!,5!17! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 1,231 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! R! o! s! s! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Athens ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 2!,3! 7!9 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Vinton ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! H! a!m! il! to! n! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 2! ,3! 1! 6! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Highland ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 81 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Meigs Sources: ! ! ! ! ! ! ! ! ! ! ! ! ! ! Pike ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! C! lermont 333 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 295 ! ! ! ! ! ! ! ! ! ! ! Ja! ckso! n ! ! ! 2016 County Business Patterns, 28 ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Brown U.S. Census Bureau and various ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 143 Gallia ! ! ! ! ! ! ! Scio! to ! ! ! ! ! ! ! Adams 333 private sector publications ! ! ! ! ! ! ! ! ! 3 ! ! ! ! ! ! !

! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Prepared by: Office of Research, ! ! ! ! ! ! ! ! ! ! ! ! !

! ! ! ! ! ! ! ! ! ! ! ! ! ! Ohio Development Services Agency Lawrence ! ! ! ! ! ! ! ! ! !

! ! ! ! ! ! ! ! ! ! December 2018

33 R101918A THE DISTRIBUTION OF INDUSTRY EMPLOYMENT ACROSS OHIO

The map above illustrates the distribution of motor vehicle industry employment by county. Ten counties had about 47 percent of the jobs. Lucas had the largest number – estimated between 9,600 and 9,700 at the time, followed by Trumbull with 6,000-plus. They were followed by: Cuyahoga and Montgomery – each with well over 5,000, Hancock, Shelby and Union – each with more than 4,000, and Logan, Wayne and Wood – each with more than 3,000. Nine more counties had between 2,000 and 3,000 jobs each; 13 counties had between 1,000 and 2,000; 17 counties had from 500 to 999; and 27 counties had between 1 and 500.

The seven counties with high-volume assembly plants – Clark, Logan, Lorain, Lucas, Ross, Trumbull, and Union – had 84 industry establishments – just 14.5 percent of the total – and close to 31,100 industry jobs – 28.9 percent of the total. High-volume assembly plants are very large employers and may support many other industries jobs close by. Counties fitting this pattern were:

• Clark (about 1,500 at the Navistar plant at the time and at least 1,000 other industry jobs), • Logan (well over 2,200 at Honda’s E. Liberty plant at the time and 1,300 other industry jobs), • Lorain (1,500 at Ford’s Ohio Assembly plant in Avon Lake at the time and well over 1,300 other industry jobs), • Lucas (well over 5,600 at FCA’s complex at the time with 4,000 more industry jobs), • Trumbull (4,000-plus at GM’s Lordstown plant at the time and about 2,000 other industry jobs), and to a lesser extent • Ross (well over 1,800 at Kenworth’s Chillicothe plant at the time with about 500 other industry jobs).

The exception was Union, where virtually all industry jobs were at Honda’s Marysville assembly plant. Still, there were many other industry jobs in bordering counties: 2,400 in Madison, almost 2,400 in Franklin and 1,200 in Champaign. This characterizes other assembly counties: Miami and Montgomery border Clark (as does Champaign), Auglaize and Shelby border Logan (as does Champaign), Cuyahoga and Erie border Lorain, and Fulton and Wood border Lucas. There were 800-plus jobs in Portage, which borders Trumbull, but no one county bordering Ross appeared to have at least 500 jobs.

A second factor beyond propinquity to assembly plants is easy access to interstate highways. In addition to the counties mentioned above, this describes Allen, Butler, Clinton, Defiance, Hamilton, Hancock, Licking, Preble, Putnam, Richland, Sandusky, Summit, Warren and Wayne – each with at least 1,000 industry jobs. (Hancock and Summit also are global headquarters for Cooper and Goodyear.) I75 is the most prominent of the five interstate highways in Ohio.

See Table A7

34 FOREIGN INVESTMENT IN OHIO

106 foreign-based companies from 17 countries operate 143 motor vehicle or related industry establishments in Ohio, either solely or as joint venture partners; 14 of them are on Fortune’s Global 500 list. The list below identifies them, their home-office countries, their Ohio subsidiaries, their industry segment(s) and the estimated employment here. The ar- rangements may be complex, as seen with Honda’s subsidiaries and affiliates here. (Affiliates may be partially owned by Honda, a joint venture between it and others, or they may be independent but have Honda as their principal customer.)

Total Foreign Parents Countries Ohio Subsidiaries ^ Industry Side Jobs~

Adient plc (fka Delphi Automotive plc) Ireland Adient in Greenfield and Northwood Parts only 650 Ahresty Corp. Ahresty Wilmington Parts only 840 Aisin Seiki Co., Ltd. Japan Adivcs Mfg. Ohio, Inc. Parts only 675 Aptiv plc Aptiv Parts only 620 ArcelorMittal SA* Luxembourg ArcelorMittal Tailored Blanks Parts only 83 Atsumitec Co., Ltd. Japan Ada Technologies, Inc. Parts only 320 Autoneum Holding AG Switzerland (total, including JV) 650 Autoneum N. America, Inc. Parts only 350 Nihon Tokushu Toryo Co., Ltd. (JV) Switzerland-Japan UGN, Inc. Parts only 300 Borgers SE & Co. KGaA Borgers Ohio, Inc. Parts only 195 Bosch Group GmbH* (fka Robert Bosch) Germany Bosch Battery Systems LLC Parts only 35 Bridgestone Corp.* Japan Bridgestone APM Co. Parts only 800 Daido Metal Co., Ltd. Japan ISS America, Inc. Parts only 42 Daimler AG* Germany Detroit Diesel Re-mfg.-East Parts only 463 Dia Seiko Co., Ltd.-ABC Group (JV) Japan-Canada ABC Inoac Exterior Systems LLC Parts only 450 Eaton plc Ireland Eaton Corp. Parts only 150 Fehrer Enterprise Corp. NC Works, Inc. Parts only 30 Feintool Intl. Holding AG Switzerland Feintool Cincinnati, Inc. Parts only 250 Fiat Chrysler Automobiles NV* (FCA) Netherlands FCA US LLC Assembly-parts 6,800 FCA partner: Hyundai Mobis Co., Ltd.* S. Korea Mobis N. America LLC Body-chassis 575 FCA partner: Midea Group Co., Ltd.* Kuka Toledo Production Operations LLC Body-chassis 355 Toledo Assembly Complex subtotal: FCA+Mobis+Kuka 6,830 Fine Sinter Co., Ltd. Japan American Fine Sinter Co., Ltd. Parts only 250 F-Tech, Inc. Japan F&P America Mfg., Inc. Parts only 980 Fuserashi Co., Ltd. Japan Fuserashi Intl. Technology, Inc. Parts only 90 Fuyao Glass Industry Group Co., Ltd. China Fuyao Glass America, Inc. Parts only 2,000 Grammer AG1 Germany Toledo Molding & Die, Inc. Parts only ~1,025 GS Electech, Inc. Japan GSW Mfg., Inc. Parts only 290 G-Tekt Corp. Japan Jefferson Industries Corp. Parts only 600 Hahn & Co. Auto Holdings Co., Ltd. S. Korea Hanon Systems USA LLC Parts only 140 Hayashi Telempu Co., Ltd. Japan Hayashi Telempu N. America Corp. Parts only 155 Hirschvogel Holding GmbH Germany Hirschvogel, Inc. Parts only 325

35 Total Foreign Parents Countries Ohio Subsidiaries ^ Industry Side Jobs~

Hitachi Ltd.* Japan AAP St. Marys Corp. Parts only 620 Hoerbiger Stiftung Switzerland Altronic LLC Parts only 200 Honda Motor Co., Ltd.* Japan (total) 11,925 Cardington Yutaka Technologies, Inc. Parts only 725 Celina Aluminum Precision Technology, Inc. Parts only 550 Honda of America Mfg., Inc. Assembly-parts 9,550 Honda Transmission Mfg. of America, Inc. Parts only 1,100 Honda affiliates: (total) 7,150 Autoliv, Inc.*2-Nissin Kogyo Co., Ltd. (JV) Sweden-U.S.-Japan Autoliv-Nissin Brake Systems Parts only 920 KTH Parts Industries, Inc. Japan (subtotal) 1,575 Kalida Mfg., Inc. Parts only 475 KTH Parts Industries, Inc. Parts only 1,100 Moriroku Holdings Co. Japan Greenville Technology, Inc. Parts only 865 Nihon Plast Co., Ltd. Japan Neaton Auto Parts Mfg., Inc. Parts only 925 Tanaka Seimitsu Kogyo Co., Ltd. Japan FT Precision, Inc. Parts only 300 TS Tech Co., Ltd. Japan (subtotal) 1,490 Tri-Mold LLC Parts only 290 TS Tech USA Corp. Parts only 600 TS Trim Industries, Inc. Parts only 600 Yachio Industry Co., Ltd. Japan (total) 375 AY Mfg. Ltd. Parts only 175 US Yachio, Inc. Parts only 200 Yamada Mfg. Co., Ltd. Japan Yamada N. America, Inc. Parts only 700 Howa Textile Industry Co., Ltd. Japan American Howa Kentucky, Inc. Parts only 135 Ikeda Mfg. Co., Ltd. Japan Sunfield, Inc. Parts only 75 Imasen Electric Industrial Co., Ltd. Japan Imasen Bucyrus Technology, Inc. Parts only 560 INA Holding GmbH & Co. KG (fka Schaeffler) Germany LuK-Schaeffler Group USA, Inc. Parts only 1,770 Intl. Automotive Components Group SA (IAC) Luxembourg IACs Huron and Wauseon LLCs Parts only 1,400 Isuzu Motors Ltd.-General Motors Co.*3 (JV) U.S.-Japan DMAX Parts only 796 Johnson Electric Holding Ltd. China (Hong Kong) Johnson Electric N. America, Inc. Parts only 450 KA Group AG Switzerland Kongsberg Automotive Parts only 70 Kaneta Kogyo Co., Ltd. Japan Bucyrus Precision Tech, Inc. Parts only 175 Kasai Kogyo Co., Ltd. Japan Kasai N. America, Inc. Parts only 650 Keihin Corp. Japan Keihin Thermal Technology of America, Inc. Parts only 425 Kirchhoff Holding GmbH & Co.KG Germany Kirchhoff Automotive Parts only 65 Knorr-Bremse AG Germany Bendix Commercial Vehicle Systems LLC Parts only 525 Knott GmbH Germany Knott Brake Co. Parts only 90 Magna Intl., Inc.* Canada (total, including JV) 2,140 Magna Cosma Intl./Vehtek Parts only 750 Magna Decoma Intl. Parts only 200 Magna Seating of America, Inc.4 Parts only 160 Norplas Industries, Inc. Parts only 1,000 Magna Intl., Inc.*-Grammar AG (JV) Canada-Germany Gra-Mag Truck Interior Systems LLC Parts only 30

36 Total Foreign Parents Countries Ohio Subsidiaries ^ Industry Side Jobs~

Mahle GmbH Germany (total) 1,315 Mahle Behr Dayton LLC Parts only 1,200 Mahle Engine Components USA, Inc. Parts only 115 Matcor-Matsu Group, Inc. Canada Matsu Ohio, Inc. Parts only 330 MEK Group MEK Van Wert, Inc. Parts only 10 MITEC Automotive AG Germany MITEC Powertrain, Inc. Parts only 200 Mitsubishi Electric Corp.* Japan Mitsubishi Electric Automotive America, Inc. Parts only 675 Molten Corp. Japan Molten (N. America) Corp. Parts only 180 Motherson Sumi Systems Ltd. MSSL Wiring Systems, Inc. Parts only 100 Muro Corp. Japan Murotech Ohio Corp. Parts only 130 Nippon Seiki Co., Ltd. Japan New Sabina Industries, Inc. Parts only 450 Ohashi Technica, Inc. Japan Ohashi Technica USA, Inc. Parts only 20 Okamoto Industries Japan Okamoto Sandusky Mfg. LLC Parts only 100 Pacific Industrial Co., Ltd. Japan (total) 662 Pacific Industries USA, Inc. Parts only 12 Pacific Mfg. Ohio, Inc. Parts only 650 Pavaco Plastics, Inc. Canada Hematite, Inc. Parts only 20 Peugeot SA* (total, including JV) 920 Faurecia USA Holdings, Inc. Parts only 785 Faurecia SA-Bruce Smith (JV)5 France-U.S. Detroit Mfg. Systems LLC Parts only 135 Pioneer Corp. Japan Pioneer Automotive technologies, Inc. Parts only 175 Qingdao Sunsong Co., Ltd. China Harco Mfg. Group LLC Parts only 100 Quilvest SA Luxembourg Creative Extruded Products, Inc. Parts only 250 Rank Group Ltd. New Zealand FRAM Group Operations LLC Parts only 280 Röchling SE & Co. KG Germany Roechling Automotive Corp. USA LLP Parts only 110 Roki Holdings Co. Ltd. Japan Roki America Co., Ltd. Parts only 410 S&T Motiv Co., Ltd. S. Korea S&T Automotive America LLC Parts only 80 Sankei Giken Co., Ltd. Japan Newman Technology, Inc. Parts only 700 Sankyo Kogyo Co., Ltd. Japan SK Tech, Inc. Parts only 100 Sanoh Industrial Co., Ltd. Japan Sanoh America, Inc. Parts only 700 Sekisui Chemical Co., Ltd. Japan Sekisui Plastics USA, Inc. Parts only 50 Shanghai Automotive Industry Corp.* (SAIC)- Johnson Controls Intl., Inc.* (JV) China-U.S. Yanfeng US Automotive Interior Systems ll LLC Parts only 320 Shanghai Shenda Co., Ltd.-IAC Group SA (JV) China-Luxembourg Auria Solutions Ltd. Parts only 900 Shougang Group Corp.* China BWI N. America, Inc. Parts only 160 Showa Corp. Japan American Showa, Inc. Parts only 1,135 Stanley Electric Co., Ltd. Japan Stanley Electric US Co., Inc. Parts only 1,500 Sumitomo Riko Co., Ltd. Japan SumiRiko Ohio (fka DTR) Parts only 610 Tachi-S Co., Ltd.-Johnson Controls Intl., Inc.* (JV) Japan-U.S. Setex, Inc. Parts only 500 Taiho Kogyo Co., Ltd. Japan Taiho Corp. of America Parts only 180 Temasek Holdings Ltd. Singapore Kidron Metal Products Bodies-trailers 200 ThyssenKrupp AG* Germany ThyssenKrupp Bilstein of America, Inc. Parts only 750 Tokai Kogyo Co., Ltd. Japan Green Tokai Co., Ltd. Parts only 770

37 Total Foreign Parents Countries Ohio Subsidiaries ^ Industry Side Jobs~

Toyo Denso Co., Ltd. Japan Weastec, Inc. Parts only 200 Toyobo Co., Ltd. Japan Toyobo Kureha America Ltd. Parts only 40 Toyoda Gosei Co., Ltd. Japan Sealing Systems LLC Parts only 300 Tremcar Technologies, Inc. Canada Tremcar USA, Inc. Bodies-trailers 60 Treves Group France Treves Group Parts only 90 USUI Kokusai Sangyo Kaisha Ltd. Japan USUI Intl. Corp. Parts only 375 Valeo SA France Valeo N. America, Inc. Parts only 235 Group Corp. China Powers and Sons LLC Parts only 230 Yamashita Rubber Co., Ltd. Japan YUSA Corp. Parts only 630 Yanagawa Seiki Co., Ltd. Japan YSK Corp. Parts only 150 ZF Friedrichshafen AG Germany TRW Automotive, Inc. Parts only 210

Abbreviations, notes and sources: fka – formerly known as; JV – a joint venture between at least two companies; Intl. – International; Mfg. – Manufacturing; ^ – some subsidiaries are included because their output is dedicated to the motor vehicle industry even though their NAICS codes are not ones used to define the in- dustry for this report; ~ – job figures are from the Office of Research, ODSA (2018a) except as noted; * – a Fortune U.S.-1,000 and/or Global-500 company; Fiat Chrysler Automobiles is not on Fortune’s lists, but it has sufficient revenue to be included; 1 – jobs figure from Manta (2018) is approximate; 2 – Autoliv is incor- porated in the state of Delaware and headquartered in Sweden; 3 – General Motors is the majority owner; the jobs figure is from its website; 4 – one site is closing soon and jobs will be lost; 5 – Bruce Smith is an American who bought the part of Detroit Mfg. Systems owned by another America; Faurecia remains a partner (Clifford, 2018) – hence the joint French-U.S. credit.

The companies listed above collectively employ an estimated 66,700 people.10 Honda is the largest with 11,925 at its manufacturing facilities (more are employed at its non-manufacturing facilities), while 7,150 more work at its affiliates. Fiat Chrysler Automobiles (FCA) is the second largest with 6,800 combined from its Toledo assembly and Perrysburg parts plants. (Subtracting Perrysburg jobs and adding Kuka’s and Mobis’ employment brings total employment at the Toledo complex to 6,830.) Other foreign-based companies with at least 1,000 workers in Ohio include Fuyao Glass, Grammer, INA’s LuK-Schaeffler [sic], the International Automotive Components Group, KTH Parts, Magna International, Mahle, Showa, Stanley Electric and TS Tech. Honda and FCA are the only assemblers (NAICS 3361, Kuka and Mobis provide bodies-chassis). Tremcar and Temasek’s Kidron are bodies-trailers-etc. manufacturers (3362). All others make parts (3363) or components predominately and specifically for motor vehicles from related-industries; examples include Ah- resty’s castings (33152), Bridgestone’s rubber vibration control products (326291), Daimler’s re-manufactured diesel en- gines (333618), Fuyao’s automotive glass (32721), Grammer’s plastic products (32619), Pioneer’s automotive sound sys- tems (3346), Sanoh’s metal tubes (33299), etc.

Fifty-five of the foreign-based companies are headquartered in Japan, 14 in Germany, eight in China, five each in Canada and Switzerland, three each in France, Luxembourg and S. Korea, two each in Ireland, and one each in India, the Nether- lands, New Zealand, Singapore, Spain, Sweden, Taiwan and the United Kingdom. It appears 39,080 people work for companies headquartered in Japan; this is about 58.6 percent of the 66,700. The approximately 7,100 working for Ger-

38 man companies amount to 10.6 percent (that includes the Magna-Grammer joint venture site). The 6,800 working for Netherland’s-based FCA are 10.2 percent, and the 4,515 at Chinese companies are 6.8 percent.11 Companies from other countries account for less than 5.0 percent each.

39

TRENDS

40 Employment Trends in Ohio's Motor Vehicle Industry: 2006-2016

160.0 12.0%

11.6% 11.4% 11.3% 11.1% 11.2% 10.7% 10.7% 10.4% 10.5% 10.6% 10.6% 126.4

120.0 116.4 9.0%

26.8 108.5 102.8 23.6 100.1 4.9 22.4 92.9 88.4 20.8 5.4 21.0 83.0 81.1 18.0 5.8 77.5 78.5 80.0 16.9 6.1 6.0% 5.9 17.6 14.9 5.2

16.7 16.7 4.9 (in thousands)

NumberJobs of 4.1 3.9 3.6 3.4

90.4 83.0

75.8 U.S. of asTotal Percent OhioTotal 40.0 68.5 71.2 3.0% 62.3 65.5 57.7 57.3 53.3 54.3

4.2 4.4 4.7 4.4 4.2 4.3 4.3 4.7 4.6 0.0 3.9 4.0 0.0% 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Related Industries 3363: Parts Source: U.S. Census Bureau 3362: Bodies & Trailers 3361: Assembly 41 EMPLOYMENT

The chart above shows employment in Ohio’s motor vehicle industry fell 38.7 percent from 126,400 in 2006 to 77,500 in 2010. The biggest drop occurred from 2008 to 2009 when 27,400 jobs were lost. Employment has since risen 32.6 per- cent from the depth of the recession to 102,800 in 2016.12 However, the net loss of 23,600 jobs in 10 years is an 18.7 percent decrease. This overall loss reflects declines in the two largest groups: 19,200 in parts (3363) and 6,100 in as- semblies (3361) – decreases of 21.3 and 22.6 percent, respectively. This contrasts with the bodies and trailers group (3362), which saw a net gain of 1,200 jobs – 24.3 percent, and the related tire and battery industry cluster with a net gain of 500 – 11.1 percent. Detailed data in Appendix table A8 show job losses concentrated – both in absolute numbers and percentage change – in light vehicle assembly (33611), and in seven of the eight parts industries, with seating and in- terior trim (33636) the exception.13 Two reasons total industry employment has not returned to pre-recession levels in most constituent industries some larger plants were permanently closed during the 2008-2009 recession and operators have improved productivity through automation and streamlined production processes at the remaining plants (Miles, 2018; Savaskan, 2018).

The chart above also illustrates Ohio’s overall industry employment figures as percentages of the corresponding national totals. The 126,400 employees in 2006 were 11.6 percent of the U.S. total, the 77,500 in 2010 were 11.2 percent, and the 102,800 in 2016 were 10.6 percent. The incremental changes in percentages while employment changed so dramatically mean (1) what happened in Ohio was generally part of what happened across the country, and (2) industry employment in Ohio is slightly less concentrated.

Employment in the transportation equipment portion of Ohio’s motor vehicle industry (3361-3363) in 2017 decreased 1.8 percent from 2016 according to data from the U.S. Bureau of Labor Statistics’ (BLS) Quarterly Census of Employment and Wages. Additions in the parts and bodies and trailers groups were more than offset a drop at assembly plants. Employ- ment in the tires industry also declined by 3.0 percent. (No data are available for the batteries industry in Ohio.) Com- parable statistics show U.S. transportation equipment employment increasing 2.6 percent with growth in all three groups and tire industry employment increasing 1.5 percent.

See Table A8

42 Motor Vehicle Industry (NAICS 3361-3363) Output and Its Concentration in Ohio, 1997-2016 $160.0 16.0%

$140.0 14.0%

$120.0 12.0%

$100.0 10.0%

$80.0 8.0%

$60.0 6.0%

$40.0 4.0%

(in billions, standardized on 2009) on standardizedbillions, (in

Ohio as a Percentage of U.S. Output U.S. of PercentageOhioaas Value of Motor Vehicle Industry Industry Output Motor of Vehicle Value

$20.0 2.0%

$0.0 0.0% 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Ohio MV Output $12.0 $14.3 $13.6 $14.0 $12.0 $14.2 $14.3 $16.7 $17.0 $18.7 $16.6 $11.9 $4.1 $7.6 $11.2 $12.9 $12.3 $14.1 $13.2 $12.7 U.S. MV Output $89.0 $98.4 $104.4 $106.9 $96.7 $110.1 $119.5 $122.8 $129.6 $142.8 $136.4 $106.8 $48.4 $99.8 $127.5 $138.3 $145.3 $151.5 $151.8 $153.9 Ohio MV as Pct. of U.S. 13.5% 14.5% 13.0% 13.1% 12.5% 12.9% 11.9% 13.6% 13.1% 13.1% 12.2% 11.1% 8.4% 7.7% 8.8% 9.3% 8.4% 9.3% 8.7% 8.2% Ohio Total as Pct. of U.S. 4.0% 4.0% 3.9% 3.8% 3.8% 3.8% 3.7% 3.7% 3.6% 3.5% 3.5% 3.4% 3.3% 3.4% 3.4% 3.4% 3.4% 3.4% 3.4% 3.4%

Source: U.S. Bureau of Economic Analysis 43 GROSS DOMESTIC PRODUCT

Gross Domestic Product (GDP) figures represent the net values of goods and services, expressed in dollars, produced during a year. The U.S. Bureau of Economic Analysis (BEA) calculates these values for each industry in every state, in- cluding the motor vehicle industry (NAICS 3361-3) in Ohio. The cyclical nature of motor vehicle industry output is evident after adjusting for inflation. It is easier to see in the chart above where U.S. motor vehicle industry output (gold columns) rose 20.1 percent from 1997 through 2000 before falling in 2001. Output more-than-recovered in 2002 and continued growing through 2006 – an increase of 47.7 percent – and was still very high in 2007 before plummeting 66.1 percent from 2006 to the recession nadir in 2009. Beginning in 2009, output rose almost as dramatically as it fell, surpassing in 2013 the pre-recession peak of 2006 and growing a bit thereafter. Output from Ohio (red columns) closely corresponds with the national trends: 16.5 percent growth in 1997-2000, 55.4 percent growth in 2001-2006, and a 78.6 percent plunge in 2006-2009. Although output from Ohio rose 216 percent from 2009 through 2012, it has since fluctuated and remains below the pre-recession peak of 2006. Except for the latest few years, production trends in Ohio’s motor vehicle industry largely reflect what has happened throughout the nation.

Normally such swings in output are principally due to consumers’ desires to feel comfortable before spending so much money. Sales and production typically rise during periods of sustained economic growth because jobs are plentiful, and customers feel sufficiently confident making large expenditures. Conversely, sales and production fall when the economy contracts and the unemployment rate is high. Sales and production also are affected by secondary factors such as the cost of operation (insurance, gasoline, etc.), engineering and style changes, safety and other qualitative improvements (which make older models obsolete) and low interest rates (Levy, 2014: 26). Analysts linked the severity of the 2008- 2009 recession with the chaotic near-collapse of the financial system and its constriction of credit for businesses as well as consumers. They also credit the federal government’s loans to GM and Chrysler (which were quickly repaid after a whirlwind trip through bankruptcy court) and its ultra-low interest rate environment in aiding the industry’s recovery (Miles, 2018; Savaskan, 2018).

The chart above also illustrates the reduced concentration of the industry in the state. While economic activity in Ohio ranged between 3.3 and 4.0 percent of total domestic output (orange triangles), typically 12 to 14 percent of U.S. motor vehicle industry goods (red dots) originated here before the recession. Only with the onset of the recession in late-2007 does the industry concentration in Ohio start to fall. The reduced concentration incorporates the permanent closure of GM’s Moraine and Mansfield stamping plants, Ford’s closure of a Cleveland engine plant, FCA closing part of its Toledo complex for major retooling, and Honda’s constrained output due to floods in East Asia. This series explains Ohio’s slip from second to third and fourth ranks in national output in the most recent years (U.S. BEA, 2018a).

See Table A9

44 Value-Added in Ohio's Motor Vehicle Industry (NAICS 3361 & 3363) 1997-2016 $25.0 25.0%

$20.0 20.0%

$15.0 15.0% Billions

$10.0 10.0% Percent ofU.S.

$5.0 5.0%

$0.0 0.0% `97 `98 `99 `00 `01^ `02 `03 `04 `05 `06^ `07 `08 `09* `10* `11*^ `12 `13 `14 `15~ `16^ 3361: Assembly Value $10.8 $13.5 $13.3 $12.1 $10.4 $12.7 $9.6 $10.5 $10.8 $10.9 $9.9 $7.5 $3.3 $3.8 $4.5 $6.2 $5.0 $6.3 $5.8 $5.4 3363: Parts Value $11.3 $11.0 $11.7 $11.2 $9.4 $11.8 $12.3 $13.5 $12.4 $11.3 $10.6 $8.6 $7.0 $7.5 $7.1 $7.9 $8.6 $9.7 $10.0 $10.1 3361: Assembly Pct. of U.S. 14.8% 20.4% 17.2% 19.6% 19.2% 17.6% 12.3% 14.8% 16.0% 16.5% 13.6% 14.5% 8.0% 5.8% 8.1% 10.5% 7.7% 8.9% 7.6% 6.5% 3363: Parts Pct. of U.S. 15.3% 14.2% 13.7% 13.3% 12.6% 13.6% 14.6% 16.3% 15.2% 14.0% 14.4% 13.6% 13.1% 11.8% 11.4% 11.2% 11.5% 12.3% 12.1% 12.1%

Source: U.S. Census Bureau * - Less reliable data; ^ - Unrevised estimate; ~ - Assembly estimated 45 VALUE-ADDED BY OHIO’S MOTOR VEHICLE INDUSTRY

Value-added data provide additional insight with group level data unavailable with GDP summaries.14 The chart and data table above illustrate characteristics of, and changes in, Ohio’s transportation equipment industry (NAICS 3361-3):

• The industry in Ohio is overwhelmingly comprised motor vehicle assembly and parts operations (3361 and 3363, blue and red columns), each with multi-billions of value-added every year. These contrast with the bodies and trailers group (3362, see Appendix table A10), where value-added is almost always less than $1-billion.15 During the 20-year period shown, value-added by assembly plants contributed an average of 44.9 percent of industry output from Ohio, parts plants added 52.8 percent, and bodies and trailers plants chipped in 2.3 percent. Value-added by the parts group has been greater than that of the assembly group every year after 2002.

• Assembly and parts operations are directly dependent on one another, but they do not necessarily change in the same direction from one year to the next. This reflects the facts that parts made here are used in vehicles assembled here and elsewhere, and parts made outside of Ohio may be used by assembly plants here. Parts also are made for the replacement (i.e., repair) market as well as for new vehicles.

• The overall industry concentration in Ohio is due to the concentration of assembly and parts operations. From 1997 through 2016, the percentage of value-added by assembly operations in Ohio ranged from 5.8 to 20.4 percent of the national total (blue squares), averaging 13.0 percent; parts operations (red diamonds) ranged from 11.2 to 15.3 per- cent of the corresponding total and averaged 13.4 percent. The narrower range in value-added for parts is partially due to consumers’ tendencies to repair vehicles in hard times and postpone replacement.16 The portion of value- added by the bodies and trailers group in Ohio is only slightly greater than Ohio’s total portion of U.S. GDP and, excepting 2004-2006 production, has varied (again, see Appendix table A10).

• The steep plunge from 2006 to 2009 in value-added at assembly plants – nearly $7.6 billion, or 69.4 percent (no ad- justment for inflation) – reduced Ohio’s portion of the corresponding U.S. value-added to the single digits, where it has remained, except in 2012. This was due to several events in addition to the 2008-2009 recession’s impact: (1) the closure of GM’s Moraine plant, (2) Ford’s shifting Avon Lake’s product mix to medium-duty trucks and away from vans, (3) temporary constraints on Honda’s production due to East Asian floods reducing parts production, and (4) a major model change-over at FCA’s Toledo North requiring an extended shutdown.

See Tables A9 & A10

46 Light Vehicle Production in Ohio and the U.S., 1993-2018

9,000

V 8,000 e h i i 7,000 n c l t e 6,000 h s o u 5,000 P s r a o n 4,000 d d u s c 3,000 e d 2,000

1,000

0 `93 `95 `97 `99 `01 `03 `05 U.S. Lt.… `07 `09 U.S. Cars `11 Oh. Lt.… `13 `15 Oh. Cars `17

`93 `94 `95 `96 `97 `98 `99 `00 `01 `02 `03 `04 `05 `06 `07 `08 `09 `10 `11 `12 `13 `14 `15 `16 `17 `18* Oh. Cars 1,006 960 989 1,085 1,105 1,016 1,056 1,022 1,016 990 928 797 882 885 870 854 394 511 566 745 802 742 739 650 524 523 Oh. Lt. Trucks 796 813 907 855 893 840 918 842 723 848 957 944 912 785 878 630 389 592 596 627 654 825 854 791 653 634 U.S. Cars 5,982 6,601 6,340 6,083 5,934 5,554 5,638 5,542 4,879 5,019 4,510 4,230 4,321 4,367 3,924 3,777 2,331 2,934 3,149 4,326 4,566 4,304 3,864 3,920 3,254 2,943 U.S. Lt. Trucks 4,608 5,332 5,306 5,749 6,197 6,448 7,387 7,228 6,546 7,261 7,577 7,731 7,625 6,893 6,828 4,896 3,280 4,695 5,322 5,804 6,307 7,126 7,414 8,144 8,006 8,104

Sources: Automotive News & Ward's. * - Initial estimate, subject to revision 47 LIGHT VEHICLE PRODUCTION IN OHIO AND THE U.S.

Light vehicle production is the core of the motor vehicle industry, comprising the vast majority of all motor vehicles made. The chart above illustrates the ups and downs of production in Ohio and the U.S. from 1993 through 2018. These fluc- tuations reflect various influences, including economic expansion and contraction, the opening and closing of plants, and changes in companies’ product-mixes. In Ohio, the majority of production shifted from light trucks to cars during the mid- 1980s as Honda increased production in first Marysville and then in E. Liberty. Cars were the majority of light vehicles produced in Ohio from 1993 through 2002. 2003 was the first year since 1988 in which more light trucks than cars rolled off assembly lines in Ohio. Neither car nor light truck production has consistently dominated since then, although light truck production dropped with the closure of Ford’s Lorain plant in 2005 and GM’s Moraine plant in 2008. However, it rebounded in 2010 as Honda’s E. Liberty plant changed to emphasize sport-utility vehicles (SUVs). Car assemblies were again the majority in 2012 and 2013 after Honda recovered from the effects of floods in E. Asia, but light trucks have dom- nated since as Toledo North re-opened and cars fell further out of favor with consumers.

This differs from the national trend. Data in table A11, as well as the chart above, show production shifting from cars to light trucks. Car production still comprised 56.5 percent of U.S. light vehicle production in 1993. By 1997, car production was 48.9 percent of the same, and fell to 35.4 percent in 2004. It rose above 40 percent during the high-gas-price-and- recession years of 2008-2009, but dropped below that level in 2010.17 It rose again to 42.7 percent in 2012-2013, but fell below 40 percent after oil prices collapsed and was 26.6 percent in 2018. Several explanations have been offered for these shifts: (1) initially, higher profit margins and the lower corporate average economy (CAFE) requirements of the time led assemblers to emphasize light truck production (Gott, et.al., 1999); nevertheless (2) light truck sales (and hence production) drop when fuel prices rise and/or the economy falters (Levy, 2014: 4, 8, 13)18; more recently (3) using car plat- forms and adding car-like amenities and handling characteristics made light trucks – particularly vans and SUVs – sub- stitutes for large cars and station wagons (Levy, 2010: 9).

Despite the shifting emphasis between car and light truck production in Ohio, the percentage of U.S. car production from Ohio has been greater than the corresponding percentage of U.S. light truck production since 1996. While car production from Ohio fluctuated from less than 15 percent to more than 22 percent of the U.S. total, light truck production fell from 17.3 to 7.8 percent. Ohio usually ranked second in car production until 2018 when it became first. It usually ranked sec- ond or third in light truck production until the most recent closure of Toledo North (for yet another major model change- over). The combined numbers of cars and light trucks almost always make Ohio the second-ranked source for light vehicles – typically one seventh to one sixth of U.S. production – despite generally lower production numbers.

See Table A11

48 Capital Expenditures in Ohio's Motor Vehicle Industry (NAICS 3361 & 3363) 1997-2016

$3.00 30.0%

$2.50 25.0%

$2.00 20.0%

$1.50 15.0%

Billions Percent Percent ofU.S.

$1.00 10.0%

$0.50 5.0%

$0.00 0.0% `97 `98 `99 `00 `01^ `02 `03 `04 `05 `06^ `07 `08 `09* `10* `11*^ `12 `13 `14 `15 `16^ 3361: Assembly Expndtrs. $0.45 $0.36 $0.75 $0.84 $0.46 $0.32 $0.29 $0.42 $0.45 $0.57 $0.27 $0.14 $0.15 $0.19 $0.12 $0.88 $0.41 $1.28 $1.83 $1.58 3363: Parts Expndtrs. $1.89 $1.67 $1.32 $1.12 $1.10 $1.37 $0.93 $1.12 $0.80 $1.54 $1.03 $1.18 $0.69 $0.64 $0.76 $1.11 $1.49 $1.15 $0.95 $0.90 3361: Assembly Pct. of U.S. 8.4% 6.8% 15.6% 17.6% 10.4% 6.6% 5.5% 9.0% 10.6% 14.1% 7.1% 3.3% 4.5% 2.4% 1.9% 13.8% 4.5% 12.2% 18.3% 27.5% 3363: Parts Pct. of U.S. 19.9% 17.0% 14.0% 12.6% 13.1% 18.1% 12.6% 18.0% 11.9% 22.4% 15.5% 17.2% 15.2% 16.3% 13.6% 12.6% 14.5% 12.6% 11.2% 11.0%

Source: U.S. Census Bureau * - Less reliable data; ^ Unrevised estimate 49 CAPITAL EXPENDITURES FOR OHIO’S MOTOR VEHICLE INDUSTRY

The motor vehicle industry is a capital-intensive business, although this varies over time and across the specific industries comprising it (Lifschutz, 2018; Miles, 2018; Savaskan, 2018). The chart above shows how much companies have spent on land, buildings and equipment for production in Ohio, both in dollars (columns) and as a percentage of all such industry expenditures in the U.S. (squares and diamonds). It focuses on expenditures at assembly (NAICS 3361, blue) and parts plants (3363, red). Annual capital expenditures at parts plants ranged between $640 million and $1.88 billion. They aver- aged 14.9 percent of the U.S. total and varied from 11.0 to 22.4 percent. Expenditures at assembly plants ranged from $140 million to $1.83 billion, averaged 10.3 percent of the U.S. total, but ranged from 1.9 to 27.5 percent. Capital expen- ditures for body and trailer production (3362) also vary widely, but seldom exceeded $20 million a year and averaged 3.0 percent the U.S. total. Totals for the three groups ranged just under $843 million to almost $2.82 billion – 7.0 to 17.2 per- cent of U.S. totals, and averaged 12.6 percent (see Appendix table A12).

Levy (2004) offers an explanation of the up-and-down character of industry investment at the state level. Large capital expenditures are required for product development and launching new models. While companies do this all the time, in- dividual models usually are made at just one plant, with the consequence that capital expenditures at the state level may be highly variable over the course of the years, and a major changeover could require extensive changes costing billions (Levy, 2014: 31). This also may be true of engine, transmission and the larger stamping plants. Based on the chart above, this certainly appears true for Ohio.19

Most capital expenditures in Ohio are made for parts production – about $665 of every $1,000 spent over the last 20 years; $338 went into assembly operations, with the remaining $7 for bodies and trailers. These proportions varied widely from year to year. Miles (2018) and Savaskan (2018) explicitly note the automation of production processes; that pro- bably has been the major goal of capital expenditures with new locations a lesser goal.

Despite some notable exceptions, it is hard to argue that companies are abandoning their facilities in Ohio – at least in a relative sense. Short time periods make it difficult to distinguish fluctuations and volatility from genuine trends. Conse- quently, longer-term averages may be more useful. In this regard, the figures are close. On average, 12.6 percent of the industry’s value-added from 1997-2016 originated in Ohio; industry establishments in Ohio absorbed 12.6 percent of capi- tal expenditures and had 10.9 percent of comparable employment in 2016. These varied by group: the figures for as- sembly plants were 13.0 percent of value-added, 10.3 percent of capital expenditures and 10.5 percent of jobs; the cor- responding figures for parts plants were 13.4 percent, 14.9 percent, and 12.7 percent.

See Tables A5, A10 & A12

50 Establishments Trends in Ohio's Motor Vehicle Industry: 2006-2016

800 8.0% 7.6% 7.4% 7.4% 7.3% 7.2% 7.2% 7.2% 7.2% 7.2% 7.1% 7.0% 700 673 7.0% 658 29 647 28 28 616 24 600 101 579 6.0% 95 575 576 578 573 94 554 565 28 23 25 25 24 83 22 25 87 500 81 86 90 91 91 5.0% 80

400 4.0%

300 498 3.0% 490 480

466 Number of Establishments of Number 429

417 424 430 435 430 424 Ohio Total as Percent of U.S. of asTotal Percent OhioTotal 200 2.0%

100 1.0%

45 45 45 43 37 32 33 33 31 33 34 0 0.0% 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Related Industries 3363: Parts Source: U.S. Census Bureau 3362: Bodies & Trailers 3361: Assembly 51 ESTABLISHMENTS

Further evidence that the motor vehicle industry has not abandoned production in Ohio is seen in above chart showing the number of establishments by industry group – and the industry total – from 2006 to 2016. Although the total number of industry establishments in 2016 is less than the pre-recession peak – 573 vs. 673 – it appears to rise and fall with the in- dustry expansions and contractions: from 658 (2006) to 673 (2007) to 554 (2011, lagging the start of recovery by nearly two years) to 573 (2016). Changes in total numbers principally reflect changes in the parts group (NAICS 3363) – from 490 to 498 to 417 to 424. Changes of lesser magnitude were seen in the other groups. The bodies and trailers group (3362) showed a pattern of change similar to the fall and rise of the parts group. However, the numbers of assembly (3361) and related industries (32621 and 335911) plants fell and remained near lower levels. What may be of greater importance, though, are the numbers of plants employing at least 500. County Business Patterns data show the number of such parts plants fell from 42 to 35; the number of bodies and trailers plants declined from 2 to 1, the one battery plant fell below 500, and the number of assembly plants was unchanged at nine (U.S. Bureau of the Census, 2008b, 2018b).

Detailed figures in Appendix table A13 show net decreases in all specific parts industries. The largest percentage decline was in electrical and electronic equipment (33632 – 38.5 percent) while the smallest was gasoline engines and engine parts (33631 – 5.6 percent). Net decreases also were seen in most other specific industries. The only exceptions were the addition of a few truck trailer plants (336212) and no net change in the number of medium- and heavy-duty truck assembly plants (33612) and new tire manufacturing plants (326211).

There are number of possible explanations for these changes. Analysts such as Levy (2014), Miles (2018) and Savaskan (2018) have noted the consolidation of parts manufacturers as well as the desires of assemblers to deal with fewer sup- pliers, either of which could result in plant closures or repurposing for another industry. Some suppliers could have gone out of business with the recession while others opened new plants. It also is possible that some suppliers were reclassi- fied one or more times during this time. In good years for the motor vehicle industry, a supply plant may be classified as part of the industry because that is where it makes the plurality of its revenue. In bad years for the motor vehicle indus- try, the same plant may be classified outside of the industry because the plurality of its revenue is made outside of the industry.

Despite the number of industry establishment varying between 554 and 673 (the latter is 121.5 percent of the former), Ohio’s portion of the national total varied between 7.0 and 7.6 percent – again consistent with the idea that what has happened in Ohio is more or less part of what happened in the national industry. See Table A13

52 Selected Trends in Ohio's Motor Vehicle Industry, 1998-2016 Output, Workers and Productivity (NAICS 3361-3) 180.0 $180,000

167.2 160.0 163.7 164.6 $160,000 $146,626 $146,355 $145,474 151.0 $140,138 140.0 $135,162 $140,000 142.8 134.6 $131,003 136.6 $127,491 $126,441 $124,299 133.2 $120,065 127.6 $116,764 120.0 $120,000

$104,357 114.4 $99,611 $97,013 100.0 104.3 105.7 $100,000 101.8 100.5 $87,067 $85,211 93.5 $81,256 $79,768 88.3 80.0 $80,000

82.6

GDP per Workerper GDP & GDP (indexed) GDP & Workers (1,000s) Workers 78.8 76.9 131.2 60.0 117.4 119.2 116.8 $53,225 $60,000

100.0 99.8 100.0 95.3 98.4 98.8 90.6 92.5 89.0 84.5 83.4 85.9 40.0 78.3 $40,000

53.7 20.0 $20,000 28.7

0.0 $0 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016*

Standardized GDP, Indexed on 1998 Workers (1,000s) GDP per Worker

Source: U.S. Bureau of Economic Analysis ^ - Employment and GDP/Employee estimated; * - Initial GDP, earlier years revised 53 OUTPUT, JOBS, AND PRODUCTIVITY

The chart above traces changes in two aspects of Ohio’s motor vehicle industry (NAICS 3361-3): output (gold columns, with industry Gross Domestic Product set to 100 in 1998) and jobs (brown columns). Productivity (black dots), the third data series shown above, is measured by inflation-adjusted GDP per industry job.20 Changes are seen across this time in five segments:

• From 1998 through 2000, output fluctuated between 100.0 and 95.3, and the number of jobs ranged from 163,700 to 167,200; therefore, productivity ranged between $81,250 and $87,100 per job. (See Appendix table A14 for the ag- gregate industry GDP figures.) With output falling more than the number of jobs during the 2001 recession, produc- tivity fell to less than $79,800. • Output returned to pre-recession levels in 2002 and 2003 and continued growing through 2006, the last indexed at 131.2, or 31.2 percent higher than in 1998. This was the peak before the 2008-2009 recession. During this same time, though, the number of jobs continued declining to 127,600. Consequently, productivity soared to more than $146,600. • Output receded, and the number of jobs fell a bit in 2007 as the industry started sliding into recession, but productivity remained high – above $145,400 for the year. However, output by 2009 had plunged 78.1 percent from 2006, with jobs falling 39.7 percent. Consequently, productivity fell to less than $53,300. • Output turned around in 2010 and continued increasing through 2014, rising 244 percent from 2009 to nearly the 1998 level. Jobs rose only 30.7 percent during the same time, which meant productivity reached to the pre-recession peaks above $140,000. • Output declined after 2014 – perhaps due to slowing production and the eventual temporary shut-down for a major model changeover at FCA’s Toledo complex. Nevertheless, jobs statewide increased with the consequence that industry productivity fell to $120,000-plus in 2016.

One way to characterize the net change from 1998 to 2014 would be to say 98.8 percent of 1998’s output was achieved with only 61.4 percent of 1998’s jobs, which could only be obtained with a 61.0 percent increase in productivity. Data in Appendix table A14 document a similar transition to greater productivity across the nation. U.S. industry GDP per job rose from $77,200-plus in 1998 to $136,500-plus in 2007 as output increased and jobs decreased. Productivity plummet- ed to less than $71,500 in 2009 as output fell even faster than jobs. Beginning in 2010, productivity quickly soared above $170,000 as output rose faster than jobs. Nationwide, the net 1998-2014 change was a 54.0 percent increase in output while the jobs numbers fell 31.3 percent; such changes could only co-exist if productivity increased 124.2 percent. U.S. productivity fell in 2015 and 2016 as output was little changed but jobs continued to grow. In Ohio and across the nation, the long-term net rise in productivity may principally have been due to capital expenditures increasing automation. Higher productivity may also have been facilitated by other factors such as organizing work more efficiently.

54 It should also be noted that at least most productivity increases in Ohio and for the nation as a whole occurred before the 2008-2009 recession. Output increased, interrupted only by the relatively short and mild recession of 2001, while jobs decreased almost continuously after the turn of the century – until the 2008-2009 recession wiped out those gains. Re- covery in Ohio and for the nation as a whole first saw rapid increases in output accompanied by much more gradual job growth. This is understandable, as employers add hours for existing employees before adding new employees to reduce overtime and associated expenses; there are limits to how long people can work.

See Table A14

55

U.S. INDUSTRY ANALYSIS AND OUTLOOK

56 U.S. Market Share Sales Trends in Light Vehicles by Brand & Import Status: 1998 - 2018 100%

90%

80%

70%

60%

50%

Percentage of Sales 40%

30%

20%

10%

0% 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008* 2009* 2010* 2011* 2012* 2013* 2014* 2015* 2016* 2017*^ 2018*^ U.S.B.T. 39.8% 38.9% 38.7% 39.2% 39.7% 40.2% 40.1% 38.7% 35.1% 34.2% 29.2% 27.3% 29.1% 30.9% 29.0% 29.6% 31.0% 32.6% 34.0% 35.1% 36.9% U.S.B.C. 30.6% 30.0% 28.1% 25.3% 23.3% 21.5% 20.0% 19.5% 19.8% 18.0% 19.2% 17.5% 16.3% 16.2% 15.8% 15.6% 14.3% 12.7% 11.0% 9.2% 8.2% J.B.D.T. 3.3% 4.2% 5.2% 5.7% 5.7% 6.8% 8.2% 9.1% 9.2% 9.2% 8.9% 9.1% 10.2% 9.6% 10.2% 11.0% 11.6% 13.0% 13.9% 14.3% 14.8% J.B.D.C. 12.2% 11.1% 11.1% 11.4% 11.5% 11.7% 12.4% 12.9% 12.8% 14.0% 15.5% 17.3% 16.3% 14.0% 15.6% 15.3% 15.8% 14.3% 13.8% 13.0% 11.4% J.B.I.T. 3.9% 4.1% 4.3% 4.6% 4.9% 5.4% 4.9% 4.6% 5.7% 6.1% 5.6% 4.9% 4.4% 4.5% 4.3% 4.7% 4.5% 5.5% 6.4% 8.0% 8.9% J.B.I.C. 4.5% 4.6% 5.1% 5.1% 5.7% 5.1% 5.1% 5.7% 7.3% 7.7% 9.5% 8.9% 7.7% 6.7% 6.8% 6.2% 5.5% 4.7% 4.0% 3.6% 3.1% Others 5.7% 7.1% 7.6% 8.8% 9.3% 9.3% 9.3% 9.4% 10.1% 10.7% 12.1% 14.8% 16.0% 18.0% 18.3% 17.7% 17.3% 17.1% 17.1% 16.7% 16.7%

Sources: Automotive News, Ward's. Note: * - Automotive News data, not entirely comparable with Wards; ^ - initial, subject to revision. Abbreviations used: B - Brand; C - Car; D - Domestic; I - Import; J - Japanese; T - Light Truck; U.S. - United States; Chrysler is treated as U.S.B. for the sake of continuity even though Fiat gained control of it in July, 2011.

57 MARKET SHARE TRENDS

Market share trends are important because sooner or later “capacity follows market share” (Harbour Consulting, 2006: 11; capacity refers to companies’ plants, shifts and workers). This section focuses on assemblers. Beginning in the early , the U.S. light vehicle market was transformed from a stable oligopoly, dominated by the Detroit Three (GM, Ford and what is now FCA’s Chrysler Group) since the 1950s, into the most competitive market in the world. Foreign-based assemblers – those from Japan were first and have been the most successful – captured significant shares of the U.S. market by offering higher quality products better matching consumer demand. Competition compelled the Detroit Three to address both quality and organizational problems in the . They (and their suppliers) restructured their organizations and networks and re-engineered their vehicles (and parts), improving design and quality while reducing costs. Design and quality issues became much less distinguishing (Levy, 2014: 25).21

The chart above illustrates several market share trends in U.S. light vehicle sales from 1998 through 2018. After a rela- tively stable period in the early and mid-1990s, the combined share of the Detroit Three’s U.S. brand cars and light trucks (USBC and USBT, blue) fell below 70 percent of all sales in 1999, and continued to fall each year through 2009, when it was 44.9 percent. It rose to 47.1 percent in 2011, but has since ranged between 44 and 46 percent. The net loss of market share for U.S. is the combination of two trends: (1) sales of USBC fell from 33.4 to 8.2 percent, and (2) USBTs sales ranged between 38 and 41 percent from 1997 through 2005, fell to 27.3 percent in 2009 due to high gaso- line prices and the recession, and rebounded to 36.9 percent in 2018 with economic recovery and generally lower gaso- line prices.22 The Detroit Three reduced their capacity because of their long-term slide in market share. This was felt in Ohio first with Ford’s closure of its Lorain plant in 2005 after a co-production agreement with Nissan ended, second with the closure of GM’s Moraine assembly plant during the last recession, and will be felt with the upcoming end of production at GM’s Lordstown plant. (Ford and GM also closed three parts plants during the last recession.)

Most of the Detroit Three’s lost market share was gained by Japanese brands (JBs, red), which collectively rose from 23.9 percent in 1998 to peak at 40.3 percent in 2009, a 16.7 percent gain. This incorporated gains by Japanese brand imports and domestic production (JBI and JBD), rising 5.5 and 11.0 percent, respectively. JB market share fell to 34.9 percent in 2011 due to East Asian floods constraining parts production and assemblies here and abroad (Levy, 2014: 20-21). JB market share has gradually risen since, but remains below the 2009 peak. All Others (Europeans plus the S. Korean Hyundai-Kia group, light gray) saw their collective share rise from 4.7 to 18.3 percent in 2012 before slipping to 16.7 per- cent in 2017 and 2018, a net gain of 12.0 percent. This net gain mostly reflects gains by Hyundai-Kia, whose share was 7.3 percent in 2018. It also means 11 European companies had a collective market share of about 9.4 percent. American Tesla (a recent addition, but not part of the Detroit Three) had about a 1.0 percent share in 2018.

58 2018 U.S. Sales and Production of Light Vehicles by Company 18,000,000 17,334,481 Totals

1,807,810 16,000,000

1,098,534 Europeans~ & Tesla

14,000,000 1,267,618 Other Japanese^

Hyundai-Kia 1,493,877 12,000,000 11,046,913

1,604,828 Nissan 1,053,479 10,000,000 359,399 Honda 574,159 2,195,883 835,319 8,000,000

LightVehicles FCA: Chrysler Group* 1,261,922

2,426,672 Toyota 1,263,511 6,000,000

1,241,615

4,000,000 2,485,222 Ford 2,329,760

2,000,000 2,954,037 General Motors 2,127,749

0 U.S. Sales U.S. Production Source:Automotive News * - FCA's Fiat Group with Europeans; ^ - 3 sellers, 1 producer; ~ - 11 sellers, 3 producers 59 The chart on page 59 also illustrates the shift to U.S. production by Japan-based companies (JBD, solid red and red-with- white-dots), which saw a net gain from 15.5 to 26.3 percent of U.S. sales. This particularly reflects the growing role of JBDT production in the U.S. market, which rose from 3.3 to 14.8 percent of sales, in contrast to JBDC, which rose from 12.2 to 17.3 percent before declining to 11.4 percent (again, part of shift from cars to light trucks since 2009). Shifting production from Japan to the U.S. achieved the goals of (1) circumventing the import quotas seen in the 1980s, (2) insu- lating sales from the effects of changing currency values, and (3) facilitating adaptation to local tastes. Hyundai-Kia also has followed the Japanese strategy and derives most of its U.S. sales from domestically produced vehicles. This differs from the European-based companies, which are mostly reliant on imports.

The left column in the chart above illustrates current light vehicle market shares, mostly by company. GM tops the list, followed by Ford, Toyota and FCA’s Chrysler Group – all with sales between 2- and 3-million in 2018. Honda, Nissan and Hyundai-Kia each had sales ranging between 1.26 and 1.61 million. These seven companies held 83.2 percent of the market, individually ranging from 17.0 to 7.3 percent (GM to Hyundai-Kia). Three other Japanese companies combined for nearly 1.10 million, or 6.3 percent of the market. The remaining companies – 11 European brands and Tesla – sold about 1.81 million for a 10.4 percent share. The Detroit Three (blue) held the plurality of sales at 44.0 percent, while the three largest Japanese brands (red) had 31.9 percent (Automotive News, 2019).23

The right column in the chart above shows 2018 U.S. production by the same seven companies as well as summaries for other assemblers. The seven accounted for 87.2 percent of the U.S. light vehicle production. Individual shares ranged from 21.1 to 5.2 percent (Ford to Hyundai-Kia). The Detroit Three combined for 51.8 percent, while the three largest Japanese-based assemblers produced 30.2 percent. Outside of Hyundai-Kia, the remaining five assemblers (European, Japanese and Tesla) combined for 12.8 percent (Automotive News, 2019).24

The fact that company sales numbers are greater than corresponding production numbers for all high-volume assemblers means not one meets its U.S. demand solely with vehicles assembled in the U.S.; all must import vehicles (their assembly plants in Japan, S. Korea and NAFTA partners Canada and Mexico are the most likely sources).25 This production deficit is more pronounced than the numbers suggest because U.S. exports have not been subtracted.

The U.S. heavy-duty truck market is a different story for two reasons: (1) few heavy-duty trucks are manufactured outside of N. America because distances travelled are shorter and few could accommodate them, and (2) the few foreign- based assemblers in the U.S. market have preferred buying U.S.-based assets rather than establishing their own manu- facturing facilities.26 However, some foreign medium-duty truck makers have made some inroads into the U.S. market with their exports (Corridore, 2014: 17). See Tables A15a & A15b

60 Motor Vehicle Imports, Exports and the Value of the Dollar, 1997-2017

140.0% 140.00

120.0% 120.00

100.0% 100.00

80.0% 80.00

60.0% 60.00 Index Value of the Dollar of the Value Index

Export Values as Percentages of Import Values Import of Percentages as Values Export 40.0% 40.00

20.0% 20.00

0.0% 0.00 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Industry Total 52.5% 48.7% 42.2% 41.2% 40.0% 38.9% 38.5% 39.2% 41.2% 41.9% 46.9% 52.1% 51.3% 49.6% 52.1% 49.0% 49.3% 48.5% 43.4% 42.8% 43.8% Motor Vehicles 30.7% 27.5% 21.7% 20.4% 20.1% 21.6% 24.1% 25.5% 30.1% 30.7% 38.6% 46.1% 42.9% 41.9% 46.7% 43.2% 43.1% 43.3% 36.0% 34.8% 34.3% Parts & Accessories 89.5% 85.0% 81.2% 81.3% 80.1% 72.3% 64.7% 62.8% 58.9% 60.7% 59.8% 61.4% 63.3% 60.5% 59.0% 56.6% 57.8% 55.3% 53.5% 53.9% 57.6% Dollar 's Indexed Value 104.44 116.48 116.87 119.45 125.91 126.66 119.09 113.59 110.81 108.52 103.40 99.90 105.69 101.82 97.15 99.82 100.98 104.03 117.06 122.48 122.13

Sources: U.S. Bureau of Economic Analysis, Federal Reserve Board 61 TRADE BALANCES

The broadest measure of motor vehicle industry trade includes new and used vehicles as well as parts and accessories, and the common base for comparison is their dollar values. The chart above illustrates changes in the U.S. balance of trade by calculating export values as a percent of import values, removing any effects of inflation. The fact that all the export-to-import ratios – Motor Vehicles (blue squares), Parts and Accessories (red diamonds) and the Industry Total combination of the two (purple circles) – are less than 100 percent (see the left vertical axis) indicates a U.S. trade deficit for each part and the industry-as-a-whole during the 1997-2017 period. Unlike the preceding Market Share Trends sec- tion (which considers only new vehicles), goods shipped to and from Canada and Mexico count as exports and imports.

A frequently-cited explanation for the changes in the ratios is the changing value of the dollar (green rectangles and in- dexed on the right vertical axis).27 A lower value of the dollar makes American-made goods relatively less expensive for foreigners to buy and foreign-made goods more expensive for people and companies in the U.S. Higher values have the opposite effects. As the value of the dollar rose from 1997 through 2002, U.S. motor vehicles became more expensive, and the Motor Vehicles export-to-import ratio fell; as the value of the dollar fell from 2002 through 2008, U.S. motor ve- hicles became more affordable and the Motor Vehicle exports-to-imports ratio rose. The slightly elevated dollar values in 2009-2010 and the jump after 2015 were accompanied by proportional drops in the Motor Vehicles exports-to-imports ratio. The Index Value of the Dollar works well in explaining variations of the Motor Vehicle exports-to-imports ratio be- cause cars – the largest portion of motor vehicle trade – come from and are sent to a variety of countries (based on dollar figures drawn from Savaskan, 2018). (Savaskan’s figures also suggest the motor vehicle trade deficit is largely due to the deficit in vehicles imported from Mexico as well as cars imported from Canada, Germany and Japan; it is partially offset by a surplus in trucks exported to Canada.) The similar relationship between the Index Value and the Total ratio largely re- flects the Index Value-Motor Vehicle ratio relationship because the value of motor vehicles is most of the Total, as mea- sured by dollars.

On the other hand, changes in the Parts and Accessories ratio appear to have a little relationship with the changing value of the dollar; this ratio generally has not moved like the Motor Vehicles ratio. This means the changing value of the dollar is a limited explanation of fluctuating trade levels, despite invocation by many analysts (e.g., Levy, 2014; Lifschutz, 2018; Miles, 2018; Savaskan, 2018). Possible explanations for this divergence must include other factors. An estimated 58 per- cent of U.S. parts trade is with NAFTA partners Canada and Mexico (drawn from Miles, 2018; Savaskan, 2018), and part of that consists of intra-company shipments, particularly engines and transmissions. Specific engines and transmissions may be used in several vehicle models regardless of where they are assembled, implying imports and exports are re- quired regardless of changing currency exchange rates.28 Similarly, foreign-based assemblers operating in the U.S. must import parts regardless of currency exchange rates, relying on the greater value-added at assembly plants to compensate

62 for any higher costs until either they establish relationships with local suppliers or suppliers from the home country set up U.S. operations. (Levy, 2014: 9, has similar sentiments). Such corporate ties and requirements may be why the U.S. has an overall trade deficit in engines and many other parts but has a trade surplus in engines with Canada. (Many of those engines and parts return to the U.S. in new cars, giving Canada a surplus in that regard (U.S. BEA, 2018b). U.S.-based companies shifted the assembly of some larger (and more expensive) cars to Canada to meet Corporate Average Fuel Economy (CAFE) requirements for vehicles assembled in the U.S., an unintended consequence of policy implementation (Adams, 1998).) Furthermore, Miles (2018) notes U.S. innovations have created a strong demand for engines (also true for transmissions (Savaskan, 2018)), that a high degree of technical skill is required to build engines, and “High fixed costs associated with building [and operating engine plants in the U.S. and Canada] make it difficult for producers to quickly shift production [between countries] based on currency trends.” Engines are just one example of the close ties assemblers and tier-1 suppliers and the dedicated use of many parts to specific models.29 The relationship between the value of the dollar and the export-import ratio is even more muddled because parts and their tier-2 and -3 components may cross the border more than once before a vehicle is completed (Althaus and Rodgers, 2016).

A comprehensive look at the impact of currency fluctuations on trade would focus on specific currencies instead of the generalized Index Value. For example, an under-valued yuan, among other factors, contributed to the rapid growth of tire imports from China prior to 2015 (Levy, 2014: 8). The U.S. International Trade Administration imposed anti-dumping duties in 2015 that have since reduced Chinese tire imports, but producers in other Asian nations are filling the void (Lifschutz, 2018). (Overall, China remains a minor-but-growing source of motor vehicle parts and a minor-but-growing market for exports of parts and vehicles (Miles, 2018; Savaskan, 2018).) It should be noted that U.S.-based companies have taken advantage of currency fluctuations too; the devaluation of Asian currencies aided them by making natural rubber, their principal raw material, less expensive (Prat, 1998); one even increased production at its Asian plants be- cause the devaluation of the local currency made its own products inexpensive imports.

This last example is part of a broader change, which helps explain why the U.S. has a persistent trade deficit despite fluc- tuating currency values: the shift of parts production to lower wage countries as part of a cost reduction strategy. This is particularly true of lower value-added or commodity parts as well as less-skilled or more labor-intensive production. It is facilitated by the lower shipping costs of many smaller parts as well as reduced trade barriers and propinquity (Miles, 2018; Savaskan, 2018).30 From the perspective of companies, this is rational move in a highly competitive industry. (It also establishes them in emerging markets, and lower shipping costs and propinquity also facilitate U.S. exports.) Con- versely, U.S. production and exports have shifted to higher value-added parts, goods requiring close collaboration with assemblers’ designers and engineers, more complex interconnected systems, and/or goods that some foreign countries lack the technological infrastructure to produce. The remaining U.S. commodity production is distinguished by higher quality and benefits from growing global demand (again drawn from Miles, 2018; Savaskan, 2018). Tire makers also have

63 shifted their commodity tires to low-cost countries while emphasizing higher-margin premium tire production here (Levy, 2014: 8; Lifschutz, 2018).

State level trade statistics provide additional insight about the industry in Ohio. While the U.S. runs a trade deficit in motor vehicles, the value of motor vehicles exported from Ohio is greater than the value of motor vehicles imported into Ohio (Office of Research, ODSA, 2018c, 2018d) – probably because assembly operations are concentrated here. On the other hand (and like the U.S.), more parts and accessories are imported into Ohio than are exported from it. Summary figures for these two classes of goods and smaller, additional classes aggregate to an industry-wide surplus. Canada and Mexi- co are the number one and two export markets for Ohio. The rankings are reversed for imports. Both countries combined account for the majority of industry trade (Office of Research, ODSA, 2018c, 2018d).31

See Table A16

64 INDUSTRY OPERATIONS AND RECENT TRENDS

Companies making light vehicles (NAICS 33611) and companies assembling medium- and heavy-duty trucks (33612) have a number of characteristics in common despite serving different markets. (The former serve mostly families and individuals, the latter supply capital goods to organizations and individual operators.) Both produce some of their vehicle components as well as purchasing other parts from independent suppliers. The modules and parts – mostly comprised of metals, plastics, rubber or glass – are shipped to plants where workers assemble them into vehicles. Both engage in the more-profitable-but-riskier activities of leasing and financing.32 Medium- and heavy-duty truck makers also offer logistical, maintenance and repair services (Levy, 2014; Corridore, 2014: 11).

Price competition in both industries is intense and continuous regardless of how well the economy is doing, but for differ- ent reasons. Light vehicle companies are competing in a market that has not been an oligopoly for decades, which limits their pricing power (Levy, 2010: 22). On the other hand, heavy-duty truck buyers have the size, financial-soundness and knowledge of market choices to counter-balance the oligopoly of Daimler, Navistar, Paccar and Volvo (Corridore, 2014: 17; Savaskan, 2018). (Ford and GM have smaller shares.) Companies in both industries have used rebates and dis- counts as a competitive strategy more or less frequently.33 In the same vein, sales in both industries also are affected by the availability of credit and costs of ownership (Corridore, 2014: 7-8; Levy, 2014: 26); sales of medium- and heavy-duty trucks also will spike higher ahead of new government regulations aimed at reducing if buyers believe the new vehicles will be more expensive to own and/or operate, and, given such behavior, sales will drop in the year following im- plementation (Corridore, 2014: 7-8; Savaskan, 2018). As mentioned before, engineering, safety and quality improve- ments as well as changes in style affect light vehicle sales (Levy, 2014: 26).

Both industries are cyclical, but for different reasons. Purchasing a new light vehicle usually is the second largest ex- penditure a person or family makes, and people need to feel confident that they can afford it. As previously noted, new light vehicle sales take-off when the economy is expanding and people feel secure in their employment prospects, but can plunge when the economy contracts, jobs are scarce and people are less secure (Levy, 2014: 26). Medium- and heavy- duty trucks are capital goods, and as such, purchases may lag the economy; fleet operators order new trucks only after considering their financial strength and the outlook for their services. Purchases are made to add capacity as well as to replace aging equipment. During times of economic weakness, orders fall, or may be cancelled or deferred. Owners may choose to repair trucks, and fleet operators have even cannibalized idle trucks for spare parts (Corridore, 2014: 18).34 Purchases of school buses, fire engines and other emergency service vehicles by governmental agencies are a small but stable segment of this industry (Savaskan, 2018).

In other ways, the two industries differ. Light vehicle assemblers almost always use their own engines, transmissions and

65 large size stampings (NAICS 33631,5,7) and are at least somewhat more likely to purchase other parts – tires, electrical and electronic equipment, steering and suspension components, brakes, seating, small size stampings, air-conditioning, etc. (32621, 33632-4,6-9) – from independent suppliers (Miles, 2018; Savaskan, 2018). Nevertheless, vehicle options are limited. This contrasts with medium- and heavy-duty trucks, which usually are customized to suit buyers’ needs. While assemblers offer their own engines and transmissions, buyers may select those and other parts from independent com- panies based on considerations such as distance per trip, geography, and type. Because trucks are so customized, assemblers concentrate on the design of platforms and rely on suppliers to design the various mechanical and electrical systems that they assemble into a complete vehicle. This lets assemblers maintain the lowest possible fixed-cost base and maximizes flexibility for customers. Basic vehicle redesigns may not be made for 10 years. New designs result from breakthroughs such as improved aero-dynamics or weight reductions. Suppliers may make interim improvements – - bly in engines, transmissions and axles, and they work with assemblers to meet safety and emissions regulations (Corri- dore, 2014: 17).35

By contrast, light vehicle makers have sought to shorten model life times to five years. They can move from sketch to prototype in less than a year and, if well-received in test marketing and cost-effective to make, to actual production in about two more years. (Prototypes failing either of those criteria are terminated.) The accelerated pace may be due in part to changing consumer tastes and regulatory requirements, but the practice also keeps a company’s line-up fresh. The shorter time required to bring a new model to production is facilitated by product designers and engineers collaborat- ing to minimize redesign work in later development stages (Levy, 2010: 20; 2014: 23); subsequent work with industrial process designers minimizes assembly time (Harbour Consulting, 2004).

The industrial process has changed over the years as companies responded to competitive pressures – either from im- ports or from rivals setting up operations in national markets around the world. Companies had to improve quality and cut costs wherever possible. (Better quality means, among other things, that products last longer, and that less time is need- ed for routine maintenance.) Organizational and technical changes have been made to reach these goals. The assembly process has been simplified in multiple ways: vehicles today contain fewer parts than in the past, and fewer parts mean lower production costs as well as less chance of assembly errors; the number of stampings required for parts such as hoods, trunks, fenders and doors has been reduced (Levy, 2014: 23; also see Corridore, 2014: 12); more recent- ly, assembly plants faced with high demand for a model changed from a two-shift-assembly-third-shift-resupply schedule to a three-shift-24-hour operation with each shift independently resupplied (Savaskan, 2018).

Perhaps the most far-reaching organizational change has been the shift of some work from assemblers to tier-1 suppliers. Two examples illustrate these changes. In the past, were made at the assembly plant from the inventory of com- ponents. Now, assemblers order seats from an off-site facility, and have them delivered just-in-time for installation. (Sup-

66 pliers delivering goods in reusable containers reduce waste and pollution costs.) Meeting these demands is easier if sup- pliers locate close to their customers, as orders are placed daily or for specific amounts (Levy, 2014: 23). Similarly, the pistons, cylinder liners, connecting rods, and related bearings were made by different companies at different locations and shipped to a plant for assembly. Now, a single company has combined the operations, delivering a tested, more reliable system at less cost than before (Gaines, 1999; Levy, 1999).

These examples represent more than shifting subassembly work off the site of final assembly. They are part of a broader reorganization of the supplier base and its relationship with assemblers. Suppliers now work with assemblers in design- ing, developing, and engineering components.36 They frequently assemble the components into modules, and do quality control testing. There are advantages and risks for both with this approach. Pooling organizational resources facilitated and shortened R&D cycles as well as actual production. Shifting these activities to suppliers reduces some investment risks and costs for assemblers while drawing both closer. Under these circumstances, contracts are no longer done an- nually, but for the life of the model. The contracts stipulate supplier targets for quality, costs and timeliness. In turn, as- semblers agree to share profits and savings with suppliers. Tier-1 suppliers are left to decide how to meet the goals, and they can choose their own tier-2 and tier-3 suppliers (Levy, 2014: 23, 27; Savaskan, 2018). The risks are (1) failure to meet expectations will cost a supplier a lot of business, which could lead to its demise, and (2) suppliers may be subject warranty claims when parts fail, and product liability claims if the failure resulted in bodily injury or property damage. An example of the first was Chrysler’s termination of a deal with Collins & Aikman over price and quality concerns regarding a bumper for its Ohio-made (Levy, 2004).

Another far-reaching consequence of suppliers assuming subassembly work has been the standardization of final assem- bly procedures for different model vehicles. In other words, when the same modules are used in different models, it is easier if those modules are assembled in the same order regardless of what model is being assembled. Given the tight schedules and close coordination between assemblers and tier-1 and tier-2 suppliers that just-in-time manufacturing re- quires, standardizing the process saves money (Harbour Consulting, 2004). Conversely, the commonality of parts and the standardization of assembly processes enable companies to assemble more models on one line. A key for an as- sembler’s efficient operation, then, is rapidly and inexpensively making the necessary changes for different models. (An example might be re-programming instead of swapping one type for another.)

Harbour Consulting (2004) believes that this results in the more efficient use of facilities. For example, greater demand for one model produced by one plant and little demand for another made at a second plant could lead to overtime at the former and underutilization of labor and equipment at the latter. If the second plant could quickly and easily switch be- tween production setups for the two models, then overtime could be reduced at the first plant and the second plant’s fa- cilities would be better utilized. (This also means it is easier to fill niche markets (Durbin, 2006)). This can only happen if

67 there is a just-in-time supply system, sufficient commonalities between the two vehicles’ components, the assembly se- quences are standardized, and the same equipment can be used for either model with little or no change. The recent additions of MDX production in E. Liberty and CR-V production in Marysville may be examples of this practice.

While relationships among assemblers and suppliers may be closer and more extensive, they are not cozy.37 Assemblers want lower prices from tier-1 suppliers regardless of their own demand levels (and the subsequent impact on per-unit costs of suppliers) and any increased costs faced by suppliers (Levy, 2012: 20).38 Furthermore, it is less costly and more efficient for assemblers to deal fewer suppliers.39 Indeed, the number of supplier companies has trended lower as com- panies merge or leave the business (Miles, 2018; Savaskan, 2018). Mergers, acquisitions and joint ventures among and by suppliers are done for several reasons: larger size enables the new company to offer more products and/or integrate components into a module, thereby spreading overhead costs and reducing per unit costs; and the new company also is better able to follow and service its clients around the world, making it more valuable to clients and more likely to get con- tracts. Foreign investment in Ohio and the joint ventures with U.S.- based companies are local examples of these stra- tegies and trends. Tier-1 suppliers, in turn, try to reduce the number of their suppliers in order to reduce their own costs and improve efficiency (Levy, 2004; 2014: 14).

Yet, with more invested in suppliers, assemblers and even tier-1 companies have been known to aid their crucial suppliers with staff or loans to avoid costly delays in production.40 The Great Recession’s impact on suppliers was not as bad it could have been precisely for those reasons (Levy, 2012: 25) despite the plant closures, visits to bankruptcy courts, and/ or sales of unprofitable divisions. Ironically, some of the remaining suppliers were in better bargaining positions vis-a-vis assemblers because there were fewer of them producing fewer products, and they were stretched to the limit despite lots of overtime, the addition of third shifts, and/or increasing capacity to meet demands (Levy, 2014: 14; Sedgwick, 2012b).

Despite closer ties with assemblers, suppliers have found more clients both inside and outside the industry as they have sought stability in the wake of the Great Recession (see McCafferty, 2018). Within the industry, U.S.-based suppliers now make parts for foreign-based assemblers operating here, and foreign-based suppliers with operations here make parts for the Detroit Three (based on ELM Analytics database). These changes represent a weakening of the keiretsu ties that had been advantageous for Japanese-based assemblers in the past.

Just as assemblers and their suppliers have increased their collaboration, assemblers have pooled talent and resources in mutually beneficial efforts. Past and current examples include GM-Toyota in NUMMI (now defunct), GM-Honda (en- gines and autonomous vehicles, Greimel and Wayland, 2018), the Daimler-Chrysler-Mitsubishi alliance (engines), Re- nault-Nissan, Toyota-Subaru and Toyota-Mazda (shared production facilities and market access), and potentially Ford- (electric and autonomous vehicles, shared production facilities, Bloomberg and Automotive News staff, 2018; Wire Reports, 2018). 68 TECHNOLOGIES FOR PRODUCTION PROCESSES AND VEHICLES

Innovative technologies have been, and continue to be, important in creating new parts, modules and vehicles as well as improving productivity at the plant. Computer-aided design (CAD) software and equipment, which dramatically reduced the time and people required to design parts and model a proposed new vehicle, was established years ago (Levy, 2010: 20). More recently, it has been used in 3D printing, a process that adds material layer by layer at various areas within a spatial frame to create almost any shape in a matter of minutes, further reducing the time, cost and tools required by the industry to create prototypes (Levy, 2014: 25). This is just one example of broader computer use in production processes, including continuing automation to improve productivity (Miles, 2018; Savaskan, 2018). Assemblers and suppliers use the Internet to communicate quickly and easily; Petrillo (2016) notes “-based industry exchanges have dramatically affect- ed inventory management; component suppliers can now publish their production schedules online, allowing assemblers and retailers [i.e., original equipment and replacement market customers, respectively] to accurately plan purchases.”41 The most recent innovations are seen at FCA’s newly reopened production line for Jeep Wranglers: the old chain conveyors have been replaced by an automated system adjusting to a worker’s height, machinery now installs - shields, and equipment rotates vehicles 90 degrees for greater ease in underside installation – all improving productivity, safety and reducing the physical strain on workers (Barkholz, 2018).

Many innovations have made vehicles safer. Miles (2018) mentions the improved performance of ceramic and aluminum in brakes compared with conventional materials. Other examples include tire pressure monitors, inflatable curtains, knee and side air-bags, rear view mirrors with expanded fields of vision, rear view cameras linked to dashboard monitors, and anti-lock brakes (Levy, 2010: 19; 2012: 17). Adding such safety features has been credited with saving thousands of lives (Levy, 2014: 13, 18).42 Others, such as catalytic converters and low-sulfur , have reduced air pollution. Some simply are better; for example, have virtually disappeared due to the superior air-fuel mixture control of mod- ern fuel injectors (Miles, 2018). Improving fuel efficiency, driven by increasing CAFE standards, has been achieved by making vehicles lighter, notably with various lighter materials – aluminum, plastics, magnesium, carbon-fiber composites, and the adhesives to bond them – replacing heavier materials (Hagerty and Ramsey, 2014).43

However, improvements may have a price or come with a trade-off. Complying with pollution, safety and CAFE standards impacts vehicle performance: the better brakes and new, stronger-but-lighter-weight steels are more expensive (Miles, 2018; Gearino, 2016b, respectively); aluminum weigh less and work better with rubber than steel wheels, but cost more per pound than does steel; reduced vehicle weight has improved fuel economy – but, ceteris paribus, that reduces safety in collisions, and adding pollution control equipment adds weight to a vehicle. Achieving these goals forced manu- facturers to adopt complex solutions that increased vehicles’ costs (Levy, 2014: 18).44

69 Other innovations beyond weight reduction have improved fuel economy and reduced pollution. Gasoline and diesel en- gines have become cleaner and more fuel efficient, with the former extracting nearly twice as much power from a gallon of gas as they did in the mid-1980s (Eisenstein, 2012; Whoriskey, 2011).45 Adding helps meet CAFE stan- dards and may lower the number of cylinders needed without sacrificing performance (Miles, 2018).46

Technical innovations aimed at improving fuel efficiency have been developed and incorporated throughout the powertrain and other vehicle systems. Transmissions with more forward gears than the older four- and five-speeds have fewer parts, weigh less and perform better when accelerating or maneuvering in traffic (Harbour Consulting, 2006: 170-171). More re- cently, “automated manual” transmissions and dual clutch systems have appeared (Miles, 2018), and continuously vari- able transmissions (CVTs) have been reintroduced.47 Tires have been designed for reduced resistance too (Lif- schutz, 2018), and vehicles long ago became more aerodynamic.

Perhaps the least-publicized but most extensive set of changes improving vehicle performance in multiple ways has been the implementation of “drive-by-wire” systems. Analogous to aircraft “fly-by-wire” systems, manual, mechanical, hydraulic and pneumatic control systems in motor vehicles have been and are being replaced by lighter-weight, more reliable elec- tronic control units (ECUs, colloquially referred to as computers). Movements of controls – steering wheels, accelerator and brake pedals, etc. – are converted to electronic signals transmitted to ECUs, which also receive data from sensors, perform complex calculations to determine how actuators move parts within safety limits – all done through electric wires (drawn from Wikipedia, 2018). Familiar applications include collision avoidance, anti-lock braking, and various aspects of engine and transmission operations; among the less familiar are new suspension components (Savaskan, 2018).48

Increasing CAFE requirements, the highly variable price of gasoline and concerns about greenhouse gas (GHG) - sions led organizations inside and outside of the industry to investigate alternative energy sources for powering vehicles. These include diesel fuel (including ), natural gas, and electricity.49 Each has its advantages and draw- backs. Diesel engines are more fuel efficient than gasoline engines, able to go 25-30 percent farther per gallon because they run on a leaner mixture of fuel and air. That also means, ceteris paribus, they emit less CO2 than gasoline engines and accelerate faster. However, diesel engines cost more make and operate; they must be sturdier and heavier because they operate at higher pressures, their system is more complex, and diesel fuel is more expensive. In con- trast to diesel and gasoline systems, natural gas-powered engines emit fewer pollutants, but such vehicles have had limited ranges (Heywood, 2006: 62) and natural gas isn’t always price-competitive with gasoline (Miles, 2018).

Unlike natural gas and -derived , ethanol is a source because it is derived from crops (Rohter, 2006; Wikipedia, 2016).50 It has a long history as a fuel, and has a higher octane content than gasoline (Green, 2006).51 Engines using ethanol are not substantially different from those using gasoline (Green, 2006). In fact, millions of

70 flexible fuel engines, running on either gasoline or an 85::15 ethanol-gasoline blend (known as ), have been made. However, non-flex-fuel gasoline engines may be limited to a blend with – at most – 10 percent ethanol (E10) (Wikipedia, 2018). Ethanol is less volatile than gasoline, making cold engines are harder to start – and explaining why it is blended with gasoline. It also is more corrosive than gasoline, but that disadvantage has been remedied.

Despite their advantages, alternative fuels such as natural gas, ethanol and biodiesel face limitations: (1) even if produced on an industrial scale, they become viable supplements or replacements only when the price of oil is sufficiently high; (2) there currently is no distribution network comparable to that for gasoline; and (3) it is questionable whether any can be produced in sufficient volume to replace petroleum-derived fuels. Ethanol and biodiesel production also face questions regarding environmental impact. Choi (2006) cited a University of Minnesota study comparing the two that concluded biodiesel was the better choice. -based biodiesel fuel returned more energy and produced fewer GHGs when compared with corn-based ethanol production. It also entailed less nitrogen, phosphorus and pesticide pollution. Still, Choi noted one limitation found by the scientists: “Dedicating all [the then] current U.S. corn and soybean production to , however, would meet only 12 percent of gasoline demand and 6 percent of diesel demand. Prairie grass may provide larger supplies with greater environmental benefits” (2006: 38, emphasis added).52 Corn, ethanol and biodiesel production have since risen, but the point remains that they are still far from replacing fossil fuels.

The interest in electrically-powered vehicles (EVs) reflects assemblers’ near-term efforts in meeting CAFE requirements, currently scheduled to rise from 42 miles per gallon in 2020 to 54-plus in 2025 (Krisher and Durbin, 2016; Mitchell, 2016) as well as their (and the public’s) long-term concerns about GHG emissions and finite fossil fuels.53 EVs are either purely electric or battery-gasoline hybrids.54 Besides reduced or no fuel consumption, EVs using only electric motors to turn the wheels also have little or no need for transmissions; ceteris paribus, further reducing vehicle cost and weight.55

Batteries and fuel cells are the sources of electric power. (Solar panels remain a research and development endeavor.) Solely battery-powered vehicles date to the early 20th century. Their initial advantage of fewer moving parts – and there- fore fewer breakdowns – was out-weighed by their bulk, limited range, lengthy recharge times and slower acceleration rates. Meanwhile, energy-dense gasoline was cheap, readily available and easy to transport (Vellequette, 2008).

Technological advances have improved battery-powered EVs. For example, GM’s EV[]1 was the most advanced solely battery-powered car from the mid-1990s; it used nickel metal hydride batteries that under ideal conditions lasted about 150 miles and needed eight hours to fully recharge (Neal, 2006). Its current Bolt can go from 0 to 60 in 6.5 seconds (beating some old V8 muscles cars) using -ion batteries, which last up to 238 miles (Krisher, 2016). Re- charging times usually are around 4.5 hours, but can be as low as 1.25 hours, depending on the equipment used (EVBox, 2018). Hybrids are very fuel efficient, have longer ranges, and – depending on the model and reference point – approach,

71 meet or exceed CAFE goals. Altogether, dozens of high-volume assemblers make at least one model.

Fuel cells produce electricity by various chemical reactions. Like batteries and hybrids, they have been around for more than a century, and progress has been made in reducing their cost, size and weight (Chang, 2014; Kageyama, 2008; Wikipedia, 2018). Although less efficient than batteries, they have characteristics making them competitive with or more desirable than batteries and internal combustion engines:

• Vehicular ranges usually exceed 300 miles (Irwin, 2016; Wikipedia, 2018); • They can be quickly refueled; • They can be adapted to any size vehicle without loss of efficiency (Chang, 2014; Webb, 2012); for example, buses are in use at various locations in the world (Wikipedia, 2018) including the Stark Area Regional Transit Authority fleet (Shingler, 2016a); • Those using only hydrogen emit only heat and water vapor as by products; • On-board hydrogen storage is less of a problem because tanks have been designed to diffuse hydrogen into the air in non-flammable concentrations if punctured or leaking (Thomas, 2008) whereas batteries using liquid electrolytes are potentially flammable (Hirtenstein, 2018); • Given equivalent units of fuel, hydrogen-based fuel cell vehicles are about twice as efficient as those powered by internal combustion engines (Wikipedia, 2018).

However, fuel cells have been difficult to make and not completely reliable in freezing weather (Jones, 2008a). Just three models are available with two only by lease – and all only in California (Wikipedia, 2018).

The principal disadvantage of EVs – whether fuel cell-powered, battery-only or hybrid – is they remain relatively expensive even after tax credits (Krisher, 2016; Savaskan, 2018; Wikipedia, 2018). (The U.S. government also tried to support the EV market by purchasing thousands of hybrid vehicles (Keane and Green, 2010).) While incorporating hybrid technol- ogies overcomes the shorter ranges of battery-only vehicles, they also add to a vehicle’s cost, and owners usually operate vehicles for years before recouping the extra costs by saving on gasoline.56 One survey found only 35 percent of hybrid owners bought another hybrid (cited by Levy, 2012: 13). This was interpreted as indicating most had not recouped the higher prices when matched with comparable non-hybrid models. Gasoline-powered fuel-efficient subcompact and models compete well with hybrids. Automotive News (2015, 2018) recorded initial U.S. sales of models “sold exclusively with electrified powertrains” of 240,347 in 2017, down from a revised 359,295 in 2013. Corresponding sales of subcom- pact and mini models totaled 561,546 and 784,681. These figures were 3.9, 4.6, 9.2 and 10.0 percent of U.S. car sales, respectively.57

As with alternative fuels, systemic issues need to be resolved before EVs are widely adopted:

72 For batteries – Some analysts have expressed concern about the scarcity of raw materials used in batteries as well as the locations where the raw materials are produced and processed (Hirtenstein, 2018). Governments, manufac- turers and utilities must address the issues of electric grid capacity and reliability,58 safety, standardization and re- locations along larger highways and at curbside meters and parking facilities. Some progress is evident: many companies make wired and wireless charging equipment for use by individuals or organizations, and proposed installing “1,275 charging stations over several years, including 250 available to the public” (Gearino, 2016c: C1). However, the number of operating charging stations may be much lower; Tesla had seven in Ohio by 2016 (Gearino, 2016d), and some have been installed on the Ohio Turnpike between Toledo and the Indiana border (Akron Beacon-Journal, 2018).

For fuel cells -- Hydrogen does not freely exist on Earth, and producing it depends on current energy sources. The sources are either expensive or the technology for using them is not widely available – and that includes electroly- sis powered by the sun, wind and water. The current practice of extracting hydrogen from natural gas (coal is an- other source) produces about one-half of the GHGs that a gasoline engine does, but cost the equivalent of $3 per gallon in 2008 (Thomas, 2008). Once produced, hydrogen must be transported to a storage location before being used in vehicles. Although the network of hydrogen refueling stations is expanding (Irwin, 2016), a distribution system equal to that of gasoline will take years.59

Due to all these factors, gasoline retains its advantages of low cost, high energy-density and wide availability despite volatile prices and concerns about negative environmental and health impacts.

Self-driving vehicles currently are the most widely discussed innovation in popular media. Cursory readings may leave an impression of the immanent debut of fully autonomous vehicles carry passengers and freight anywhere without human intervention, but daunting technical problems remain:

• Sensing equipment – cameras, radar, lidar (a portmanteau of laser light and radar), etc. – and subsequent software and vehicle performance deteriorate at low temperatures and in the rain (Bigelow, 2018); • Sensing equipment and the software processing their data must improve object recognition and determining if and how the object is moving (Bigelow, 2018; Somerville, 2018); (in a related matter, the U.S. Dept. of Transportation and the National Highway Traffic Safety Administration have updated testing guidance; the old metrics of miles-driven and frequency of human intervention were inadequate because navigating big-city streets is more complex than cruising on an empty highway (Beene, 2018)); • Software controlling vehicles must anticipate every possible scenario including pedestrians in traffic and police officers’ hand signals; solutions to all of these may be a decade or more away (Truett, 2016); • Currently there is no collaboration with emergency services so that autonomous vehicles can appropriately respond to

73 emergency vehicles (Somerville, 2018); • Vehicle-to-vehicle and vehicle-to-infrastructure (lane markings, traffic signals, bridges, etc.) links must be established, maintained and seamless transferred (Truett, 2016; however, see the Transportation Research Center section regard- ing a test of such a system).

Social issues also need to be resolved along with the technical problems before releasing fully autonomous vehicles. Open questions remain on operator, corporate and insurance liability if components or systems fail (Falvey, et.al., 2018), particularly following a pedestrian’s and driver’s deaths earlier this year in separate accidents involving semi-autonomous vehicles (Beene, 2018). Public acceptance of autonomous vehicles also appears lacking based on an American Auto- mobile Association survey in which 73 percent of respondents said they would be afraid to ride in a self-driving vehicle (Ahmed, 2018).60

Nevertheless, self-driving shuttles currently operate in small, fenced in areas – simple courses where other vehicles are absent (Bigelow, 2018b; Shiraz, 2018), and Google’s is sufficiently confident in the technical advances for self- driving vehicles to launch a commercial robo-taxi service in Phoenix “in a tiny geographic area with ideal driving condi- tions.” Backup drivers initially will be in the vehicles, but ideally will be phased out. This is an incremental step in a de- cade-long development, but currently leads all other companies (Randall, 2018). Other companies – notably GM and Tesla – are increasingly testing their autonomous vehicles on public roads. While the vehicles can operate safely, acci- dents have occurred, the most common of which has been the autonomous vehicles have been struck from behind in low- speed collisions. This has been interpreted as indicating autonomous vehicles do not “behave” as drivers anticipated (Bigelow, 2018b).

Partially automated driving systems are diffusing into mass-market light vehicles made by several assemblers. Data from cameras and sensors are integrated into an automated system for improved safety. While speed control, steering, lane departure warnings and automated emergency braking are common, the systems are intended to reduce stress, not sup- plant drivers even on the open ; drivers must remain engaged throughout the journey and can regain control when necessary (Olsen, 2018). Pogue (2018) felt the system improved his driving experience and made his journey safer des- pite being less than flawless.

74 THE TRANSPORTATION RESEARCH CENTER

The Transportation Research Center is a 4,500-acre and testing facility used to evaluate conventionally- and electrically-powered ground transportation equipment: cars, trucks, buses, recreational vehicles, and their components. It is the largest such multi-user proving ground in N. America, employing more than 400 people, and the only one with a U.S. government research facility on site: the National Traffic Safety Administration’s Vehicle Re- search and Test Center. Smaller companies also use it in lieu of establishing their own test facilities (Wikipedia, 2018).

Located on the northeast side of U.S. Route 33 halfway between Marysville and Bellefontaine about 40 miles northwest of Columbus, its office address is 10820 OH-347, East Liberty, Ohio. While most research is conducted at the main facility, a rural road and all-terrain vehicle (ATV) testing site is located nearby (Wikipedia, 2018), and a recent project planned to embed a stretch of Route 33 with high-capacity fiber optic cable and wireless sensors for testing autonomous and con- nected self-driving trucks (Ludlow, 2016). A follow-on project will equip 1,200 vehicles and Marysville’s 27 traffic lights with networked cameras, sensors, transmitters and digital displays (at least some of which were development by Honda) in a field test for improved road safety (Ghose, 2018).

The Center has 15 outdoor test tracks; a 7.5-mile oval is used for tests conducted at up to 140 miles per hour. An en- durance track is used to study the stress of typical highway use, and usually more than one vehicle is on the track at any given time. Other outdoor courses are used for test and evaluating vehicles and components under conditions that can be extraordinary. The Center also has six laboratories for conducting bio-mechanical research, and evaluating crash- worthiness, crash-avoidance systems, emission controls, performance under various thermal conditions, and – most recently – self-driving vehicles. The Center is used by various clients – assemblers, parts makers, lubricant producers, and ATV and manufacturers – and assures the confidentiality of results.

The Center opened in 1974 and was a key factor in Honda’s decision to located manufacturing facilities in that area of the state. While Honda now owns the land, the Center has retained ownership of the buildings and other assets; it ultimately is controlled by the (OSU). Consequently, it is a non-profit organization with revenues in excess of costs designated to fund vehicle research grants through OSU’s College of Engineering (drawn from Gearino, 2016a; Wikipedia, 2018). (OSU also has its Center for Automotive Research on Kinnear Rd. in Columbus.)

75

Intentionally blank

76 History and Projections: 2006--2026 Motor Vehicle Industry Output and Jobs

160.0

140.0

I 120.0 n d e 100.0 x

80.0 V a l 60.0 u e s 40.0

20.0

0.0 2006 2016 2026 U.S. MV GDO 06-16-26 100.0 118.3 137.5 U.S. MV Jobs 06-16-26 100.0 87.9 86.8 Ohio MV Jobs 06-16-26 100.0 83.1 81.9

Sources: U.S. BLS, ODJFS/LMI 77 THE NEAR- AND LONGER-TERM OUTLOOKS

Many of the trends identified earlier are expected to continue into the foreseeable future, but analysts may differ on the details, and new developments will emerge. Trends about which they prognosticate include employment, sales volumes, industry growth, exports, fuel prices and the possibilities for new technology.

The chart above indexes the history and longer-term projections for three parts of the motor vehicle industry (NAICS 3361-3): (1) U.S. gross duplicated output (GDO, or GDP plus the value of intermediate goods – green circles), (2) U.S. employment (green squares), and (3) Ohio employment (red triangles). The chart shows U.S. motor vehicle industry GDO rose 18.3 percent (118.3 minus 100.0) from 2006 to 2016 and is predicted to increase 16.2 percent from 2016 to 2026. The net change in output from 2006 to 2026 is expected to be 37.5 percent (137.5 minus 100). By comparison, data in Appendix table A17 record total U.S. GDO rising only 7.3 percent from 2006 to 2016, but project GDO rising 22.8 percent from 2016 to 2026, with 31.7 percent growth from 2006 to 2026. Thus, while the motor vehicle industry is ex- pected to grow faster than the overall economy from 2006 to 2026 – 37.5 vs. 31.7 percent, most of that growth is in the past. Figures in Appendix table A17 project about one-half of industry growth for 2016-2026 to be generated by the as- sembly group (3361), but the bodies-and-trailers group (3362 – and including RVs) may grow at the fastest rate.

The chart above also illustrates roughly comparable changes for U.S. and Ohio industry employment seen in the past and forecast for the future. U.S. employment fell a net 12.1 percent from 2006 to 2016 (100 minus 87.9) and is projected to decline 1.2 percent in the following decade (the index equals 86.8 in 2026); Ohio employment fell 16.9 percent from 2006 to 2016 and is projected to decline 1.4 percent from 2016 to 2026. However, the specific figures in Appendix table A17 present slightly different stories: U.S. industry jobs declined in all three groups while Ohio jobs fell in the assembly and parts groups but were largely unchanged in the bodies and trailers group for 2006-2016. On the other hand, predicted employment gains for 2016-2026 at assembly plants are expected to be more than offset by predicted declines in the other two groups in Ohio and across the nation. In short, real industry economic growth (GDO) is not expected create industry jobs over the long term. These divergent forecasts implicitly point to the anticipated impact of further automation, particularly in the parts group.

The long-term predictions for the industry differ from the shorter-term because the former focus on trends independent of cyclical and other socio-economic changes while the latter tries to incorporate them. Along the latter line and based on constant dollar values, combined figures from IBIS World analysts suggest a two percent U.S. industry-wide (NAICS codes 3361-3363) contraction in 2019 from 2018, followed by a fractional decline in 2020. They expect the declines will be concentrated in car and medium-and-heavy-duty truck assembly, which could be partially offset rising demand for bodies and trailers, etc., and, to a lesser extent, light-duty truck assembly; negligible changes are forecast in parts (3363)

78 and tire (32612) demand perhaps because they are both OE and AM suppliers (drawn from Lifschutz, 2018; Miles, 2018; Savaskan, 2018). 2019 light vehicles unit sales are expected to be 2.3 percent lower than in 2018; slower overall eco- nomic expansion, higher interest rates, a slight increase in the unemployment rate and less consumer confidence are factors behind this prediction (Savaskan, 2018). Similarly, the National Automobile Dealers Association predicts light vehicle unit sales to decline to 16.8 million units (see Klayman, et.al., 2018), and Wood (2018) forecast sales of 16.2 mil- lion units due to higher vehicle prices (a possible consequence of steel and aluminum tariffs), higher fuel prices, higher interest rates and tighter lending standards.

While an overall decrease in demand appears to suggest an imminent recession, the combined constant dollar figures of Miles (2018) and Savaskan (2018) predict relatively slow but steady real growth in industry GDP from 2018 through 2023.61 They account for the difference between demand and GDP with forecasts of increasing exports and declining imports (although the trade deficit will remain). In turn, the trade forecast depends on an expected decrease in the value of the dollar. Short term employment growth is expected to follow GDP, but at a rate slightly lower rate. GDP and em- ployment growth may be greatest in truck assembly and the bodies-and-trailers group, offsetting the declines in car as- sembly, while the parts and tires industries may see little change (also see Lifschutz, 2018.). Mean industry pay per employee is expected to fluctuate.

These predictions could be disrupted by two decisions expected in 2019: whether to modify and/or ratify the U.S.-Mexico- Canada Agreement (USMCA, the proposed NAFTA replacement), and whether 25 percent tariffs will be imposed on the light vehicles and parts imports from countries other than Canada and Mexico. The proposed USMCA intends to halt and reverse the shift of motor vehicle industry manufacturing from the U.S. and reduce the trade deficit (principally focused on Mexico) by changing the rules of origin.62 Three key provisions to this end are that by 2023 (1) 40 percent of car content and 45 percent of pickup content must be made by workers earning at least $16 per hour, about three times the current average manufacturing wage in Mexico, (2) 70 percent of the aluminum and steel used must come from N. America, and (3) 75 percent of the value of vehicle content must come from N. America – all in order to avoid tariffs. Assuming the USMCA goes into effect with little or no modification, the provisions may have several consequences – intended and unintended, desired and undesired:

• manufacturers may alter supply chains by moving some production to N. America and/or moving some N. American production to selected Asia nations to avoid newly higher labor costs; • either way, foreign-based manufacturers may conclude investing here is politically risky and may be more cautious about investing here; • compliance costs may rise for all companies manufacturing here; • assemblers may offer stripped-down models to meet content rules; and/or • assemblers and parts makers may raise prices to offset greater costs, making vehicles more expensive for American

79 consumers and less competitive in export markets (drawn from Crain’s Cleveland Business, 2018b; Dawson and , 2018; Kulisch, 2018a; Medore, 2018; Rappeport, 2018; Schlesinger, et.al., 2018; and Sweeney, 2018a).

However, most economists think the USMCA is unlikely to achieve the intended goals of boosting economic growth and manufacturing employment; only a minority predict either a decline or a modest increase in economic and job growth. What most expect is some wage inflation and higher vehicle prices (Torry, 2018). Neither does the USMCA remove the current U.S. tariffs on all imported steel and aluminum, two important inputs.63 The tariffs, meant to aid those domestic industries, ignore the global character of the motor vehicle industry and its supply chain (Rappeport, 2018). Ford ex- ecutives have complained those tariffs will lop about $1 billion from company profits (Naughton and Deaux, 2018).

Outside of NAFTA and the USMCA, tariffs on light vehicles from Japan and the European Union (currently ranging from 2.5 to 25.0 percent) will be part of upcoming trade negotiations (Kulisch, 2018b).64 Motor vehicle companies operating in N. America fear supply chains will be disrupted and prices will increase if a trade war escalates (Jacobs and Leonard, 2018; Wasson and Mayeda, 2018). It will be difficult to tell how the targeted countries will respond if tariffs are imposed and how that may further affect the industry.

Petroleum prices are expected to trend higher over the very long term due to worldwide population growth and economic development as well as increasing costs for locating and extracting a finite resource. As previously noted, it probably is impossible to produce ethanol and biodiesel in volumes sufficient to replace oil and natural gas. This alone would compel a long-term shift to EVs and/or substantially more fuel-efficient IC-powered vehicles.65 Sedgwick (2018) argues this long- term shift to EVs is underway as “the 10 largest automakers will introduce 158 battery-electric vehicles worldwide [over the next five years]… the switch to EVs will pick up steam over the next decade as China, the European Union, India and other countries consider mandates that would encourage them. By 2030, global production of full EVs is expected to total 21.1 million vehicles, up from an estimated 1 million this year… Production of plug-in hybrids and conventional hybrids is likely to hit 7.8 million vehicles by 2030.” Production of mild hybrids – using internal combustion (IC) engines combined with various energy-saving systems – is forecast to reach 29.2 million by 2030, “But in the long run, fully electric vehicles will dominate global markets… [partly because] The industry is developing cheaper batteries with better range,” and some industrialized countries are considering banning or limiting IC engines within a few decades. Some large suppliers who believe they see the proverbial handwriting-on-the-wall are making changes now by spinning-off their IC powertrain units into stand-alone companies and/or moving to supply EV components in order to survive (Sedgwick, 2018). It is even possible that hybrid diesel-electric medium- and heavy-duty trucks will find a market niche (Savaskan, 2018). Such an expansion of EVs also would increase the demand for systems but reduce the demand for trans- missions (Savaskan, 2018).

Truett (2018) counters that in the meantime: “even the most bullish forecasts call for full EVs to account for only around

80 eight percent of the U.S. market by 2025. They represent less than 2 percent today,” meaning IC engines will remain the main-stay power source at least in the shorter term. This also means transmissions will still be needed. The development and diffusion of new and existing IC engine technologies – hybrid equipment, electric fluid pumps, turbochargers, cylinder deactivation, multi-valve cylinder heads, variable compression and timing, electro-mechanical valve trains – plus better transmissions and cleaner diesel fuel will continue to gradually improve power and efficiency and further reduce GHG emission rates (drawn from Miles, 2018; Savaskan, 2018; and Truett, 2018).

The use of drive-by-wire electronics as applied to other parts and vehicle subsystems such as interiors, steering, suspen- sion and braking is expected to continue regardless of powertrain choices. Adoption of these technologies also will simply assembly, increase reliability and reduce vehicle weight. Greater use of aluminum, plastics and carbon fiber materials is expected to reduced vehicle weight particularly if costs can be reduced (Miles, 2018; Savaskan, 2018). At this point, it is fair to say companies, whether independent or assemblers’ subsidiaries, will continue research and development activities for all types.

Automation at assembly and parts plants is expected to continue as companies, facing domestic and international com- petition, seek to reduce costs. Companies also may move labor-intensive operations to lower-wage countries while re- taining high-value-added, more-technical work in the West (Savaskan, 2018). This will require capital investments, which may focus more on upgrading existing plants as opposed to establishing new ones (Savaskan, 2018). No one has ven- tured any guesses how the ranks of assemblers may change, but previously noted changes among tier-1 suppliers (see Levy, 2014) are expected to continue (Miles, 2018; Savaskan, 2018). These include acquisitions providing synergies with existing product lines, divestitures of under-performing assets, or simply leaving the industry for other business ventures.

See Tables A8 and A17

81 ABOUT THE BODIES-AND-TRAILERS GROUP

Products from the four industries in this group (NAICS 3362) are used by individuals and organizations. In that sense, the group mirrors a basic division of the larger industry groups (3361, 3363 and related industries): consumer accessories or leisure items such as motor homes, pickup trucks caps, or towed equipment – campers, horse and boat trailers, etc. – in one segment, and capital goods components such as truck cabs, bodies and trailers for hauling freight or job-related equipment and supplies in the other. Consequently, industry output is highly cyclical for the same reasons cited earlier: (1) motor home sales and production rise when consumers feel financially secure (as in a growing economy with a low unemployment rate) and gas prices are low; and (2) shipping more freight in an expanding economy eventually requires more trucks and trailers.66 Sales revenue for the group is nearly equally split between the consumer and capital goods segments (Savaskan, 2018).

This group is mature, like most other motor vehicle industries, in the sense that the fundamental products are well estab- lished in the market place, as are the companies producing them, long-term growth parallels the overall economy, and competition is based on price and features. The industry is somewhat globalized; companies making large products set up manufacturing facilities in the regions they serve because it generally is less expensive than shipping such items great distances. Consequently, most imports and exports are smaller items, and most trade has been with Canada and Mexico (Savaskan, 2018).

On the other hand, the group differs from most other constituent industries in several ways:

• production is not concentrated; the two largest companies, Thor Industries (whose Airstreams are made in Ohio) and Berkshire-Hathaway (the ultimate parent company), have single-digit percentage portions of total industry revenue; • it is labor-intensive, not capital-intensive; • a balance of trade surplus has existed for a number of years, and is expected to continue for the foreseeable future; • except for motor homes, most goods are accessories made in low volumes, not subject to much automation; • hybrid electric vehicles – perhaps the coming thing for light vehicles (33611) – are prohibitively expensive because motor homes need much more power than light vehicles; • the industry receives little in the way of government assistance (Savaskan, 2018).

Sales can be somewhat volatile in the short term, but long-term industry growth may be slightly greater than for the overall economy due to the increasing portion of the population age 50 and over, an important market for this group; U.S. industry establishment and employment numbers may subsequently rise. Imports and exports also are forecast to increase, with the surplus growing if the value of the dollar decreases as predicted (Savaskan, 2018).

82

Intentionally blank

83 ASSEMBLER PROFILES

There are six high-volume motor vehicle assemblers with at least one such establishment in Ohio. They are Fiat Chrysler Automobiles (FCA), Ford, General Motors (GM), Honda, Navistar and Paccar’s Kenworth division. All share a number of characteristics:

• they are publicly held companies; • they have more than one vehicle brand, and have parts brands; • they have subsidiaries; usually these are secondary businesses (with non-motor vehicle industry NAICS codes) sup- porting their principal business, but some may also offer goods and/or services otherwise unrelated to the industry; • they make some of their own parts – especially major stampings and powertrains, but also rely on a network of in- dependent companies to supply other parts and accessories; • they are researching and/or developing self-driving and interconnected vehicles as well as alternative and supple- mental power sources for their vehicles – often in partnerships with other companies inside or outside the industry; • they have multi-continental operations, which means they have revenue sources as well as employment outside the state of Ohio and N. America.67

Given the size and complexity of these companies as well as space limitations on this report, the individual profiles focus on recent news and planned changes to company operations in Ohio after the selected highlights.

84 Toledo North Toledo Supplier Park " Lake Ashtabula Lucas " Fulton Williams " Ottawa Toledo Geauga Fiat Chrysler Machining Cuyahoga Defiance Sandusky Erie Henry Lorain Trumbull Wood Automobiles

Portage in Ohio Huron Summit Paulding Seneca Medina Putnam Mahoning Hancock

Van Wert Ashland Wyandot Crawford Wayne Stark Columbiana Allen Richland

Hardin Auglaize Marion Carroll Mercer Holmes Morrow Jefferson Logan Knox Tuscarawas Shelby Coshocton Harrison Union Delaware

Darke Champaign Licking Miami Guernsey Belmont Franklin Muskingum Clark Montgomery Madison Preble Noble Fairfield Perry Monroe Greene Pickaway Morgan Fayette

Hocking Washington Butler Warren Clinton

Ross Athens Vinton Hamilton Highland Meigs Clermont Pike Jackson Brown Gallia Adams Scioto

Prepared by: Office of Research

Lawrence Ohio Development Services Agency December 2018

85 R101918A Fiat Chrysler Automobiles NV

Website: www.fcagroup.com 2017 Revenue: $133,211,000,000, which would have ranked 34th overall in the world if included in Fortune’s Global 500. Net Income: $4,215,000,000 – 3.16 percent of revenue (Wikipedia, 2018). 2017 Light Vehicle Production: in N. America: 2,270,975 – ranked 3rd with 13.27 percent of all N. American light vehicle production; in Ohio: 343,698 – ranked 2nd in the state, with 15.13 percent of its N. American light vehicle production here (Automotive News, 2018).

Fiat Chrysler Automobiles (FCA) can be described as an Italian-American company with its main headquarters in Amster- dam, Netherlands, its financial headquarters in London, the United Kingdom, and other high-level management offices in Auburn Hills, Michigan, and Turin, . Its principal business is manufacturing and assembling major components into light vehicles. Its 2017 revenue would rank it 7th in the world among comparable companies if include in Fortune’s Global 500. Other Chrysler Group vehicle brands are Dodge, Jeep and Ram, and other Fiat Group vehicle brands are , , and . Other FCA marques are (parts, accessories and service), VM Motori (diesel en- gines), (automation) and (its foundry). It recently sold its parts division; however, the new company will remain an important supplier (Toloken, 2018). is Chairman of the Board, Mike Manley is the CEO (FCA, 2018) and Tim Kuniskis heads Jeep N. America (Lawrence, 2018). FCA’s latest worldwide employment figure is 235,917 (Wikipedia, 2018).

FCA was the top-ranked light truck assembler in Ohio during 2017, and 2nd-ranked in overall light vehicle output. Unlimited became the highest volume light truck produced here after Cherokee assembly was transferred out of state in Spring, 2017. FCA has the lightest footprint of all high-volume light vehicle assemblers. Its three manufacturing plants here – two assembly plants in Toledo and a steering column/ converter plant in Perrysburg – currently em- ploy about 6,800. Another 930 are directly employed by Mobis and Kuka but work under FCA’s aegis at the Toledo com- plex (Office of Research, ODSA, 2018a; Wikipedia, 2018).

Changes continue at the Toledo complex. Jeep model JL production began at the newly re-tooled Toledo North in Jan- uary, 2018, succeeding model JK production at Supplier Park. Supplier Park (fka Toledo South or Stickney) is currently re-tooling for Jeep pick-up assembly, which is scheduled to begin early in 2019.

86 Lake Ashtabula Lucas Fulton Williams Ottawa Ohio Assembly# Geauga # Cuyahoga Wood Defiance Henry Sandusky Erie Engine Lorain in Ohio Plant 1 Trumbull Portage Huron Summit Paulding Seneca Medina Putnam Mahoning Hancock

Van Wert Ashland Wyandot Crawford Wayne Stark Columbiana Allen # Lima Richland Engine Hardin Auglaize Marion Carroll Mercer Holmes Morrow Jefferson Logan Knox Tuscarawas Shelby Coshocton Harrison Union Delaware

Darke Champaign Licking Miami Guernsey Belmont Franklin Muskingum Clark Montgomery Madison Preble Noble Fairfield Perry Monroe Greene Pickaway Morgan Fayette

Hocking Washington Butler Warren Clinton Sharonville Ross Athens # Vinton Hamilton Transmission Highland Meigs Clermont Pike Jackson Brown Gallia Adams Scioto

Prepared by: Office of Research

Lawrence Ohio Development Services Agency December 2018

87 R101918A Ford Motor Co.

Websites: www.ford.com, www.media.ford.com, www.corporate.ford.com. 2017 Revenue: $156,776,000,000 – ranked 11th overall in the U.S. and 22nd overall in the world; Profit: $7,602,000,000 – 4.85 percent of revenue (Fortune, 2018). 2017 Light Vehicle Production: in N. America: 3,002,204 – ranked 2nd with 17.54 percent of all N. American light vehicle production; in Ohio: 57,269 – ranked 4th in the state, with 1.91 percent of its N. American light vehicle production here (Automotive News, 2018).

Ford was the 5th-ranked motor vehicle assembler in the world, as judged by 2017 revenue, and the only one of the Detroit Three not to file bankruptcy in 2009.68 The company’s principal business is assembling vehicles of all sizes as well as producing powertrains and major stampings, among other components. Its other brands are Lincoln, Troller (in the Bra- zilian market) and . (The last sells AM parts; much of Ford’s parts production was spun off to Visteon years ago.) Ford has manufacturing operations on every continent as well as interests in, or joint ventures with, smaller indus- try manufacturers around the world. It also owns Ford Credit, which principally motor vehicle sales. The com- pany’s world headquarters is in Dearborn, Michigan, where William Clay Ford Jr. is Executive Chairman, Jim Hackett is President and CEO, and Bruce Hettle is Group Vice President for Manufacturing and Labor Affairs (Ford, 2018; Wikipedia, 2018). Its latest worldwide employment figure is 202,000 (Fortune, 2018).

Ford has four manufacturing plants in Ohio. Its Ohio Assembly plant in Avon Lake is classified as a light truck estab- lishment given the initial annual production figures for 2017:

• 57,269 E series Econoline chassis and specialized vans; • 10,559 F650 and F750 medium-duty trucks; and • 7,486 Super Duty cabs for light- and medium-duty trucks (F350s, F450s and F550s).

1,650 work in Avon Lake. Engine Plant No. 1 at Brook Park makes 3.5L EcoBoost and 3.7L Duratech engines, while the Lima plant makes the V-6 versions of the same; 1,570 work at the former, and 1,270 at the latter. 1,660 work at the Sharonville plant, which makes gears and transmissions. Ford’s total manufacturing employment in Ohio is 6,150 (Auto- motive News, 2018; Ford, 2018).

From 2014 to 2017, Ford announced plans to invest nearly $3 billion in its Ohio factories; 86.6 percent was intended for its three parts plants (Office of Research, 2018b).

88 G Lake Ashtabula Lucas Fulton Williams Ottawa Geauga Cuyahoga General Motors Henry G Defiance Wood Sandusky Erie Parma Lorain Trumbull in Ohio G Defiance Metal Foundary Center Portage Summit Paulding Seneca Huron G Medina Lordstown Putnam Hancock Complex** Mahoning

Van Wert Ashland Wyandot Crawford Wayne Stark Allen Richland Columbiana

Hardin Marion Auglaize Carroll Mercer Holmes Morrow Jefferson Logan Knox Tuscarawas Shelby Coshocton Harrison Union Delaware

Darke Champaign Licking Miami Guernsey Belmont Franklin Muskingum Clark Montgomery Madison Preble Noble Fairfield Perry Monroe G Greene DMAX Pickaway Morgan Fayette

Hocking Washington Butler Warren Clinton

Ross Athens Vinton Hamilton Highland Meigs **Closure announced for 2019 Clermont Pike Jackson Brown Gallia Adams Scioto

Prepared by: Office of Research

Lawrence Ohio Development Services Agency December 2018

89 R101918A General Motors Co.

Websites: www.gm.com 2017 Revenue: $157,311,000,000 – ranked 10th overall in the U.S. and 21st overall in the world; Profit: -$3,864,000,000 – -2.46 percent of revenue (Fortune, 2018). 2017 Light Vehicle Production: in N. America: 3,392,131 – ranked 1st with 19.82 percent of all N. American light vehicle production; in Ohio: 143,492 – ranked 3rd in the state, with 4.23 percent of its N. American light vehicle production here (Automotive News, 2018).

General Motors (GM) is the 4th-ranked motor vehicle assembler in the world, as judged by 2017 revenue. The company’s principal business is assembling light vehicles and medium-duty trucks, and producing powertrains and major stampings, among other components. It also makes powertrain equipment for marine, industrial and off-road use, and its newly- formed Defense division is active in fuel cell power supply. (However, other parts operations and many non-motor vehicle subsidiaries were divested years ago.) Current brands familiar to N. Americans are , , and GMC – all vehicles, and AC Delco – parts. Other brands mentioned by GM (usually joint venture products) are , Jie Fang and Wuling (all Chinese), (Australian), and Daewoo (Uzbekistani). It also owns GM Financial, which has loan and lease programs for customers and dealers, and , a ride sharing and enterprise. It operates OnStar, a vehicle safety and security service, and has a Ventures division for joint ventures with smaller companies. GM’s world headquarters is in Detroit, Michigan, where is Chairwoman and CEO and Dan Ammann is President (GM, 2018; Wikipedia, 2018). Its latest worldwide employment figure is 180,000 (Fortune, 2018).

GM’s Cruze, the second most popular car to come out of Ohio in recent history, has been assembled by 1,500 in Lords- town (which also includes stamping and painting facilities). Unfortunately, production is scheduled to end in March, 2019, with no new model allocated to the plant, and despite the efforts of U.S., state and local government officials. Officials and local economic development leaders continue efforts to land a new vehicle (Balmert and Borchardt, 2018; Grzelewski and Runyan, 2018). Hope remains because GM must negotiate any U.S. plant’s closure with the Union according to their agreement (Irwin, 2018), but some analysts and commentators are pessimistic about its future at this writing (Various, 2018).69 The remainder of GM’s nearly 6,500 manufacturing workers in Ohio make 6-speed front- and rear- drive transmissions in Toledo (1,722), stampings in Parma (1,344), aluminum and iron engine-related pro- ducts at the Defiance foundry (1,128), and 6.6L V8 diesel truck engines at DMAX (a joint venture with Isuzu) in Moraine (796). It also has a parts distribution center in Cincinnati (GM, 2018; Wikipedia, 2018). GM anticipates transferring about 70 of the jobs lost in Lordstown to Toledo (Grzelewski, 2018a).

All of the $1 billion-plus GM has planned to invest in Ohio during the last four years has been for the parts plants (Office of Research, 2018b). 90 Lake Ashtabula Lucas Fulton Williams Ottawa Geauga Cuyahoga Honda Motor Company Wood Sandusky Erie Defiance Henry Lorain Trumbull in Ohio

Portage Huron Summit Paulding Seneca Medina Putnam Mahoning Hancock

Van Wert Ashland Wyandot Crawford Wayne Stark Columbiana Allen Hardin Richland Celina Russells Point Aluminum Transmission Marion Holmes Carroll ! Auglaize Morrow Mercer ! ! East Liberty Cardington Yutaka Jefferson Anna ! Assembly Technologies. Tuscarawas Engine Logan ! Union Knox Shelby ! Delaware Coshocton Harrison ! Champaign Darke Marysville Miami Assembly Licking Performance Guernsey Manufacturing Belmont Center Franklin Muskingum Montgomery Clark Madison Preble Noble Fairfield Perry Monroe Greene Pickaway Morgan Fayette

Hocking Washington Butler Warren Clinton

Ross Athens Vinton Hamilton Highland Meigs Clermont Pike Jackson Brown Gallia Adams Scioto

Prepared by: Office of Research

Lawrence Ohio Development Services Agency December 2018

91 R101918A Honda Motor Co., Ltd.

Websites: world.honda.com 2017 Revenue: $138,646,000,000 – ranked 30th overall in the world; Profit: $9,561,300,000 – 6.90 percent of revenue (Fortune, 2018). 2017 Light Vehicle Production: in N. America: 1,853,175 – ranked 5th with 10.83 percent of all N. American light vehicle production; in Ohio: 609,673 – ranked 1st in the state, with 32.89 percent of its N. American light vehicle production here (Automotive News, 2018).

Honda is the 6th-ranked motor vehicle assembler in the world, judging by 2017 revenue.70 Its principal business is as- sembling light vehicles as well as producing their major components and some additional parts. Its other light vehicle brand is Acura. Other major products are motorcycles, outboard marine and general-purpose engines, generators, water pumps, lawn mowers and brush cutters, tillers, snowblowers and aircraft (the last in a joint venture with GE Aviation). It also offers supporting financial services. Although headquartered in Tokyo and with operations on every continent, 54.4 percent of fiscal 2017 revenue came from N. America. is President and CEO, Soichiro Takizawa is President and Director of Honda of America Manufacturing, and Shinji Aoyama is the Sr. Executive Vice President and Chief Operating Officer and Director of Honda N. America and American Honda Motor Co. (Honda, 2018). The latest worldwide employment figure is 215,638 (Fortune, 2018).

Honda currently assembles four car and three SUV models at its Marysville and E. Liberty locations, making it the top car producer, the 2nd-ranked light truck maker, and overall leader in light vehicle production in Ohio. Its Accord is the highest- volume model light vehicle made here (Automotive News, 2018), its CR-V helped it earn U.S. News and World Report’s Best SUV Brand appellation for the fourth consecutive year (Henry, 2018), and Road and Track named the Acura NSX – the only luxury made in N. America – its 2017 Performance Car of the Year (Gearino, 2016b). 11,925 work in its manufacturing facilities, including 4,000 at the Marysville complex, 3,200 at the Anna engine plant, 2,350 at E. Liberty, 1,100 at the Russells Point transmission plant, with 1,275 more making parts at subsidiaries known by other names. An estimated 3,075 more Honda employees are engaged in wholesale, logistical, research, development and other profes- sional and technical services. Honda’s keiretsu parts makers collectively employ 7,150 (Office of Research, 2018a).

Honda announced plans to invest nearly $1 billion in its manufacturing facilities during the last four years, with about 52 percent intended for assembly plants. A total of 425 new jobs were anticipated upon the completion of all projects (Office of Research, 2018b).

92 Lake Ashtabula Lucas Fulton Williams Ottawa Geauga Cuyahoga Wood Sandusky Erie Defiance Henry Lorain Trumbull and

Portage PACCAR/Kenworth Huron Summit Paulding Seneca Medina Putnam Mahoning in Ohio Hancock

Van Wert Ashland Wyandot Crawford Wayne Stark Columbiana Allen Richland

Hardin Auglaize Marion Carroll Mercer Holmes Morrow Jefferson Logan Knox Tuscarawas Shelby Coshocton Harrison Union Delaware Champaign Darke Navistar Licking Miami Guernsey $ International Belmont Assembly Franklin Muskingum Clark Montgomery Madison Preble Noble Fairfield Perry Monroe Greene Pickaway Morgan Fayette

Hocking Washington Butler Warren Clinton Ross $ PACCAR Athens Vinton Hamilton Kenworth Highland Assembly Meigs Clermont Pike Jackson Brown Gallia Adams Scioto

Prepared by: Office of Research

Lawrence Ohio Development Services Agency December 2018

93 R101918A Navistar International Corp.

Website: www.navistar.com 2017 Revenue: $8,570,000,000 – ranked 342nd overall in the U.S., not in the top 500 in the world; Profits: $30,000,000 – 0.35 percent of revenue (Fortune, 2018).

Technically a holding company, Navistar’s world headquarters is in Lisle, . Troy Clarke is the President and CEO. It has manufacturing establishments in N. and S. America and China with additional facilities elsewhere. The company’s principal business is assembling medium- and heavy-duty trucks and buses. It also produces military vehicles, truck and bus bodies and chassis, diesel engines (for motor vehicle and other applications) and other OE and AM parts. Other brands are International (trucks and buses) and IC and NeoStar (buses). It maintains a sales and service network, and offers financing in conjunction with local partners (Navistar, 2018). Worldwide employment is 11,400 (Fortune, 2018). Volkswagen took 16.6 percent equity stake in the company in 2016 (Taylor, 2016). More than 1,800 people assemble 75 or more International DuraStar, ProStar+, TerraStar, TranStar or WorkStar trucks each day at the Springfield plant. More jobs are anticipated when GM van and medium-duty truck production (using DMAX-made engines) starts (Sanctis, 2016, 2018). In the last four years, the company announced plans to spend $40-plus million here (Office of Research, 2018b).

Paccar, Inc.

Website: www.paccar.com 2017 Revenue: $19,456,400,000 – ranked 155th overall in the U.S., not in the top 500 in the world; Profits: $1,675,200,000 – 8.61percent of revenue (Fortune, 2018).

Paccar’s world headquarters is in Bellevue, Washington, where Mark C. Pigott is Executive Chairman and Ronald E. Arm- strong is the CEO. Its principal business is assembling medium- and heavy-duty trucks under various brands: DAF ( and Europe), Leyland (United Kingdom), Kenworth (N. America and ) and (N. America). It also makes off-road trucks, powertrains (although customers may choose Cummins natural gas engines) and other parts (including Dynacraft batteries), winches and hoists, and has related leasing, sales, financing and repair operations (Paccar, 2018). 25,000 are employed worldwide (Fortune, 2018). More than 1,950 work at its Kenworth plant in Chillicothe, which has the capacity to assemble 160 class-8 T680 or T880 trucks per day (Paccar, 2018). The company announced plans to invest $17 million at the plant in 2016 (Office of Research, 2018b) and $33 million more in 2018 (Balusik, 2018).

94

APPENDICES

95 NAICS CODES: INDUSTRY DEFINITION AND EXAMPLES

Beginning with the 1997 Economic Censuses, the nation’s industry statistics have been collected under the North Ameri- can Industry Classification System (NAICS) (Office of Management and Budget, 1998). Establishments producing goods or providing services sufficiently alike are classified in the same industry. A six-digit NAICS code is assigned to each in- dustry. Closely related industries formed an industry group. The first four digits of the code indicate the group to which the industries belong. (A five-digit code defines a subgroup when it subsumes more than one six-digit code; otherwise, it serves as an industry code.) Industry groups with common elements and shared characteristics comprise a major indus- try or sub-sector, and are indicated by the first three digits of the code. Most of the data from government sources used in this report have been collected under that system. (Slight revisions are available at .)

Three groups from the transportation equipment sub-sector (NAICS 336) combine to form the core of the motor vehicle industry in this report. They are motor vehicles (3361, also referred to as assembly operations), motor vehicle bodies and trailers (3362), and motor vehicle parts (3363). The tires subgroup (32621) and storage batteries (335911) are included – when information is available – because most of the goods produced in those industries are original equipment or replace- ment parts for motor vehicles. Industries wherein most of the goods produced are not used in motor vehicles are exclud- ed from this report, although some exceptions may be made for establishments at least mostly dedicated to motor vehicle parts. Diesel engine and automotive glass production (333618 and 327215, respectively) are examples of this.

The defining concept for the motor vehicle industry is manufacturing equipment for transporting people and goods over a network of roads. This definition excludes establishments producing ships, boats, railroad and vehicles and equipment. Also excluded for various reasons are establishments producing motorcycles, , military armored ve- hicles and tanks, all-terrain vehicles, go-carts, golf carts, racecars, , animal-drawn vehicles, children’s ve- hicles and components thereof. After the discussion of the industry’s impact on Ohio’s economy, industries dependent on motor vehicles – suppliers of materials to the industry, makers of equipment used to manufacture motor vehicles-bodies- trailers-and-parts, wholesalers, retailers, gas stations, and repair services – are not included.

Motor vehicle industry establishments use production processes similar to machinery manufacturers (333): bending, form- ing, welding, machining and assembling metal, glass, rubber and/or plastic parts into components and finished products. However, some machinery is used to produce other goods, and the goods-moving machinery – agricultural, construction, and material-handling equipment – is not intended for highway use. Other people-moving machinery – elevators, escala- tors, moving sidewalks, etc. – is also classified in the machinery industry.

Examples of products made in various motor vehicle industries follow the NAICS codes and industry titles below.

96 The transportation equipment industries:

3361 Motor Vehicles. 33611 Automobiles and Light Duty Motor Vehicles. 336111 Automobiles. Establishments assemble complete cars (both uni-body or body-and-chassis) or produce car chassis alone. Manufacturing only car bodies, or assembling vehicles on a purchased chassis, is classified in 336211. 336112 Light Trucks and Utility Vehicles. Establishments assemble complete light trucks (body and chassis) or pro- duce light truck chassis alone. Light duty trucks (class-1 through class-3) include , pick-ups and sport-utility vehicles. Manufacturing only truck and bus bodies, or assembling vehicles on a purchased chassis, is classified in 336211. 33612 Heavy Duty Trucks. “Heavy-duty trucks” includes the medium- and heavy-duty (class-4 through class-8) trucks as well as buses, heavy-duty motor homes and other special-purpose, heavy-duty motor vehicles for highway use. Establishments assemble complete trucks (body and chassis) or chassis alone.

3362 Motor Vehicle Bodies and Trailers. 336211 Motor Vehicle Bodies. Establishments produce truck cabs as well as car, truck and bus bodies. These may be sold separately or assembled on a purchased chassis and sold as complete vehicles. lifting mechanisms and fifth wheels are included. 336212 Truck Trailers. Examples also include truck trailer chassis, cargo container chassis, detachable trailer bodies, and detachable trailer chassis sold separately. 336213 Motor Homes. The defining element is the integration of the motor and the living quarters in the same unit. Whether or not the chassis is purchased is irrelevant. Car and van conversion are included if the work is done on an assembly line. Mobile homes are classified in 321991; customized cars and trailers not produced on an assembly line are classified in 811121. 336214 Travel Trailers and Campers. Examples include transport trailers for cars, camping trailers, horse and utility trailers.

3363 Motor Vehicle Parts. 33631 Motor Vehicle Gasoline Engines and Engine Parts. Examples of parts include carburetors, pistons, piston rings and valves – all of which are no longer broken-out into a 6-digit industry – as well as crankshafts, fly- wheels, ring gears, fuel injection systems and parts, manifolds, positive crankcase ventilation (PCV) valves, mechanical pumps, and timing gears and chains. Both original and rebuilt equipment are included. Other gasoline engine equipment such as belts are classified outside of the industry, as are stationary gasoline

97 engines and parts of the same nature but not for use in motor vehicles. All diesel engines, including those used in motor vehicles, are classified in 333618. 33632 Motor Vehicle Electrical and Electronic Equipment. Vehicular lighting fixtures are no longer broken out into a 6-digit industry, and bulbs are classified elsewhere. Older products include washer pumps, alter- nators, generators, coils, , ignition cable sets, wiring harnesses, instrument control panels, spark plugs, starters, and block and battery heaters. (Motor vehicle batteries are classified in 335911.) Newer products include electronic sensors and control units (the latter are colloquially referred to as computers), actuators, and information and entertainment systems. Similar equipment not used with motor vehicles is classified elsewhere, as are car alarms, car stereos and electric motors – even those for electric vehicles. 33633 Motor Vehicle Steering and Suspension Components. Examples include steering wheels, columns and gear boxes, components, idler and control arms, drag links, rack and pinion steering assemblies, ball joints, struts, tie rod ends and shock absorbers. Springs, though, are fabricated metal products (332). 33634 Motor Vehicle Brake Systems. Parts include cylinders, drums, hose assemblies, calipers, pads, linings and shoes. Rubber and plastic hose and belting without fittings are classified in 326. 33635 Motor Vehicle Transmissions and Parts. Examples include various clutches; automatic and manual trans- missions; automated manual transmissions; axles, axle bearings, and their assemblies; differentials; torque converters; constant velocity and universal joints; and transaxles – the last combines axle, differential and transmission functions in front-engine-front-wheel-drive and rear-engine-rear-wheel-drive vehicles. Both original and rebuilt equipment are included. Non-motor vehicle power transmission equipment is classified elsewhere. 33636 Motor Vehicle Seating and Interior Trim. Seat belts, and and tire covers also are included. 33637 Motor Vehicle Metal Stampings. Examples include bumpers, fenders, hard tops and other body parts – even metal hub caps – as well as moldings and exterior trim. tops are classified in 33639. 33639 Other Motor Vehicle Parts. Examples include, but are not limited to, air bags, catalytic converters and ex- haust systems, convertible tops, fuel tanks, various filters, luggage and utility racks, framed mirrors, , resonators, radiators and cores, sunroofs, trailer hitches and tow bars, transmission coolers, wheel rims and windshield wipers. Heating-ventilation-air-conditioning (HVAC) systems are included, but are no longer a separate 6-digit industry. Both original and rebuilt equipment are included. Non-motor vehicle HVAC sys- tems are classified elsewhere.

98 The related industries:

32621 Tires. 326211 Tire Manufacturing, except retreading. Includes pneumatic, semi-pneumatic and solid tires, inner tubes, and repair materials. Most new tires are produced for motor vehicles. 326212 Tire retreading. The feature distinguishing this industry from tire repair service is the reliance on assembly line operations. Retreads are most commonly used by school buses and commercial trucks. These mar- kets are much smaller than the markets for passenger cars and non-commercial light trucks.

335911 Storage Batteries. In particular, lead-acid batteries smaller than 1.5 cubic feet.

99 GLOSSARY

A number of terms used in this report have fairly specific meanings. Motor vehicles includes a variety of products: cars, vans, sport-utility vehicles (SUVs), -utility vehicles (CUVs), buses, trucks of all sizes and motor homes. The basic industry division is between cars and light trucks, which are mass-market light vehicles overwhelmingly purchased by families and individuals (NAICS code 33611), and commercial trucks, etc., which are capital equipment mostly for or- ganizations (33612). Detailed discussions of the industry, though, divide trucks and buses into eight classes based on gross vehicle weight (GVW - the combined weight of the vehicle and its rated maximum payload), and then regroup the classes into the categories of light-, medium- and heavy-duty for presentations. The U.S. Dept. of Transportation’s Fed- eral Highway Administration uses the following groupings:

• Light-duty – classes 1-3, with GVWs of 14,000 lbs. or less; the vast majority of these are pickups, SUVs and minivans; • Medium-duty – classes 4-6, with GVWs ranging from 14,001 to 26,000 lbs.; • Heavy-duty – classes 7 and 8, with GVWs over 26,000 lbs. (Wikipedia, 2018).

Yet these groupings are somewhat arbitrary, as different analysts focus on market segments. Levy (2014) focused on cars and class-1-2 trucks (GVWs of 10,000 lbs. or less) as consumer goods; annual sales of the latter are in the millions, while class-3 trucks sales (more likely to organizations) are less than 300,000 – much closer to medium-duty numbers. Corridore (2014) limited his discussion of medium-duty trucks to classes 5-7 (GVWs of 16,001-33,000 lbs.), counting only class-8 trucks (GVWs greater than 33,000 lbs.) as heavy-duty. Ward’s (1991-2009) counts classes 4-7 as medium-duty and class-8 as heavy-duty. Medium-duty trucks are more likely to be specialized (fire trucks, school buses, etc.) or de- dicated to hauling specific types of freight (beverages, packages, etc.) (Savaskan, 2018), while heavy-duty trucks are more likely to haul a wide variety of freight. Finally, IBIS World analysts considers CUVs light trucks, perhaps because they are assembled on the same lines as light trucks, while Automotive News counts them as cars because they use car chassis. Data in this report follows Automotive News, counting CUVs as cars.

Assembler distinguishes motor vehicle manufacturers such as Ford, GM, Honda, or Kenworth from other companies mak- ing only the parts and modules comprising a vehicle. The latter are parts manufacturers or suppliers. Suppliers produce goods and modules for use either as original equipment (OE) or to be sold as replacement parts in the aftermarket (AM). Many do both to varying degrees. Parts makers also are grouped depending on their position in the supply chain. Tier-1 refers to those directly selling parts and sub-assemblies to assemblers. Tier-2 companies make parts or components for tier-1 companies, and tier-3 companies supply the raw materials to tier-1 and -2 companies. Powertrain is a generic term grouping engines, transmissions and other drive-train components. Accessories may be added to vehicles but are not necessary for operating vehicles; one example is caps for pickups.

100

Intentionally blank

101 DETAILED TABLES

102 Table A1: Leading and Notable Motor Vehicle Industry Employers in Ohio, 2018

Jobs~

Parent/Company/Division NAICS# City Total At Site

Adient plc^ (fka Delphi Automotive plc) 650 Adient Greenfield 33639 Greenfield 250 Adient Northwood 33636 Northwood 400 Ahresty Corp./Ahresty Wilmington Corp.^ 33152 Wilmington 840 Aisin Seiki Co., Ltd.*/Advics Mfg. Ohio, Inc.^ 33634 Lebanon 675 Aptiv plc^ 620 Aptiv 33639 Warren 500 Aptiv 33639 Vienna Twp. 120 ArcelorMittal SA*/ArcelorMittal Tailored Blanks^ 33637 Pioneer 83 ARE Accessories LLC1 336211 Massillon, others 550 Asahi Glass Co., Ltd.^ 695 AGC Automotive N. America, Inc. 32721 Bellefontaine 485 Belletech Corp. 32721 Bellefontaine 210 Autoneum Holding AG^ 650 Autoneum N. America, Inc. 33639 Oregon 350 UGN, Inc. (JV with Nihon Tokushu Toryo Co., Ltd.) 33639 Monroe 300 Berkshire Hathaway, Inc.*/Scott Fetzer Co. 222 Stahl 336212 Cardington 107 Stahl 336212 Wooster 115 Bosch GmbH*/Bosch Battery Systems LLC^ 335911 Springboro 35 Bridgestone Corp.*/Bridgestone APM Co.^ 326291 Upper Sandusky 800 Cooper Tire & Rubber Co.* (includes HQ)2 326211 Findlay 2,212 Cooper-Standard Automotive, Inc.* 652 Cooper-Standard Automotive, Inc. 33634 New Lexington 352 Cooper-Standard Automotive, Inc.3 32622 Bowling Green 300 Crown Battery Mfg. Co.4 335911 Fremont 579 Daimler AG*/Detroit Diesel Re-mfg.-East^ 333618 Byesville 463 Dana, Inc.* 2,196 Dana, Inc. 33635 Toledo 300 Dana, Inc. (HQ, including Technology Center)5 551112 Maumee 900 GKN Driveline N. America, Inc.^ 33635 Bowling Green 190 Oerlikon Metco^ 33635 Dayton 185 Spicer Driveshaft6 33635 Lima 621 Fiat Chrysler Automobiles NV*^ 6,800 FCA US LLC (North and South plants combined) 336112 Toledo 5,900 FCA US LLC 33639 Perrysburg 900 Hyundai Mobis Co., Ltd.*/Mobis N. America LLC 336112 Toledo 575

103 Table A1: Leading and Notable Motor Vehicle Industry Employers in Ohio, 2018

Jobs~

Parent/Company/Division NAICS# City Total At Site

Midea Group Co., Ltd.*/Kuka Toledo Production Operations LLC 336211 Toledo 355 3-company total for the Toledo assembly complex: 6,830 Flex-N-Gate Corp. >2,400 Ventra Salem LLC7 32619 Salem >500 Ventra Sandusky LLC8 33639 Sandusky 1,900 Ford Motor Co.*9 6,150 Ford Motor Co. 336112 Avon Lake 1,650 Ford Motor Co. 33631 Lima 1,270 Ford Motor Co. 33631 Brook Park 1,570 Ford Motor Co. 33635 Sharonville 1,660 F-Tech, Inc./F&P America Mfg., Inc.^ 33639 Troy 980 Fuyao Glass Industry Group Co., Ltd./Fuyao Glass America Inc.^ 32721 Moraine 2,000 General Motors Co.*9 6,490 General Motors Co. 33151-2 Defiance 1,128 General Motors Co.-Isuzu Motors (JV, 60% & 40%)/DMAX 333618 Moraine 796 General Motors Co. (includes stamping and painting facilities) 336111 Warren 1,500 General Motors Co. 33635 Toledo 1,722 General Motors Co. 33637 Parma 1,344 Goodyear Tire & Rubber Co.* (mostly HQ)10 326211 Akron 3,000 Grammer AG/Toledo Molding & Die, Inc.11 ~1,025 Toledo Molding and Die, Inc. (including divisional HQ and a mfg. plant) 32619 Toledo n.a. Toledo Molding and Die, Inc. 32619 Bowling Green n.a. Toledo Molding and Die, Inc.6 32619 Delphos 328 Toledo Molding and Die, Inc. 32619 Tiffin n.a. Toledo Molding and Die, Inc. (fka WEK) 32619 Jefferson n.a. G-TEKT Corp./Jefferson Industries Corp.^ 33637 W. Jefferson 600 Hitachi, Ltd.*/AAP St. Marys Corp.^ 33639 St. Marys 620 Honda Motor Co., Ltd.*^ 11,925 Cardington Yutaka Technologies, Inc. 33639 Cardington 725 Celina Aluminum Precision Technology, Inc. 33152 Celina 550 Honda of America Mfg., Inc. 336111 Marysville 4,000 Honda of America Mfg., Inc. 336112 E. Liberty 2,350 Honda of America Mfg., Inc. 33631 Anna 3,200 Honda Transmission Mfg. of America, Inc. 33635 Russells Point 1,100 Honda affiliates:^ 7,150 Autoliv Inc.*-Nissin Kogyo Co., Ltd. (JV, 51% & 49%) 920 Autoliv-Nissin Brake Systems 33634 Findlay 250 Nissin Brake of Ohio, Inc. 33634 Findlay 670 104 Table A1: Leading and Notable Motor Vehicle Industry Employers in Ohio, 2018

Jobs~

Parent/Company/Division NAICS# City Total At Site

Honda affiliates (continued):^ KTH Parts Industries, Inc. 1,575 Kalida Mfg., Inc. 33639 Kalida 475 KTH Parts Industries, Inc. 33639 St. Paris 1,100 Moriroku Holdings Co./Greenville Technology, Inc. 33639 Greenville 865 Nihon Plast Co., Ltd./Neaton Auto Parts Mfg., Inc. 33633 Eaton 925 Tanaka Seimitsu Kogyo Co., Ltd./FT Precision, Inc. 33631 Fredericktown 300 TS Tech Co., Ltd. 1,490 TriMold LLC 33639 Circleville 290 TS Tech USA Corp. 33639 Reynoldsburg 600 TS Trim Industries, Inc. 33636 Canal Winchester 600 Yachiyo Industry Co., Ltd. 375 AY Mfg., Ltd. 33639 Columbus 175 US Yachio, Inc. 33639 Marion 200 Yamada Mfg. Co., Ltd./Yamada N. America, Inc. 33633 S. Charleston 700 Idex Corp.* 346 Akron Brass Co. 33639 Wooster 300 Akron Brass Co./Weldon Technologies 33632 Columbus 46 Imasen Electric Industrial Co., Ltd./Imasen Bucyrus Technology, Inc.^ 33639 Bucyrus 560 INA Holding GmbH & Co. KG (fka Schaeffler)/LuK-Schaeffler Group USA, Inc.^ 33635 Wooster 1,770 Intl. Automotive Components Group SA^ 1,400 IAC Huron LLC 33639 Huron 750 IAC Wauseon LLC 33639 Wauseon 650 Johnson Controls Intl. plc^ 1,300 Johnson Controls Battery Group, Inc. 335911 Holland 480 Shanghai Automotive Industry Corp. (SAIC)* (JV)/Yanfeng US Automotive Interior Systems 33636 Bryan 320 Tachi-S Co., Ltd. (JV)/Setex, Inc. 33636 St. Marys 500 Kasai Kogyo Co., Ltd./Kasai N. America, Inc.^ 33637 Upper Sandusky 650 Knorr-Bremse AG/Bendix Commercial Vehicle Systems LLC^ 33634 Elyria 525 Lear Corp.* 33639 Hebron 50 MAC Trailer, Inc. 1,007 MAC LTT (Liquid Tank Trailers)12 336212 Kent 180 MAC Mfg., Inc.13 336212 Salem 332 MAC Trailer Mfg., Inc.9 336212 Alliance 475 Trailstar Mfg.12 336212 Alliance 20 Magna Intl., Inc.* 2,185 Magna Cosma Intl. (aka Vehtek)^ 33637 Bowling Green 750

105 Table A1: Leading and Notable Motor Vehicle Industry Employers in Ohio, 2018

Jobs~

Parent/Company/Division NAICS# City Total At Site

Magna Intl., Inc.* (continued) Magna Decoma Intl.^ 33637 Toledo 200 Magna Seating of America, Inc.^21 33636 Warren 100 Magna Seating of America, Inc.^ 33636 Sheffield Village 60 Norplas Industries, Inc.^ 33637 Northwood 1,000 Magna Intl. of America, Inc. (aka Alex Products, Inc.) 33636 Ridgeville Corners 45 Grammer AG (JV)/Gra-Mag Truck Interior Systems LLC^ 33636 London 30 Mahle GmbH^ 1,315 Mahle Behr Dayton LLC 33639 Dayton 1,200 Mahle Engine Components USA, Inc. 33631 Mcconnelsville 115 Midway Products Group, Inc. 580 Findlay Products Corp. 33637 Findlay 130 P & A Industries, Inc. 33637 Findlay 200 Progressive Stamping, Inc. 33637 Ottoville 250 Mitsubishi Electric Corp.*/Mitsubishi Electric Automotive America, Inc.^ 33632 Mason 675 Navistar Intl. Corp.*14 33612 Springfield 1,800 Paccar, Inc.*/Kenworth Div.9 33612 Chillicothe 1,950 Pacific Industrial Co., Ltd.^ 662 Pacific Industries USA, Inc. 33637-9 Fairfield 12 Pacific Mfg. Ohio, Inc. 33637-9 Fairfield 650 Parker-Hannifin Corp.* 33639 Wickliffe 271 Peugeot SA*^ 920 Faurecia USA Holdings, Inc. 33639 Franklin 365 Faurecia USA Holdings, Inc. 33639 Toledo 250 Faurecia USA Holdings, Inc. 33639 Troy 170 Faurecia SA-Bruce Smith (JV)/Detroit Mfg. Systems LLC 33639 Toledo 135 Sankei Giken Co., Ltd./Newman Technology, Inc.^ 33639 Mansfield 700 Sanoh Industrial Co., Ltd.^ 700 Sanoh America, Inc. 33299 Findlay 400 Sanoh America, Inc. 33299 Archbold 70 Sanoh America, Inc. 33639 Mt. Vernon 230 Shanghai Shenda Co., Ltd.-Intl. Automotive Components SA (JV)^ 900 Auria Solutions, Ltd. 33639 Fremont 315 Auria Solutions, Ltd. 33639 Holmesville 300 Auria Solutions, Ltd. 33639 Sidney 285 Shiloh Industries, Inc. (including HQ)15 33637 Valley City, Wellington >500

106 Table A1: Leading and Notable Motor Vehicle Industry Employers in Ohio, 2018

Jobs~

Parent/Company/Division NAICS# City Total At Site

Showa Corp.^ 1,135 American Showa, Inc. 33633 Blanchester 575 American Showa, Inc. 33633 Sunbury 560 Stanley Electric Co., Ltd./Stanley Electric US Co., Inc.^ 33632 London 1,500 Stoneridge, Inc.16 33632 Lexington 770 Sumitomo Riko Co., Ltd./SumiRiko Ohio (fka Tokai Rubber/DTR)^ 32622 Bluffton 610 Tenneco, Inc.* 678 Tenneco, Inc.17 33639 Napoleon 200 Tenneco, Inc.18 33639 Kettering 478 Thor Industries, Inc.*/Airstream, Inc.19 336213 Jackson Center 1,200 ThyssenKrupp AG*/ThyssenKrupp Bilstein of America, Inc.^ 33633 Hamilton 750 Tokai Kogyo Co., Ltd./Green Tokai Co, Ltd.^ 33639 Brookville 770 Tower Intl., Inc.* 646 Tower Automotive Operations4 336112 Bellevue 363 Tower Automotive Operations20 33637 Bluffton 283 Yamashita Rubber Co., Ltd./YUSA Corp.^ 32622 Washington C.H. 630 ZF Friedrichshafen AG/TRW^ 33634 Fayette 210

Abbreviations, notes and sources: aka - also known as; fka - formerly known as; HQ - headquarters; Intl. - International; JV - joint venture; mfg. - manufac- turing; n.a. - not available; NAICS - N. American Industry Classification System; # - non-industry NAICS codes are included if production is principally for motor vehicles; ~ - All jobs figures should be regarded as the best (or sometimes only) available estimates at the time of publication; D&B Hoovers (2018) is the source unless otherwise noted; * - a Fortune U.S.-1,000 or Global-500 company; ^ - jobs figure(s) from Office of Research (2018a); Johnson Controls International is selling its battery business to Brookfied Business Partners, a private equity firm (LaForest, 2018); 1 - jobs figure from Lexis-Nexis (2018); no more-specific data are available for the three establishments in Massillon, Mt. Eaton and Dundee; 2 - jobs figure from Wikipedia (2018) (found on the page for Findlay, Ohio); 3 - jobs figure from Rosenberg (2018); 4 - jobs figure from Sandusky Co. Economic Development Corp. (2018); 5 - jobs figure from WTOL (2018a) (also see WTOL (2018b)); 6 - jobs figure from The Lima News (2016); 7 - the category minimum from the Census Bureau (2018b); 8 - jobs figure from ELM Analytics (2018); 9 - jobs figure(s) from the company's website; 10 - jobs figure from Crain's Cleveland Business (2018a); 11 - Manta's (2018) approximate figure; 12 - jobs figure from The Alliance (2015); 13 - jobs figure from Salem News (2018); 14 - jobs figure from Sanctis (2018); 15 - no more-specific current data could be found for the company's four motor vehicle industry establishments, but older sources and inspection via Google Earth leave the impression the company has at least 500 employees in the industry; 16 - jobs figure from Mansfield News Journal (2017); 17 - jobs figure from Regional Growth Partnership (2017); 18 - jobs figure from Gnau (2017); more may be added in the near future (Jibrell and Szatkowski, 2018); 19 - jobs figure from Airstream Media (2018) is approximate; 20 - jobs figure from 4-Traders.com (2016); 21 - closing soon (Staff report, 2019).

Prepared by: Office of Research, Ohio Development Services Agency (ODSA) (DL, JK, 11/18).

107 Table A2: Expansion and Attraction Announcements in Ohio's Motor Vehicle Industry, 2014-2017

NAICS Announced Intended Year Parent/Co./Division County Code* Product Investments Jobs

2014 Airstream, Inc. Shelby 3362 Recreational vehicles $5,900,000 125 2014 Aisin Seiki Co., Ltd./Advics Mfg. Ohio, Inc. Warren 3363 Auto brakes $100,000,000 100 2014 Amanda Mfg. Hocking 3326 Auto stampings and rods $5,000,000 20 2014 Anchor Industries Cuyahoga 3321 Engine mounts $4,000,000 2014 Autoneum N. America, Inc. Lucas 3363 Auto insulation $2,000,000 100 2014 Borgers SE & Co. KGaA/Borgers Ohio, Inc. Huron 3363 Auto insulation $60,000,000 230 2014 Braun Industries, Inc. Van Wert 3361 Emergency vehicles $1,000,000 30 2014 Brown Industrial, Inc. Shelby 3362 Truck bodies $2,000,000 3 2014 Camaco LLC Lorain 3363 Auto seats 100 2014 Clarke Fire Protection Products, Inc. Hamilton 3336 Diesel engines $3,500,000 50 2014 Consolidated Metco, Inc. Ross 3315 Cast metal truck parts $1,300,000 55 2014 Crown Battery Mfg. Co. Sandusky 3359 Auto batteries $4,000,000 2014 Dana Holding Corp. Lucas 3363 Auto parts $28,600,000 50 2014 Dayton Molded Urethanes LLC Montgomery 3261 Auto products $1,500,000 80 2014 Ford Motor Co. Lorain 3361 Trucks and vans $40,000,000 2014 Freudenberg & Co. KG/Freudenberg-NOK Sealing Technologies Hancock 3361 Auto O rings $8,600,000 50 2014 F-Tech, Inc./F&P America Ltd. Miami 3363 Auto parts $2,500,000 2014 Fuyao Glass Industry Group Co., Ltd./Fuyao Glass America, Inc. Montgomery 3272 Auto glass $230,000,000 800 2014 General Motors Co. Lucas 3363 Transmissions $30,600,000 2014 General Motors Co. Cuyahoga 3363 Auto stampings $14,000,000 2014 General Motors Co.-Isuzu Motors Ltd./DMAX Ltd. Montgomery 3336 Truck diesel engines $60,000,000 2014 GerCo Holdings, Inc.-Intl. Tooling Solutions LLC/Artiflex Mfg. LLC Wayne 3363 Auto stampings $10,000,000 2014 Honda Motor Co., Ltd./Honda of America Mfg. Union 3361 Motor vehicles $3,500,000 2014 Hyundai Mobis Co., Ltd./Mobis N. America LLC Lucas 3361 Auto chassis systems $1,200,000 2014 Johnson Welded Products, Inc. Champaign 3363 Truck brake parts $1,000,000 2014 Keihin Corp./Keihin Thermal Technology of America , Inc. Madison 3363 HVAC auto parts $2,500,000 90 2014 Kimble Mfg. Co. Tuscarawas 3362 Auto parts $400,000 20 2014 Mac Trailer Enterprises, Inc. Stark 3362 Truck trailers $2,000,000 2014 Maca Plastics, Inc. Adams 3363 Auto parts $400,000 22 2014 Mfg. Business Development Solutions Wyandot 3363 Auto parts $1,000,000 40 2014 MH Eby Corp. Madison 3362 Trailers $1,000,000 12 2014 Mitsubishi Electric Corp./Mitsubishi Electric Automotive America, Inc. Warren 3363 Auto parts $32,100,000 2014 Nagata Co.-Segawa Co.-Marubeni Corp./Ohio Metal Technologies, Inc. Licking 3321 Auto $7,000,000 11 2014 Navistar, Inc. Clark 3361 Trucks and buses $28,000,000 2014 Nihon Tokushu Toryo Co., Ltd.-Autoneum Holding AG/UGN, Inc. Warren 3363 Auto parts $27,000,000 148 2014 Peugeot SA/Faurecia Emissions Control Technologies Lucas 3363 Auto exhaust systems $20,000,000 150 2014 Peugeot SA/Faurecia Emissions Control Technologies Warren 3363 Auto exhaust systems 120 2014 Pleasant Valley Teardrop Trailers, LLC Tuscarawas 3362 Trailers $1,900,000 2014 S&T Motiv Co., Ltd./S&T Automotive America LLC Franklin 3363 Shock absorbers $6,500,000 80 2014 Sankei Giken Co., Ltd./Newman Technology, Inc. Richland 3363 Auto parts $3,000,000 10 2014 Sankyo Kogyo Co., Ltd./SK Tech, Inc. Montgomery 3363 Auto electrical equipment $2,500,000 2014 Sekisui Chemical Co., Ltd./Sekisui Plastics USA, Inc. Hardin 3363 Plastic auto parts $7,800,000 50

108 Table A2: Expansion and Attraction Announcements in Ohio's Motor Vehicle Industry, 2014-2017

NAICS Announced Intended Year Parent/Co./Division County Code* Product Investments Jobs

2014 Teijin Ltd./Continental Structural Plastics, Inc. Wood 3261 Plastic auto parts $2,900,000 56 2014 ThyssenKrupp AG/Bilstein of America, Inc. Butler 3363 Auto parts $26,000,000 214 2014 Toledo Molding & Die, Inc. Wood 3261 Auto parts $8,000,000 28 2014 Tremcar Technologies, Inc./Tremcar USA, Inc. Tuscarawas 3362 Tank truck bodies 50 2014 Tremcar Technologies, Inc./Tremcar USA, Inc. Tuscarawas 3362 Tank truck bodies 25 2014 TS Tech Co., Ltd./TS Tech Americas, Inc. Franklin 3363 Auto parts $6,600,000 68 2014 Unique-Chardan, Inc. Williams 3363 Auto parts $400,000 30 2014 USUI Kokusai Sangyo Kaisha, Ltd./USUI Intl. Corp. Hamilton 3363 Auto parts 150 2014 Wilbert Plastic Services Sandusky 3261 Plastic auto parts $6,600,000 70 2014 Yamada Mfg. Co., Ltd./Yamada N. America, Inc. Clark 3363 Auto parts 40 2014 ZF TRW Automotive Holdings Corp. Fulton 3363 Auto brake parts 20

2014 Subtotals $813,800,000 3,297

2015 A-Brite LP Cuyahoga 3328 Auto part $18,000,000 104 2015 Airstream, Inc. Shelby 3362 Recreational vehicles 150 2015 Aisin Seiki Co., Ltd./Advics Mfg. Ohio, Inc. Warren 3363 Auto parts $150,000,000 260 2015 Akron Paint & Varnish Summit 3255 Auto paints and coatings 30 2015 Alex Products, Inc. Paulding 3363 Auto seat frames $2,400,000 30 2015 Amtek Group/Tekfor, Inc. Wayne 3321 Auto forgings $1,500,000 2015 Atsumitec Co., Ltd./Ada Technologies, Inc. Hardin 3363 Auto parts $7,000,000 20 2015 Autoliv Inc.-Nissin Kogyo Co., Ltd./Nissin Brake Ohio, Inc. Hancock 3363 Auto brake systems $37,000,000 2015 Autoparts Holdings Ltd./FRAM Group Operations LLC Darke 3363 Oil filters $5,400,000 30 2015 BASF SE/BASF Corp. Darke 3251 Auto coatings $4,000,000 50 2015 Core Molding Technologies, Inc. Franklin 3261 Plastic auto parts $2,000,000 2015 Corvac Composites LLC Highland 3261 Plastic auto parts $12,500,000 175 2015 Ford Motor Co. Hamilton 3363 Transmissions $900,000,000 2015 Ford Motor Co. Lorain 3361 Trucks and vans $250,000,000 2015 Ford Motor Co. Allen 3363 Engines and components $250,000,000 2015 Ford Motor Co. Cuyahoga 3363 Engines and components $150,000,000 2015 F-Tech, Inc./F&P America Ltd. Miami 3363 Auto parts $3,000,000 2015 Fuyao Glass Industry Group Co., Ltd./Fuyao Glass America, Inc. Montgomery 3272 Auto glass $130,000,000 750 2015 Galion-Godwin Truck Body Co. Holmes 3362 Dump truck bodies $3,700,000 40 2015 General Motors Co.-Isuzu Motors Ltd./DMAX Ltd. Montgomery 3363 Truck diesel engines $96,000,000 150 2015 GSW Mfg., Inc. Hancock 3363 Wiring harnesses 28 2015 GT Technologies, Inc. Lucas 3363 Valve train engine parts $22,200,000 24 2015 GT Technologies, Inc. Defiance 3363 Valve train engine parts $7,000,000 19 2015 Hanon Systems/Halla Visteon Climate Control Wyandot 3363 Auto parts $16,000,000 139 2015 Hirschvogel Holding GmbH/Hirschvogel, Inc. Franklin 3363 Forged auto parts $50,400,000 37 2015 Honda Motor Co., Ltd./Honda of America Mfg. Shelby 3363 Auto engines - VTEC $340,000,000 2015 Honda Motor Co., Ltd./Honda of America Mfg. Union 3361 Motor vehicles $210,000,000

109 Table A2: Expansion and Attraction Announcements in Ohio's Motor Vehicle Industry, 2014-2017

NAICS Announced Intended Year Parent/Co./Division County Code* Product Investments Jobs

2015 Honda Motor Co., Ltd./Honda of America Mfg. Logan 3361 Motor vehicles $85,000,000 2015 JR Mfg., Inc. Mercer 3363 Auto parts $2,800,000 30 2015 Knorr-Bremse AG/Bendix Commercial Vehicle Systems LLC Lorain 3363 Truck parts $50,000,000 45 2015 Mac Trailer Enterprises, Inc. Stark 3362 Specialty trailers $850,000 150 2015 Mancor Canada, Inc./Mancor Ohio, Inc. Ross 3362 Truck parts $80,000 21 2015 Midwest Acoust-a-Fiber, Inc. Delaware 3363 Auto insulation products $20,500,000 14 2015 Mitsubishi Electric Corp./Mitsubishi Electric Automotive America, Inc. Warren 3363 Auto parts $80,800,000 100 2015 Molten Corp./Molten N. America Corp. Hancock 3261 Plastic auto parts $3,500,000 14 2015 Navistar, Inc. Clark 3361 Trucks and buses $12,900,000 300 2015 Nitto Denko Corp./Nitto Denko Automotive Ohio, Inc. Miami 3363 Auto parts $1,200,000 2015 NPA Coatings, Inc. Cuyahoga 3255 Auto coatings $8,500,000 25 2015 Pentaflex, Inc. Clark 3321 Truck stampings $4,100,000 40 2015 Roki Holdings Co., Ltd./Roki America Co., Ltd. Hancock 3363 Auto parts $4,000,000 2015 Schaeffler INA Holding GmbH & Co. KG/LuK-Schaeffler Group USA LLC Wayne 3363 Auto transmission parts $38,500,000 100 2015 Taiho Kogyo Co., Ltd./Taiho Corp. of America Seneca 3363 Auto parts $8,000,000 50 2015 Tigers Polymer Corp.Tigerpoly Mfg., Inc. Franklin 3261 Plastic auto parts $5,000,000 2015 Tokai Kogyo Co., Ltd./Green Tokai Co., Ltd. Montgomery 3363 Auto parts $9,400,000 15 2015 Tokai Kogyo Co., Ltd./Green Tokai Co., Ltd. Montgomery 3363 Auto parts $3,700,000 2015 Tower Intl. Sandusky 3363 Auto stampings $32,000,000 138 2015 Tramec Sloan LLC Crawford 3363 Brake assemblies $2,000,000 90 2015 Valeo SA/Valeo N. America, Inc. Logan 3363 Auto parts $14,000,000 85 2015 VisTech Mfg. Solutions Butler 3363 Auto parts assembly, sewing $240,000 19 2015 Vitatoe Industries, Inc. Ross 3362 Auto and truck parts $1,100,000 25 2015 Yamada Mfg. Co., Ltd./Yamada N. America, Inc. Clark 3363 Auto parts $15,200,000 100 2015 Yanagawa Seiki Co., Ltd./YSK Corp. Ross 3363 Auto parts $12,500,000

2015 Subtotals $3,083,970,000 3,397

2016 Airstream, Inc. Shelby 3362 Campers - Nest $3,000,000 50 2016 AJ Rose Mfg. Co. Lorain 3363 Metal stamping $1,500,000 2016 Alex Products, Inc. Henry 3363 Auto seat frames $5,000,000 115 2016 Alex Products, Inc. Henry 3363 Auto seat frames $2,200,000 100 2016 Armor All-STP Products Co./STP Products Mfg. Co. Montgomery 3251 Auto additives $33,000,000 242 2016 Autoliv Inc.-Nissin Kogyo Co., Ltd./Nissin Brake Ohio, Inc. Hancock 3363 Auto brake systems $7,600,000 2016 Brown Co. Hancock 3363 Auto parts $1,200,000 2016 Cooper-Standard Automotive, Inc. Wood 3363 Rubber auto parts $5,300,000 35 2016 Dana Holding Corp./Dana Light Axle Mfg. LLC Lucas 3363 Auto parts $65,000,000 300 2016 Detroit Mfg. Systems LLC Lucas 3363 Auto parts 240 2016 ElectroCraft Ohio, Inc. Gallia 3363 Small motors $300,000 30 2016 Ernst Metal Technologies Montgomery 3363 Auto parts $1,700,000 21 2016 Fiat Chrysler Automobiles NV/FCA US LLC Lucas 3361 Light trucks $429,000,000 679

110 Table A2: Expansion and Attraction Announcements in Ohio's Motor Vehicle Industry, 2014-2017

NAICS Announced Intended Year Parent/Co./Division County Code* Product Investments Jobs

2016 Ford Motor Co. Hamilton 3363 Transmissions $900,000,000 2016 Ford Motor Co. Allen 3363 Engines and components $250,000,000 2016 Ford Motor Co. Cuyahoga 3363 Engines and components $145,000,000 2016 Ford Motor Co. Lorain 3362 Truck cabs $110,000,000 400 2016 Fuserashi Co., Ltd./Fuserashi Intl. Technology, Inc. Medina 3363 Auto fasteners $8,000,000 20 2016 Fuyao Glass Industry Group Co., Ltd./Fuyao Glass America, Inc. Montgomery 3272 Auto glass $1,000,000 2016 Fuyao Glass Industry Group Co., Ltd./Fuyao Glass America, Inc. Montgomery 3272 Auto glass 2016 General Motors Co. Cuyahoga 3363 Auto stampings $218,000,000 2016 General Motors Co. Lucas 3363 Transmissions $650,000,000 2016 GSW Mfg., Inc. Hancock 3363 Wiring harnesses $400,000 23 2016 Honda Motor Co., Ltd./Honda of America Mfg. Union 3361 Data integrity center $41,000,000 25 2016 KTH Parts Industries, Inc. Champaign 3361 Auto subassemblies $28,100,000 20 2016 KTH Parts Industries, Inc./Kalida Mfg., Inc. Putnam 3363 Auto parts 30 2016 Leyman Mfg. Corp Hamilton 3363 Lift gates 2016 Magna Intl., Inc./Magna Seating of America, Inc. Lorain 3363 Auto seating $2,300,000 30 2016 Mitec Automotive AG/Mitec Powertrain, Inc. Hancock 3363 Auto parts 26 2016 Navistar, Inc. Clark 3361 Vans 300 2016 Navistar, Inc. Greene 3361 Truck parts 50 2016 Paccar, Inc./Kenworth Truck Co. Ross 3362 Heavy duty trucks $17,000,000 2016 Pacific Industrial Co., Ltd./Pacific Mfg. Ohio, Inc. Butler 3363 Auto parts $50,100,000 62 2016 Piston Automotive LLC Lucas 3363 Auto parts and systems $6,000,000 2016 Pleasant Valley Teardrop Trailers, LLC Tuscarawas 3362 Trailers $3,650,000 40 2016 Production Products, Inc. Putnam 3363 Stamped auto parts $20,000,000 24 2016 Roki Holdings Co., Ltd./Roki America Co., Ltd. Hancock 3363 Filters $1,500,000 113 2016 Saf-Holland SA/Saf-Holland, Inc. Butler 3363 Truck parts $100,000 30 2016 Sankei Giken Co., Ltd./Newman Technology, Inc. Richland 3363 Auto parts $7,000,000 5 2016 Sankyo Kogyo Co., Ltd./SK Tech, Inc. Montgomery 3363 Auto seat parts $1,250,000 25 2016 Sanoh Industrial Co., Ltd./Sanoh America, Inc. Hancock 3363 Brake and fuel tubing $1,500,000 12 2016 Schaeffler INA Holding GmbH & Co. KG/LuK-Schaeffler Group USA LLC Wayne 3363 Auto parts $61,500,000 250 2016 Tenneco, Inc. Montgomery 3363 Auto parts $98,500,000 483 2016 ThyssenKrupp AG/Bilstein of America, Inc. Butler 3363 Shock absorbers $1,700,000 5 2016 ZF TRW Automotive Holdings Corp. Fulton 3363 Auto brake systems $34,000,000 35

2016 Subtotals $3,212,400,000 3,820

2017 Autoliv Inc.-Nissin Kogyo Co., Ltd./Nissin Brake Systems LLC Hancock 3363 Auto brakes $61,100,000 2017 BASF SE/BASF Corp. Darke 3251 Auto coatings $25,000,000 12 2017 Borgers SE & Co. KGaA/Borgers Ohio, Inc. Huron 3363 Auto insulation $13,000,000 80 2017 Bulten N. America LLC Summit 3399 Auto fasteners $9,000,000 2017 Busche Performance Group, Inc. Williams 3363 Auto parts $16,400,000 125 2017 Camaco LLC Lorain 3363 Auto seat frames $10,890,000 200

111 Table A2: Expansion and Attraction Announcements in Ohio's Motor Vehicle Industry, 2014-2017

NAICS Announced Intended Year Parent/Co./Division County Code* Product Investments Jobs

2017 Carlisle Brake & Friction, Inc. Medina 3363 Auto brakes $18,000,000 70 2017 Cooper-Standard Automotive, Inc. Perry 3363 Brake line assemblies 50 2017 Farber Specialty Vehicles, Inc. Franklin 3361 Specialty motor vehicles $6,700,000 20 2017 Few Automotive Group/Few Automotive Glass Applications, Inc. Wayne 3279 Auto glass $2,500,000 37 2017 Fine Sinter Co., Ltd./American Fine Sinter Co., Ltd. Seneca 3363 Auto engine parts $20,000,000 25 2017 Flex Technologies, Inc. Wayne 3363 Auto parts assembly $2,500,000 30 2017 G-Tekt Corp./Jefferson Industries Corp. Madison 3363 Auto stampings $16,000,000 20 2017 Hematite, Inc. Montgomery 3363 Auto systems $18,000,000 100 2017 Honda Motor Co., Ltd./AY Mfg. Ltd. Franklin 3363 Auto parts $1,750,000 2017 Honda Motor Co., Ltd./Honda of America Mfg. Union 3361 Motor vehicles $220,000,000 300 2017 Honda Motor Co., Ltd./Honda of America Mfg. Logan 3363 Transmissions $49,000,000 2017 Honda Motor Co., Ltd./Honda of America Mfg. Shelby 3363 Auto engines $47,000,000 100 2017 Johnson Electric Holding Ltd./Johnson Electric N. America, Inc. Montgomery 3363 Auto parts $3,500,000 76 2017 Maumee Assembly & Stamping, LLC Lucas 3363 Auto stampings $2,500,000 50 2017 MEK Van Wert, Inc. Van Wert 3363 Machined auto parts $5,000,000 30 2017 Mitec Automotive AG/Mitec Powertrain, Inc. Hancock 3363 Auto parts 80 2017 Nelson Mfg. Co. Putnam 3362 Truck trailers $1,400,000 2 2017 Nifco, Inc./Nifco America Corp. Fairfield 3261 Plastic auto parts $3,100,000 12 2017 Northern Stamping Co. Cuyahoga 3363 Auto stampings $19,500,000 45 2017 O'Gara Group, Inc. Butler 3361 Armored vehicles $400,000 81 2017 Roechling SE & Co. KG/Roechling Automotive USA LLP Summit 3261 Plastic auto parts $3,500,000 12 2017 Sanoh Industrial Co., Ltd./Sanoh America, Inc. Fulton 3363 Auto parts $1,400,000 10 2017 Synergy Mfg. LLC Pike 3261 Plastic auto parts $1,300,000 49 2017 Teijin Ltd./Continental Structural Plastics, Inc. Wood 3261 Plastic auto parts $75,700,000 186 2017 Tenneco, Inc. Henry 3363 Auto parts $3,500,000 18 2017 Titan Bus LLC Putnam 3361 School buses $3,000,000 2017 Topre America Corp. Clark 3363 Auto parts $46,550,000 85 2017 Treves, Inc. Seneca 3363 Auto interior parts $11,400,000 91

2017 Subtotals $718,590,000 1,996

Grand Totals 2014-2017: $7,828,760,000 12,510

Notes and abbreviations: * - Establishments with NAICS codes outside of the industry definition are included here when their products are made for motor vehicles; Intl. - International; Mfg. - Manufacturing.

Sources: Bloomberg (2018), Office of Research, ODSA (2018a, 2015b-2018b).

Prepared by: Office of Research, Ohio Development Services Agency (ODSA) (DL, JK, 8/18).

112 Table A3: Motor Vehicle Industry Concentration in Ohio

From Ohio Amount Distribu- U.S. Totals Ohio as Per- Year, Subject & NAICS Codes Industry Title1 (millions) tion in Ohio (millions) cent of U.S. 2016 GDP: Total $624,372 $18,509,998 3.4% 3361-32 Motor Vehicle Industry (part) $13,708 $166,257 8.2% 2016 Value-Added: 3361-3 2 Motor Vehicle Industry (part) $16,077 100.0% $181,174 8.9% 3361 MV Assembly $5,366 33.4% $82,224 6.5% 3362 MV Bodies & Trailers $570 3.5% $14,830 3.8% 3363 MV Parts $10,140 63.1% $84,120 12.1% 2012 Value-Added: Motor Vehicle Industry (summary) $15,179 100.0% $151,220 10.0% 3361-3 Motor Vehicle Industry (part) $14,475 95.4% $140,427 10.3% 3361 MV Assembly $6,237 41.1% $59,589 10.5% 336113 Automobile & Light Duty MV $5,138 33.9% $54,348 9.5% 33612 Heavy Duty Trucks $1,099 7.2% $5,240 21.0% 33623 MV Bodies & Trailers $371 2.4% $10,826 3.4% 3363 MV Parts $7,867 51.8% $70,012 11.2% 33631 MV Gas Engines & Engine Parts $568 3.7% $9,011 6.3% 33632 MV Electrical & Electronic Eqpt. $712 4.7% $6,396 11.1% 33633 MV Steering & Suspension Parts $301 2.0% $3,909 7.7% 33634 MV Brake Systems $475 3.1% $4,010 11.8% 33635 MV Transmission & Power Train Parts $1,543 10.2% $11,356 13.6% 33636 MV Seating & Interior Trim $687 4.5% $5,378 12.8% 33637 MV Metal Stamping $1,860 12.3% $10,868 17.1% 33639 Other MV Parts $1,721 11.3% $19,084 9.0% 32621 & 335911 Related Non-transportation Industries $704 4.6% $10,792 6.5% 32621 Tires $579 3.8% $7,748 7.5% 326211 Tire Mfg. (Exc. Retreading) $552 3.6% $7,265 7.6% 326212 Tire Retreading $27 0.2% $484 5.6% 335911 Storage Batteries4 $125 0.8% $3,044 4.1%

Notes: 1 - Abbreviations: Eqpt. - equipment; Exc. - except; GDP - gross domestic product; Mfg. - manufacturing; MV -motor vehicle(s); 2 - Value- added figures are greater than GDP figures because the latter excludes costs of purchased services; 3 - Six-digit industry data for Ohio sup- pressed to maintain confidentiality; 4 - Five-digit value-added figure for Ohio was used as proxy for the suppressed six-digit figure; given that the two primary battery plants (NAICS 335912) in Ohio employed 46 people (or 4.0 percent) out of a total of 1,162 for all battery production, the $125 million figure is a slight over-statement. Sources: U.S. Bureau of the Census (2015c, 2018a), U.S. Bureau of Economic Analysis (2018a).

Prepared by: Office of Research, Ohio Development Services Agency (ODSA) (DL, 8/18).

113 Table A4a: Detailed Light Vehicle Production in Ohio, 2013-2018

2018* 2017 2016 2015 2014 2013

Company: Assembly Type Percent Percent Percent Percent Percent Percent City Vehicles of Pro- Vehicles of Pro- Vehicles of Pro- Vehicles of Pro- Vehicles of Pro- Vehicles of Pro- Nameplate and Model Produced duction Produced duction Produced duction Produced duction Produced duction Produced duction Notes

Total Light Vehicles 1,157,733 100.0% 1,176,279 100.0% 1,441,004 100.0% 1,592,827 100.0% 1,566,751 100.0% 1,456,118 100.0% Total Cars 523,254 45.2% 523,730 44.5% 649,716 45.1% 739,018 46.4% 741,588 47.3% 802,292 55.1% Total Light Trucks 634,479 54.8% 652,549 55.5% 791,288 54.9% 853,809 53.6% 825,163 52.7% 653,826 44.9%

FCA: SUVs 325,091 28.1% 364,762 31.0% 501,915 34.8% 564,934 35.5% 511,466 32.6% 295,997 20.3% Two adjacent SUV plants. Toledo North: 265,826 23.0% 85,933 7.3% 251,968 17.5% 302,257 19.0% 275,518 17.6% 72,958 5.0% Jeep Cherokee 0 0.0% 78,869 6.7% 251,968 17.5% 302,257 19.0% 275,518 17.6% 72,958 5.0% Cherokees moved out ot state by 4/17. Jeep Wrangler 265,826 23.0% 7,064 0.6% 0 0.0% 0 0.0% 0 0.0% 0 0.0% JL model production starts 1/18. Toledo Supplier Park: 59,265 5.1% 278,829 23.7% 249,947 17.3% 262,677 16.5% 235,948 15.1% 223,039 15.3% JK model production ended 4/18; Jeep Jeep Wrangler 15,471 1.3% 71,511 6.1% 64,980 4.5% 67,081 4.2% 60,861 3.9% 67,431 4.6% pickup production may start by 1/19. Jeep Wrangler Unlimited 43,794 3.8% 207,318 17.6% 184,967 12.8% 195,596 12.3% 175,087 11.2% 155,608 10.7%

Ford: Trucks 52,617 4.5% 57,269 4.9% 55,275 3.8% 52,847 3.3% 105,487 6.7% 132,390 9.1% Most van production moved out-of-state after Avon Lake (aka Ohio Assembly): 52,617 4.5% 57,269 4.9% 55,275 3.8% 52,847 3.3% 105,487 6.7% 132,390 9.1% 6/14; truck cab and medium-duty production Econoline vans & chassis 52,617 4.5% 57,269 4.9% 55,275 3.8% 52,847 3.3% 105,487 6.7% 132,390 9.1% added in 2015, but not included here.

GM: Cars 134,107 11.6% 143,492 12.2% 212,158 14.7% 273,227 17.2% 286,306 18.3% 292,959 20.1% Turbo diesel version added in 2016. Lordstown: 134,107 11.6% 143,492 12.2% 212,158 14.7% 273,227 17.2% 286,306 18.3% 292,959 20.1% New fascia and new features added for Chevrolet Cruze 134,107 11.6% 143,492 12.2% 212,158 14.7% 273,227 17.2% 286,306 18.3% 292,959 20.1% the 2019 models.

Honda: Light Vehicles 645,918 55.8% 610,756 51.9% 671,656 46.6% 701,819 44.1% 663,492 42.3% 734,772 50.5% Production of non-gasoline powered vehicles Car Subtotal 389,147 33.6% 380,238 32.3% 437,558 30.4% 465,791 29.2% 455,282 29.1% 509,333 35.0% is ending or being reduced, but the Insight's SUV Subtotal 256,771 22.2% 230,518 19.6% 234,098 16.2% 236,028 14.8% 208,210 13.3% 225,439 15.5% battery pack to be assembled in Marysville. E. Liberty--Light Vehicles: 232,182 20.1% 230,518 19.6% 234,098 16.2% 241,193 15.1% 221,289 14.1% 242,363 16.6% Acura MDX--SUV 63,296 5.5% 24,243 2.1% 0 0.0% 0 0.0% 0 0.0% 0 0.0% Production transferred from 2/17. Acura RDX--SUV 73,975 6.4% 56,979 4.8% 67,472 4.7% 60,044 3.8% 60,026 3.8% 57,007 3.9% 2019 model will be extensively redesigned. Crosstour--Car 0 0.0% 0 0.0% 0 0.0% 5,165 0.3% 13,079 0.8% 16,924 1.2% Production ended summer, 2015. CR-V--SUV 94,911 8.2% 149,296 12.7% 166,626 11.6% 175,984 11.0% 148,184 9.5% 168,432 11.6% A new should be available. Marysville--Light Vehicles: 413,736 35.7% 380,238 32.3% 437,558 30.4% 460,626 28.9% 442,203 28.2% 492,409 33.8% Accord--Car 343,193 29.6% 327,425 27.8% 378,393 26.3% 379,385 23.8% 401,423 25.6% 466,695 32.1% Acura ILX--Car 12,250 1.1% 9,808 0.8% 15,297 1.1% 28,017 1.8% 68 0.0% 0 0.0% Acura NSX--Car^ 432 0.0% 925 0.1% 712 0.0% 0 0.0% 0 0.0% 0 0.0% High performance luxury sports started 5/16. Acura TL--Car 0 0.0% 0 0.0% 0 0.0% 0 0.0% 3,765 0.2% 25,714 1.8% TL production ended 3/14. Acura TLX--Car 33,272 2.9% 42,080 3.6% 43,156 3.0% 53,224 3.3% 36,947 2.4% 0 0.0% TLX production started 7/14. CR-V--SUV 24,589 2.1% 0 0.0% 0 0.0% 0 0.0% 0 0.0% 0 0.0% Started 7/18.

Notes and abbreviations: * - Initial, subject to revision; ^ - Actually assembled at the adjacent Performance Manufacturing Center near Marysville; aka - also known as; SUV - .

Source: Automotive News (2015-2019).

Prepared by: Office of Research, Ohio Development Services Agency (ODSA) (DL, 1/19).

114 Table A4b: Summary Light Vehicle Production in Ohio, 2008-2018

Company and Type 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018*

Ohio Totals: Cars 854,209 394,333 511,310 565,851 745,381 802,292 741,588 739,018 649,716 523,730 523,254 Light Trucks 629,877 389,129 592,222 595,698 627,227 653,826 825,163 853,809 791,288 652,549 634,479 Total Light Vehicles 1,484,086 783,462 1,103,532 1,161,549 1,372,608 1,456,118 1,566,751 1,592,827 1,441,004 1,176,279 1,157,733

FCA: Cars 0 0 0 0 0 0 0 0 0 0 0 SUVs 248,484 143,885 236,658 269,131 275,003 295,997 511,466 564,934 501,915 364,762 325,091 Total Light Vehicles 248,484 143,885 236,658 269,131 275,003 295,997 511,466 564,934 501,915 364,762 325,091

Ford: Cars 0 0 0 0 0 0 0 0 0 0 0 Vans 126,640 88,054 121,471 133,850 135,231 132,390 105,487 52,847 55,275 57,269 52,617 Total Light Vehicles 126,640 88,054 121,471 133,850 135,231 132,390 105,487 52,847 55,275 57,269 52,617

GM: Cars 308,015 87,917 158,099 281,810 279,382 292,959 286,306 273,227 212,158 143,492 134,107 SUVs 103,364 10 0 0 0 0 0 0 0 0 0 Total Light Vehicles 411,379 87,927 158,099 281,810 279,382 292,959 286,306 273,227 212,158 143,492 134,107

Honda: Cars 546,194 306,416 353,211 284,041 465,999 509,333 455,282 465,791 437,558 380,238 389,147 SUVs 151,389 157,180 234,093 192,717 216,993 225,439 208,210 236,028 234,098 230,518 256,771 Total Light Vehicles 697,583 463,596 587,304 476,758 682,992 734,772 663,492 701,819 671,656 610,756 645,918

Note: * - Initial, subject to revision.

Sources: Automotive News (2010-2019), Wards (2009).

Prepared by: Office of Research, Ohio Development Services Agency (ODSA) (DL, 1/19).

115 Table A5: Motor Vehicle Industry Establishments and Employment, Ohio and the U.S., 2016

Ohio as a Per- Ohio U.S. centage of the U.S.

2012 NAICS Estab- Employ- Estab- Employ- Estab- Employ- Codes Shorter Industry Title lishments ment Mean lishments ment Mean lishments ment

11-81 Total (Private Sector, exc. Farm & Railroad) 252,201 4,790,178 19.0 7,757,807 126,752,238 16.3 3.3% 3.8%

32621-3363 Motor Vehicle (MV) Industry 573 102,762 179.3 7,798 973,782 124.9 7.3% 10.6%

3361-3 Transportation Eqpt. Subtotal 539 98,126 182.1 7,165 901,888 125.9 7.5% 10.9%

3361 MV Assembly 24 20,785 866.0 337 198,039 587.7 7.1% 10.5% 33611 Cars & Light Trucks 15 17,337 1,155.8 258 167,566 649.5 5.8% 10.3% 33612 Medium- & Heavy-Duty Trucks 9 3,448 383.1 79 30,473 385.7 11.4% 11.3%

3362 MV Bodies & Trailers 91 6,135 67.4 1,880 143,649 76.4 4.8% 4.3% 336211 MV Bodies 40 2,752 68.8 722 46,419 64.3 5.5% 5.9% 336212 Truck Trailers 27 1,607 59.5 426 33,924 79.6 6.3% 4.7% 336213-4 Motor Homes, Trailers & Campers^ 24 1,776 74.0 732 63,306 86.5 3.3% 2.8%

3363 MV Parts 424 71,206 167.9 4,948 560,200 113.2 8.6% 12.7% 33631 MV Gas Engines & Engine Parts 51 5,935 116.4 819 59,267 72.4 6.2% 10.0% 33632 MV Electrical & Electronic Eqpt. 24 8,490 353.8 639 60,542 94.7 3.8% 14.0% 33633 MV Steering & Suspension Parts 20 3,852 192.6 257 36,768 143.1 7.8% 10.5% 33634 MV Brake Systems 25 3,088 123.5 178 21,657 121.7 14.0% 14.3% 33635 MV Transmission & Power Train Parts 29 11,118 383.4 488 70,477 144.4 5.9% 15.8% 33636 MV Seating & Interior Trim 34 9,193 270.4 410 67,283 164.1 8.3% 13.7% 33637 MV Metal Stamping 139 16,495 118.7 764 102,257 133.8 18.2% 16.1% 33639 Other MV Parts 102 13,035 127.8 1,393 141,949 101.9 7.3% 9.2%

32621-335911 Related Industries Subtotal 34 4,636 136.4 633 71,894 113.6 5.4% 6.4%

32621 Tires 30 3,445 114.8 482 51,098 106.0 6.2% 6.7% 326211 Tire Mfg. (Exc. Retreading) 9 3,163 351.4 110 44,843 407.7 8.2% 7.1% 326212 Tire Retreading 21 282 13.4 372 6,255 16.8 5.6% 4.5% 335911 Storage Batteries 4 1,191 297.8 151 20,796 137.7 2.6% 5.7%

Notes: Abbreviations: Eqpt. - equipment; Exc. - except; Mfg. - manufacturing; MV - motor vehicle. General Motor's (GM's) foundry in Defiance and its diesel engine plant in Dayton, as well as Daimler's diesel engine plant in Byesville, are excluded because their NAICS codes (3315 and 333618) are not part of the industry definition, and there is no ready comparison to the national summary of such dedicated plants. Conversely, a few non-motor vehicle tire and/or battery manufacturers are included to facilitate the Ohio-U.S. comparisons. ^ - The overwhelming majority of establishments and employment are in the 336214 - Trailers and Campers.

Sources: U.S. Bureau of the Census (2018b).

Prepared by: Office of Research, Ohio Development Services Agency (ODSA) (DL, 8/18).

116 Table A6: Motor Vehicle Industry Employment and Pay, Ohio and the U.S., 2016

Ohio U.S. Ohio Means 2012 NAICS Employ- Payroll Employ- Payroll as a Percent of Codes Shorter Industry Title ment in millions Mean ment in millions Mean U.S. Means

11-81 Total (Private Sector, exc. Farm & Railroad) 4,790,178 $218,466.7 $45,607 126,752,238 $6,435,142.1 $50,769 89.8%

32621-3363 Motor Vehicle (MV) Industry 102,762 $6,234.4 $60,668 973,782 $58,037.3 $59,600 101.8%

3361-3 Transportation Eqpt. Subtotal 98,126 $5,932.3 $60,456 901,888 $53,826.0 $59,681 101.3%

3361 MV Assembly 20,785 $1,598.9 $76,925 198,039 $17,074.8 $86,219 89.2% 33611 Cars & Light Trucks 17,337 $1,374.3 $79,268 167,566 $15,306.0 $91,343 86.8% 33612 Medium- & Heavy-Duty Trucks 3,448 $224.6 $65,140 30,473 $1,768.8 $58,045 112.2%

3362 MV Bodies & Trailers 6,135 $306.8 $50,009 143,649 $6,791.3 $47,277 105.8% 336211 MV Bodies 2,752 $145.0 $52,691 46,419 $2,256.8 $48,618 108.4% 336212 Truck Trailers 1,607 $66.5 $41,378 33,924 $1,414.7 $41,701 99.2% 336213-4 Motor Homes, Trailers & Campers 1,776 $95.3 $53,664 63,306 $3,119.8 $49,282 108.9%

3363 MV Parts 71,206 $4,026.7 $56,549 560,200 $29,959.9 $53,481 105.7% 33631 MV Gas Engines & Engine Parts 5,935 $423.9 $71,417 59,267 $3,868.3 $65,270 109.4% 33632 MV Electrical & Electronic Eqpt. 8,490 $512.7 $60,385 60,542 $3,226.4 $53,292 113.3% 33633 MV Steering & Suspension Parts 3,852 $193.0 $50,094 36,768 $1,863.1 $50,673 98.9% 33634 MV Brake Systems 3,088 $151.6 $49,101 21,657 $1,075.4 $49,657 98.9% 33635 MV Transmission & Power Train Parts 11,118 $817.3 $73,510 70,477 $4,369.9 $62,004 118.6% 33636 MV Seating & Interior Trim 9,193 $382.9 $41,655 67,283 $3,095.4 $46,006 90.5% 33637 MV Metal Stamping 16,495 $911.1 $55,235 102,257 $5,637.6 $55,132 100.2% 33639 Other MV Parts 13,035 $634.2 $48,655 141,949 $6,823.7 $48,072 101.2%

32621-335911 Related Industries Subtotal 4,636 $302.1 $65,156 71,894 $4,211.3 $58,577 111.2%

32621 Tires 3,445 $230.3 $66,850 51,098 $2,979.5 $58,309 114.6% 326211 Tire Mfg. (Exc. Retreading) 3,163 $218.8 $69,161 44,843 $2,727.3 $60,819 113.7% 326212 Tire Retreading 282 $11.5 $40,933 6,255 $252.1 $40,311 101.5% 335911 Storage Batteries 1,191 $71.8 $60,254 20,796 $1,231.8 $59,235 101.7%

Notes: Abbreviations: Eqpt. - equipment; Exc. - except; Mfg. - manufacturing; MV - motor vehicle. General Motor's (GM's) foundry in Defiance and its diesel engine plant in Dayton, as well as Daimler's diesel engine plant in Byesville, are excluded because their NAICS codes (3315 and 333618) are not part of the industry definition, and there is no ready comparison to the national summary of such dedicated plants. Conversely, a few non-motor vehicle tire and/or battery manufacturers are included to facilitate the Ohio-U.S. comparisons. ^ - The overwhelming majority of establishments and employment are in the 336214 - Trailers and Campers.

Sources: U.S. Bureau of the Census (2018b).

Prepared by: Office of Research, Ohio Development Services Agency (ODSA) (DL, 8/18).

117 Table A7: Establishments and Estimated Employment in Ohio's Motor Vehicle Industry by County, 2016

Estab- Employ- Estab- Employ- Estab- Employ- Area Name lishments ment* Area Name lishments ment* Area Name lishments ment*

Ohio 578 107,455 Greene 1 333 Morrow 3 756 Guernsey^ 3 826 Muskingum 0 0 Adams 0 0 Hamilton 10 2,316 Noble 0 0 Allen 7 2,064 Hancock 16 4,764 Ottawa 3 37 Ashland 0 0 Hardin 2 500 Paulding 4 175 Ashtabula 7 90 Harrison 0 0 Perry 0 0 Athens 0 0 Henry 3 478 Pickaway 1 333 Auglaize 6 1,360 Highland 2 81 Pike 1 333 Belmont 2 145 Hocking 0 0 Portage 5 842 Brown 1 143 Holmes 4 74 Preble 4 788 Butler 9 1,807 Huron 3 216 Putnam 5 1,510 Carroll 1 3 Jackson 1 28 Richland 10 1,572 Champaign 4 1,215 Jefferson 2 22 Ross 6 2,379 Clark 15 2,575 Knox 4 688 Sandusky 9 1,436 Clermont 7 295 Lake 11 500 Scioto 1 3 Clinton^ 2 1,231 Lawrence 0 0 Seneca 5 668 Columbiana 8 747 Licking 7 1,458 Shelby 11 4,089 Coshocton 1 3 Logan 4 3,549 Stark 17 984 Crawford 6 804 Lorain 18 2,853 Summit 23 1,578 Cuyahoga 59 5,102 Lucas 26 9,666 Trumbull 13 6,055 Darke 5 614 Madison 6 2,401 Tuscarawas 9 298 Defiance^ 5 1,917 Mahoning 5 94 Union 2 4,003 Delaware 5 755 Marion 7 504 Van Wert 3 415 Erie 5 2,531 Medina 14 718 Vinton 0 0 Fairfield 6 172 Meigs 0 0 Warren 11 2,517 Fayette 2 145 Mercer^ 4 1,177 Washington 1 3 Franklin 30 2,387 Miami 7 1,068 Wayne 14 3,384 Fulton 7 1,522 Monroe 0 0 Williams~ 9 779 Gallia 1 333 Montgomery^ 33 5,968 Wood 9 3,877 Geauga 1 28 Morgan 2 400 Wyandot 2 502

Notes: * - All employment figures are estimates based on County Business Patterns; a few incorporate information from other sources; county employment figures sum to 107,982, more than the state total, and therefore tend to be slightly high; ^ - Clinton: adds Ahresty's foundry; Defiance: adds GM's foundry; Guernsey: adds Daimler's diesel plant; Mercer: adds Honda's foundry; Montgomery: adds Fuyao's glass plant and GM-Isuzu's diesel plant; ~ - Titan's off- road tire plant is excluded.

Sources: company websites, Office of Research, ODSA (2016a), and U.S. Bureau of the Census (2018b).

Prepared by: Office of Research, Ohio Development Services Agency (ODSA) (DL, 10/18).

118 Table A8: Motor Vehicle Industry Employment Trends, 2006-2016 (in thousands, except percentages)

Changes: 2006-16 NAICS Code Shorter Industry Title 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Number Percent

32621-3363 Ohio Motor Vehicle (MV) Industry 126.4 116.4 108.5 81.1 77.5 78.5 83.0 88.4 92.9 100.1 102.8 -23.6 -18.7%

3361-3 Transportation Eqpt. Subtotal 122.2 112.0 103.9 76.7 73.6 74.5 78.8 84.1 88.7 95.4 98.1 -24.1 -19.7% 3361 MV Assembly 26.8 23.6 22.4 14.9 16.7 16.7 17.6 16.9 18.0 21.0 20.8 -6.1 -22.6% 33611 Cars & Light Trucks 23.2 20.4 19.8 12.7 14.5 13.9 14.0 13.6 14.5 17.3 17.3 -5.8 -25.2% 33612 Medium- & Heavy-Duty Trucks 3.7 3.1 2.6 2.2 2.2 2.9 3.6 3.3 3.4 3.7 3.4 -0.2 -6.1%

3362 MV Bodies & Trailers 4.9 5.4 5.8 4.1 3.6 3.4 3.9 4.9 5.2 5.9 6.1 1.2 24.3% 336211 MV Bodies 2.5 3.2 3.4 2.2 1.8 1.7 1.6 2.4 2.5 2.7 2.8 0.3 11.8% 336212 Truck Trailers 1.5 1.3 1.1 0.9 0.8 0.7 1.0 1.2 1.3 1.6 1.6 0.1 7.1% 336213-4 Motor Homes, Trailers & Campers^ 1.0 0.9 1.3 1.0 0.9 1.0 1.3 1.3 1.4 1.6 1.8 0.8 82.5%

3363 MV Parts* 90.4 83.0 75.8 57.7 53.3 54.3 57.3 62.3 65.5 68.5 71.2 -19.2 -21.3% 33631 MV Gas Engines & Engine Parts 8.5 8.1 7.2 6.5 3.2 4.6 4.9 5.1 5.1 5.5 5.9 -2.5 -29.8% 33632 MV Electrical & Electronic Eqpt. 9.7 9.1 8.2 6.8 8.5 8.0 8.0 9.2 9.7 7.7 8.5 -1.2 -12.2% 33633 MV Steering & Suspension Parts 4.9 5.1 5.4 4.2 3.5 3.2 2.6 2.6 2.6 4.9 3.9 -1.0 -21.1% 33634 MV Brake Systems 6.2 5.0 3.4 2.7 2.4 2.4 2.2 2.7 3.1 3.2 3.1 -3.1 -50.2% 33635 MV Transmission & Power Train Parts 13.1 11.6 11.4 7.5 7.1 7.3 8.8 9.4 10.1 9.5 11.1 -2.0 -15.1% 33636 MV Seating & Interior Trim 7.3 7.3 6.4 5.3 5.2 5.8 6.8 7.7 8.2 8.9 9.2 1.9 25.7% 33637 MV Metal Stamping 24.3 21.7 20.3 14.4 13.9 13.4 14.2 14.6 15.5 16.4 16.5 -7.8 -32.0% 33639 Other MV Parts 16.6 15.1 13.5 10.4 9.5 9.6 9.8 11.1 11.3 12.4 13.0 -3.5 -21.3%

32621-335911 Related Industries Subtotal* 4.2 4.4 4.7 4.4 3.9 4.0 4.2 4.3 4.3 4.7 4.6 0.5 11.1% 32621 Tires 3.1 3.3 3.5 3.3 2.7 2.9 3.0 3.3 3.2 3.5 3.4 0.3 9.8% 326211 Tire Mfg. (Exc. Retreading) 2.7 2.9 3.0 2.9 2.4 2.5 2.6 2.9 2.9 3.2 3.2 0.4 15.1% 326212 Tire Retreading 0.4 0.4 0.4 0.3 0.4 0.4 0.4 0.4 0.3 0.3 0.3 -0.1 -27.9% 335911 Storage Batteries 1.0 1.1 1.2 1.2 1.2 1.1 1.1 1.0 1.1 1.2 1.2 0.2 15.0%

32621-3363 U.S. Motor Vehicle (MV) Industry 1,088.7 1,017.3 957.5 733.7 693.5 736.2 796.9 837.7 880.2 936.1 973.8 -114.9 -10.6%

3361-3 Transportation Eqpt. Subtotal 1,007.9 941.7 879.4 662.1 627.6 667.3 727.1 769.7 811.1 865.6 901.9 -106.1 -10.5% 3361 MV Assembly 211.2 196.5 182.1 134.4 130.4 136.7 150.0 161.4 170.6 187.3 198.0 -13.1 -6.2% 33611 Cars & Light Trucks 179.0 165.9 153.4 111.7 109.5 109.1 119.2 133.4 143.4 155.8 167.6 -11.5 -6.4% 33612 Medium- & Heavy-Duty Trucks 32.1 30.6 28.6 22.7 20.9 27.5 30.8 28.0 27.1 31.5 30.5 -1.6 -5.1%

3362 MV Bodies & Trailers 155.6 151.6 136.4 96.0 94.2 102.8 115.5 119.0 128.5 136.9 143.6 -12.0 -7.7% 336211 MV Bodies 47.6 50.4 47.5 39.5 38.6 38.3 40.5 39.4 42.5 44.0 46.4 -1.1 -2.4% 336212 Truck Trailers 32.3 32.9 25.9 18.8 17.9 23.1 28.3 29.3 30.0 34.2 33.9 1.7 5.2% 336213-4 Motor Homes, Trailers & Campers^ 75.8 68.3 63.0 37.7 37.7 41.4 46.7 50.3 56.0 58.7 63.3 -12.5 -16.5%

3363 MV Parts 641.1 593.6 560.9 431.8 402.9 427.9 461.6 489.3 512.1 541.5 560.2 -80.9 -12.6% 33631 MV Gas Engines & Engine Parts 76.6 71.9 60.6 48.3 44.3 51.4 52.8 53.4 53.7 56.8 59.3 -17.4 -22.7% 33632 MV Electrical & Electronic Eqpt. 77.6 69.3 66.1 52.4 47.7 45.7 50.0 55.3 58.3 60.6 60.5 -17.1 -22.0% 33633 MV Steering & Suspension Parts 39.4 36.0 37.4 31.7 26.1 27.2 28.7 29.8 31.7 36.3 36.8 -2.6 -6.7% 33634 MV Brake Systems 33.8 30.9 27.4 21.7 20.2 21.7 21.9 23.1 21.9 21.7 21.7 -12.1 -35.9% 33635 MV Transmission & Power Train Parts 83.8 78.0 75.3 52.1 51.2 53.4 58.2 63.0 65.8 67.8 70.5 -13.3 -15.9% 33636 MV Seating & Interior Trim 52.8 52.2 50.0 40.9 39.8 41.8 47.0 54.9 57.7 63.5 67.3 14.4 27.3% 33637 MV Metal Stamping 110.6 100.0 94.3 66.9 67.0 72.1 81.0 85.6 91.3 97.7 102.3 -8.3 -7.5% 33639 Other MV Parts 166.5 155.4 150.0 117.7 106.6 114.6 122.0 124.1 131.7 137.0 141.9 -24.6 -14.7%

32621-335911 Related Industries Subtotal 80.8 75.6 78.1 71.6 66.0 68.9 69.8 67.9 69.1 70.4 71.9 -8.9 -11.0% 32621 Tires 62.5 58.0 58.2 53.4 48.1 50.0 50.5 49.1 49.9 50.7 51.1 -11.4 -18.2% 326211 Tire Mfg. (Exc. Retreading) 54.0 49.8 50.2 46.4 41.8 43.8 43.8 42.8 43.6 44.2 44.8 -9.1 -16.9% 326212 Tire Retreading 8.5 8.2 8.0 7.0 6.3 6.2 6.7 6.3 6.4 6.6 6.3 -2.2 -26.4% 335911 Storage Batteries 18.3 17.7 19.8 18.1 17.8 18.9 19.3 18.9 19.2 19.7 20.8 2.5 13.7%

Notes: ^ - The vast majority are Trailers and Campers (336214); * - some constituent Ohio figures may be estimates; abbreviations used: Eqpt. - equipment; Exc. - except; Mfg. - manufacturing; MV - motor vehicle. Sources: U.S. Bureau of the Census (2008b-2018b). Prepared by: Office of Research, Ohio Development Services Agency (ODSA) (DL, 9/18).

119 Table A9: Total and Motor Vehicle Industry Gross Domestic Product for Ohio and the U.S., 1997-2016 (in billions of chained dollars standardized on 2009) Motor Vehicles, Bodies, Trailers & Parts (NAICS 3361-3363) GDP Total GDP Ohio U.S. Ohio U.S. Ohio as a Per- cent of the U.S. Percent Percent Percent Percent Ohio::U.S. Dollar Change As Dollar Change As Dollar Change Dollar Change NAICS Concen- Value from Percent Value from Percent Value from Value from 3361- tration Year (billions) Prior Yr. of Total (billions) Prior Yr. of Total (billions) Prior Yr. (billions) Prior Yr. 3363 Total Ratio 1997 $12.0 2.7% $89.0 0.8% $447.0 $11,118.8 13.5% 4.0% 3.36 1998 $14.3 18.5% 3.1% $98.4 10.5% 0.8% $466.8 4.4% $11,598.2 4.3% 14.5% 4.0% 3.60 1999 $13.6 -4.7% 2.9% $104.4 6.1% 0.9% $476.2 2.0% $12,141.8 4.7% 13.0% 3.9% 3.32 2000 $14.0 3.2% 2.9% $106.9 2.4% 0.8% $485.0 1.8% $12,616.5 3.9% 13.1% 3.8% 3.41 2001 $12.0 -14.1% 2.5% $96.7 -9.6% 0.8% $477.6 -1.5% $12,735.1 0.9% 12.5% 3.8% 3.32 2002 $14.2 18.1% 2.9% $110.1 13.9% 0.8% $488.5 2.3% $12,962.8 1.8% 12.9% 3.8% 3.43 2003 $14.3 0.2% 2.9% $119.5 8.5% 0.9% $496.8 1.7% $13,295.9 2.6% 11.9% 3.7% 3.19 2004 $16.7 17.4% 3.3% $122.8 2.7% 0.9% $508.9 2.4% $13,764.7 3.5% 13.6% 3.7% 3.69 2005 $17.0 1.5% 3.3% $129.6 5.5% 0.9% $512.2 0.7% $14,203.2 3.2% 13.1% 3.6% 3.64 2006 $18.7 10.1% 3.7% $142.8 10.2% 1.0% $511.3 -0.2% $14,584.9 2.7% 13.1% 3.5% 3.74 2007 $16.6 -11.0% 3.3% $136.4 -4.5% 0.9% $510.6 -0.1% $14,798.4 1.5% 12.2% 3.5% 3.54 2008 $11.9 -28.6% 2.4% $106.8 -21.7% 0.7% $501.5 -1.8% $14,718.3 -0.5% 11.1% 3.4% 3.27 2009 $4.1 -65.6% 0.9% $48.4 -54.6% 0.3% $479.5 -4.4% $14,320.1 -2.7% 8.4% 3.3% 2.52 2010 $7.6 86.9% 1.6% $99.8 105.9% 0.7% $492.4 2.7% $14,628.2 2.2% 7.7% 3.4% 2.28 2011 $11.2 45.9% 2.2% $127.5 27.8% 0.9% $510.2 3.6% $14,833.7 1.4% 8.8% 3.4% 2.54 2012 $12.9 15.8% 2.5% $138.3 8.4% 0.9% $518.6 1.6% $15,126.3 2.0% 9.3% 3.4% 2.73 2013 $12.3 -5.2% 2.3% $145.3 5.1% 0.9% $523.6 1.0% $15,348.0 1.5% 8.4% 3.4% 2.47 2014 $14.1 15.0% 2.6% $151.5 4.3% 1.0% $541.1 3.3% $15,717.5 2.4% 9.3% 3.4% 2.70 2015 $13.2 -6.4% 2.4% $151.8 0.2% 0.9% $546.6 1.0% $16,148.5 2.7% 8.7% 3.4% 2.57 2016 $12.7 -3.8% 2.3% $153.9 1.4% 0.9% $551.1 0.8% $16,383.8 1.5% 8.2% 3.4% 2.45 Net Changes, 1997-2016 Numeric $0.7 -0.4% $64.9 0.1% $104.1 $5,265.0 -5.3% -0.7% -0.91 Percent 5.5% 73.0% 23.3% 47.4% Notes: State GDP is analogous to national GDP, but not identical with it due to minor technical differences. Using chained dollars adjusts for inflation, allowing comparisons of the volume of goods produced from year to year. Source: U.S. Bureau of Economic Analysis (2018a). Prepared by: Office of Research, Ohio Development Services Agency (DL, 8/18).

120 Table A10: Trends in Value-Added by Group for Ohio and the U.S., 1997-2016 (in millions of dollars)

Ohio U.S. Ohio as a Percentage of the U.S.

3362: 3362: 3361: 3362: 3361: Bodies & 3363: 3361: Bodies & 3363: As- Bodies & 3363: Sum- Year Assembly Trailers Parts Summary Assembly Trailers Parts Summary sembly Trailers Parts mary

1997 $10,760.0 $281.9 $11,275.6 $22,317.5 $72,575.0 $7,693.7 $73,797.9 $154,066.6 14.8% 3.7% 15.3% 14.5% 1998 $13,493.2 $331.0 $10,977.3 $24,801.4 $66,288.7 $8,474.4 $77,370.5 $152,133.6 20.4% 3.9% 14.2% 16.3% 1999 $13,344.9 $331.2 $11,665.1 $25,341.2 $77,424.7 $10,158.9 $85,426.3 $173,009.9 17.2% 3.3% 13.7% 14.6% 2000 $12,092.3 $339.9 $11,197.9 $23,630.2 $61,627.7 $9,871.3 $84,481.3 $155,980.3 19.6% 3.4% 13.3% 15.1% 2001^ $10,408.9 $273.1 $9,362.9 $20,044.9 $54,172.8 $8,417.3 $74,532.3 $137,122.4 19.2% 3.2% 12.6% 14.6% 2002 $12,686.7 $244.0 $11,753.1 $24,683.9 $72,157.1 $8,741.7 $86,428.2 $167,327.0 17.6% 2.8% 13.6% 14.8% 2003 $9,606.0 $272.5 $12,292.3 $22,170.8 $78,239.9 $9,475.8 $84,401.2 $172,117.0 12.3% 2.9% 14.6% 12.9% 2004 $10,541.7 $703.1 $13,504.4 $24,749.2 $71,100.6 $11,186.5 $83,006.0 $165,293.2 14.8% 6.3% 16.3% 15.0% 2005 $10,800.6 $945.8 $12,361.1 $24,107.5 $67,605.8 $12,292.5 $81,289.8 $161,188.0 16.0% 7.7% 15.2% 15.0% 2006^ $10,908.5 $1,122.4 $11,298.8 $23,329.8 $66,035.3 $13,482.8 $80,497.4 $160,015.6 16.5% 8.3% 14.0% 14.6% 2007 $9,920.1 $470.4 $10,649.2 $21,039.7 $73,039.6 $12,806.0 $74,178.3 $160,023.9 13.6% 3.7% 14.4% 13.1% 2008 $7,469.2 $253.7 $8,581.8 $16,304.8 $51,590.4 $10,021.2 $63,002.7 $124,614.3 14.5% 2.5% 13.6% 13.1% 2009* $3,337.8 $307.2 $6,994.3 $10,639.2 $41,665.0 $7,012.0 $53,305.1 $101,982.1 8.0% 4.4% 13.1% 10.4% 2010* $3,805.3 $362.6 $7,522.4 $11,690.3 $65,275.0 $8,200.8 $63,575.7 $137,051.5 5.8% 4.4% 11.8% 8.5% 2011*^ $4,458.9 $411.5 $7,138.5 $12,009.0 $54,916.5 $8,980.1 $62,854.6 $126,751.2 8.1% 4.6% 11.4% 9.5% 2012 $6,237.1 $371.0 $7,867.2 $14,475.3 $59,588.6 $10,826.4 $70,012.3 $140,427.4 10.5% 3.4% 11.2% 10.3% 2013 $4,981.4 $452.8 $8,596.4 $14,030.6 $64,512.7 $12,398.4 $74,916.0 $151,827.1 7.7% 3.7% 11.5% 9.2% 2014 $6,312.0 $468.1 $9,675.7 $16,455.8 $70,789.2 $13,629.3 $78,932.7 $163,351.2 8.9% 3.4% 12.3% 10.1% 2015~ $5,839.1 $515.3 $10,013.2 $16,367.6 $76,990.9 $14,211.4 $82,976.2 $174,178.5 7.6% 3.6% 12.1% 9.4% 2016^ $5,366.2 $570.5 $10,140.3 $16,077.0 $82,223.8 $14,830.1 $84,120.1 $181,173.9 6.5% 3.8% 12.1% 8.9%

Average percentages for the 20-year period: 13.0% 4.2% 13.4% 12.6%

Notes: * - Some data for Ohio are less reliable, as indicated by the relatively large standard errors of the estimates (not shown). ^ - Figures not subject to revision because they precede an Economic Census year. ~ - Ohio assembly figure estimated as the mean of 2014 and 2016.

Sources: U.S. Bureau of the Census (2000c, 2001a-2003a, 2005c, 2006a-2008a, 2010c, 2011a-2016a, 2015c, 2017a-2018a).

Prepared by: Office of Research, Ohio Development Services Agency (DL, 9/18).

121 Table A11: Light Vehicle Production in Ohio and the U.S., 1993-2018

Ohio U.S.

Cars as Cars as Ohio as Percent of U.S. Percent Percent Light Light of Light Light Light of Light Light Light Year Cars Trucks Vehicles Vehicles Cars Trucks Vehicles Vehicles Cars Trucks Vehicles

1993 1,005,870 795,541 1,801,411 55.8% 5,982,120 4,608,017 10,590,137 56.5% 16.8% 17.3% 17.0% 1994 959,856 812,660 1,772,516 54.2% 6,601,223 5,332,048 11,933,271 55.3% 14.5% 15.2% 14.9% 1995 988,869 907,288 1,896,157 52.2% 6,339,892 5,306,197 11,646,089 54.4% 15.6% 17.1% 16.3% 1996 1,084,599 855,430 1,940,029 55.9% 6,082,835 5,749,418 11,832,253 51.4% 17.8% 14.9% 16.4% 1997 1,105,007 893,447 1,998,454 55.3% 5,933,921 6,196,565 12,130,486 48.9% 18.6% 14.4% 16.5% 1998 1,016,129 840,416 1,856,545 54.7% 5,554,373 6,448,290 12,002,663 46.3% 18.3% 13.0% 15.5% 1999 1,055,762 918,210 1,973,972 53.5% 5,637,949 7,387,029 13,024,978 43.3% 18.7% 12.4% 15.2% 2000 1,022,393 841,636 1,864,029 54.8% 5,542,217 7,228,497 12,770,714 43.4% 18.4% 11.6% 14.6% 2001 1,016,218 722,869 1,739,087 58.4% 4,879,119 6,545,570 11,424,689 42.7% 20.8% 11.0% 15.2% 2002 989,509 847,787 1,837,296 53.9% 5,018,777 7,260,805 12,279,582 40.9% 19.7% 11.7% 15.0% 2003 927,925 956,952 1,884,877 49.2% 4,510,469 7,576,559 12,087,028 37.3% 20.6% 12.6% 15.6% 2004 797,009 943,622 1,740,631 45.8% 4,229,625 7,730,729 11,960,354 35.4% 18.8% 12.2% 14.6% 2005 882,222 912,367 1,794,589 49.2% 4,321,272 7,625,381 11,946,653 36.2% 20.4% 12.0% 15.0% 2006 884,734 785,007 1,669,741 53.0% 4,366,996 6,893,281 11,260,277 38.8% 20.3% 11.4% 14.8% 2007 870,008 878,327 1,748,335 49.8% 3,924,268 6,828,042 10,752,310 36.5% 22.2% 12.9% 16.3% 2008 854,209 629,877 1,484,086 57.6% 3,776,641 4,896,450 8,673,091 43.5% 22.6% 12.9% 17.1% 2009 394,333 389,129 783,462 50.3% 2,331,435 3,280,365 5,611,800 41.5% 16.9% 11.9% 14.0% 2010 511,310 592,222 1,103,532 46.3% 2,934,267 4,694,826 7,629,093 38.5% 17.4% 12.6% 14.5% 2011 565,851 595,698 1,161,549 48.7% 3,148,601 5,322,261 8,470,862 37.2% 18.0% 11.2% 13.7% 2012 745,381 627,227 1,372,608 54.3% 4,325,546 5,803,973 10,129,519 42.7% 17.2% 10.8% 13.6% 2013 802,292 653,826 1,456,118 55.1% 4,566,010 6,307,444 10,873,454 42.0% 17.6% 10.4% 13.4% 2014 741,588 825,163 1,566,751 47.3% 4,304,130 7,125,739 11,429,869 37.7% 17.2% 11.6% 13.7% 2015 739,018 853,809 1,592,827 46.4% 3,864,179 7,413,913 11,278,092 34.3% 19.1% 11.5% 14.1% 2016 649,716 791,288 1,441,004 45.1% 3,920,311 8,143,910 12,064,221 32.5% 16.6% 9.7% 11.9% 2017 523,730 652,549 1,176,279 44.5% 3,254,406 8,005,955 11,260,361 28.9% 16.1% 8.2% 10.4% 2018* 523,254 634,479 1,157,733 45.2% 2,943,329 8,103,584 11,046,913 26.6% 17.8% 7.8% 10.5%

Notes: * - Initial, subject to revision.

Sources: Automotive News (2010-2019), Ward's (1994-2009).

Prepared by: Office of Research, Ohio Development Services Agency (DL, 1/19).

122 Table A12: Trends in Capital Expenditures by Group for Ohio and the U.S., 1997-2016 (in millions of dollars)

Ohio U.S. Ohio as a Percentage of the U.S.

3362: 3362: 3361: 3362: 3361: Bodies & 3363: 3361: Bodies & 3363: As- Bodies & 3363: Sum- Year Assembly Trailers Parts Summary Assembly Trailers Parts Summary sembly Trailers Parts mary

1997 $454.1 $26.6 $1,888.5 $2,369.3 $5,406.6 $441.1 $9,489.4 $15,337.1 8.4% 6.0% 19.9% 15.4% 1998 $364.1 $12.6 $1,669.7 $2,046.4 $5,383.8 $377.8 $9,830.8 $15,592.3 6.8% 3.3% 17.0% 13.1% 1999 $745.7 $16.6 $1,323.6 $2,086.0 $4,773.5 $463.7 $9,464.3 $14,701.4 15.6% 3.6% 14.0% 14.2% 2000 $840.2 $13.6 $1,118.0 $1,971.8 $4,777.8 $588.1 $8,863.0 $14,229.0 17.6% 2.3% 12.6% 13.9% 2001^ $462.6 $6.7 $1,099.9 $1,569.2 $4,461.3 $503.3 $8,390.4 $13,355.0 10.4% 1.3% 13.1% 11.8% 2002 $318.6 $8.3 $1,366.9 $1,693.8 $4,802.2 $328.0 $7,534.3 $12,664.5 6.6% 2.5% 18.1% 13.4% 2003 $285.3 $4.6 $932.7 $1,222.6 $5,186.7 $386.8 $7,377.3 $12,950.7 5.5% 1.2% 12.6% 9.4% 2004 $421.3 $14.6 $1,123.6 $1,559.5 $4,686.8 $441.5 $6,259.2 $11,387.5 9.0% 3.3% 18.0% 13.7% 2005 $453.8 $22.7 $803.2 $1,279.7 $4,283.1 $391.2 $6,759.4 $11,433.6 10.6% 5.8% 11.9% 11.2% 2006^ $570.5 $11.1 $1,543.9 $2,125.4 $4,042.8 $393.5 $6,884.3 $11,320.6 14.1% 2.8% 22.4% 18.8% 2007 $268.2 $14.0 $1,032.4 $1,314.6 $3,765.1 $413.9 $6,675.5 $10,854.5 7.1% 3.4% 15.5% 12.1% 2008 $135.8 $12.0 $1,179.2 $1,327.0 $4,129.9 $332.2 $6,836.7 $11,298.7 3.3% 3.6% 17.2% 11.7% 2009* $148.5 $4.2 $693.2 $845.9 $3,264.0 $431.9 $4,559.5 $8,255.4 4.5% 1.0% 15.2% 10.2% 2010* $192.8 $8.0 $641.6 $842.5 $7,976.9 $187.6 $3,946.4 $12,110.8 2.4% 4.3% 16.3% 7.0% 2011*^ $120.3 $5.1 $761.2 $886.6 $6,221.4 $350.1 $5,595.5 $12,167.1 1.9% 1.5% 13.6% 7.3% 2012~ $881.2 $11.2 $1,112.2 $2,004.6 $6,363.3 $563.6 $8,828.1 $15,755.0 13.8% 2.0% 12.6% 12.7% 2013 $406.8 $17.4 $1,492.2 $1,916.3 $8,952.3 $467.1 $10,313.9 $19,733.3 4.5% 3.7% 14.5% 9.7% 2014 $1,277.8 $13.9 $1,146.5 $2,438.1 $10,502.6 $467.0 $9,084.7 $20,054.4 12.2% 3.0% 12.6% 12.2% 2015 $1,833.1 $21.9 $953.9 $2,808.9 $10,016.1 $585.3 $8,506.4 $19,107.8 18.3% 3.7% 11.2% 14.7% 2016^ $1,582.4 $12.6 $899.6 $2,494.7 $5,748.7 $596.3 $8,166.6 $14,511.6 27.5% 2.1% 11.0% 17.2%

Average percentages for the 20-year period: 10.3% 3.0% 14.9% 12.6%

Notes: * - Some data for Ohio are less reliable, as indicated by the relatively large standard errors of the estimates (not shown). ^ - Figures not subject to revision because they precede an Economic Census year. ~ - Ohio bodies and trailers figure estimated as the mean of 2011 and 2013.

Sources: U.S. Bureau of the Census (2000c, 2001a-2003a, 2005c, 2006a-2008a, 2010c, 2011a-2016a, 2015c, 2017a-2018a).

Prepared by: Office of Research, Ohio Development Services Agency (DL, 9/18).

123 Table A13: Motor Vehicle Industry Establishment Trends, 2006-2016

Changes: 2006-16 NAICS Codes Shorter Industry Title 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Number Percent

32621-3363 Ohio Motor Vehicle (MV) Industry 658 673 647 616 575 554 565 576 578 579 573 -85 -12.9%

3361-3 Transportation Eqpt. Subtotal 613 628 602 573 538 522 532 543 547 546 539 -74 -12.1% 3361 MV Assembly 28 29 28 24 28 25 22 23 25 25 24 -4 -14.3% 33611 Cars & Light Trucks 19 19 17 14 18 15 13 14 16 17 15 -4 -21.1% 33612 Medium- & Heavy-Duty Trucks 9 10 11 10 10 10 9 9 9 8 9 0 0.0%

3362 MV Bodies & Trailers 95 101 94 83 81 80 86 90 87 91 91 -4 -4.2% 336211 MV Bodies 43 46 41 37 36 36 39 42 39 38 40 -3 -7.0% 336212 Truck Trailers 24 22 25 22 22 19 24 25 24 26 27 3 12.5% 336213-4 Motor Homes, Trailers & Campers^ 28 33 28 24 23 25 23 23 24 27 24 -4 -14.3%

3363 MV Parts 490 498 480 466 429 417 424 430 435 430 424 -66 -13.5% 33631 MV Gas Engines & Engine Parts 54 61 58 58 48 49 49 52 52 53 51 -3 -5.6% 33632 MV Electrical & Electronic Eqpt. 39 38 37 33 31 30 28 24 26 24 24 -15 -38.5% 33633 MV Steering & Suspension Parts 24 26 23 22 22 20 19 19 21 21 20 -4 -16.7% 33634 MV Brake Systems 29 27 28 31 26 24 23 27 24 23 25 -4 -13.8% 33635 MV Transmission & Power Train Parts 35 35 27 27 28 27 31 31 31 29 29 -6 -17.1% 33636 MV Seating & Interior Trim 37 37 36 31 31 29 31 35 32 34 34 -3 -8.1% 33637 MV Metal Stamping 152 149 154 155 139 137 140 139 142 139 139 -13 -8.6% 33639 Other MV Parts 120 125 117 109 104 101 103 103 107 107 102 -18 -15.0%

32621-335911 Related Industries Subtotal 45 45 45 43 37 32 33 33 31 33 34 -11 -24.4% 32621 Tires 38 39 38 36 30 25 28 29 27 29 30 -8 -21.1% 326211 Tire Mfg. (Exc. Retreading) 9 9 9 9 7 6 7 9 9 9 9 0 0.0% 326212 Tire Retreading 29 30 29 27 23 19 21 20 18 20 21 -8 -27.6% 335911 Storage Batteries 7 6 7 7 7 7 5 4 4 4 4 -3 -42.9%

32621-3363 U.S. Motor Vehicle (MV) Industry 8,871 8,862 8,996 8,324 7,997 7,801 8,029 7,983 7,983 7,988 7,798 -1,073 -12.1%

3361-3 Transportation Eqpt. Subtotal 8,083 8,091 8,237 7,632 7,339 7,161 7,372 7,347 7,312 7,345 7,165 -918 -11.4% 3361 MV Assembly 370 378 377 355 371 341 336 331 336 340 337 -33 -8.9% 33611 Cars & Light Trucks 275 280 277 265 277 250 251 249 257 260 258 -17 -6.2% 33612 Medium- & Heavy-Duty Trucks 95 98 100 90 94 91 85 82 79 80 79 -16 -16.8%

3362 MV Bodies & Trailers 2,157 2,187 2,156 2,007 1,898 1,835 1,887 1,870 1,898 1,917 1,880 -277 -12.8% 336211 MV Bodies 820 845 839 787 742 705 741 731 760 747 722 -98 -12.0% 336212 Truck Trailers 394 394 429 407 402 401 421 420 408 426 426 32 8.1% 336213-4 Motor Homes, Trailers & Campers^ 943 948 888 813 754 729 725 719 730 744 732 -211 -22.4%

3363 MV Parts 5,556 5,526 5,704 5,270 5,070 4,985 5,149 5,146 5,078 5,088 4,948 -608 -10.9% 33631 MV Gas Engines & Engine Parts 992 1,010 949 890 851 851 849 850 858 858 819 -173 -17.4% 33632 MV Electrical & Electronic Eqpt. 799 800 792 754 729 712 678 684 688 672 639 -160 -20.0% 33633 MV Steering & Suspension Parts 257 253 261 258 246 248 245 244 253 258 257 0 0.0% 33634 MV Brake Systems 241 238 233 204 199 191 195 250 186 187 178 -63 -26.1% 33635 MV Transmission & Power Train Parts 535 526 524 490 476 466 503 496 491 483 488 -47 -8.8% 33636 MV Seating & Interior Trim 421 407 409 409 403 395 398 408 394 408 410 -11 -2.6% 33637 MV Metal Stamping 781 758 788 769 736 717 773 773 771 776 764 -17 -2.2% 33639 Other MV Parts 1,530 1,534 1,748 1,496 1,430 1,405 1,508 1,441 1,437 1,446 1,393 -137 -9.0%

32621-335911 Related Industries Subtotal 788 771 759 692 658 640 657 636 671 643 633 -155 -19.7% 32621 Tires 663 649 643 580 535 514 529 500 528 508 482 -181 -27.3% 326211 Tire Mfg. (Exc. Retreading) 138 129 134 120 115 111 111 108 118 116 110 -28 -20.3% 326212 Tire Retreading 525 520 509 460 420 403 418 392 410 392 372 -153 -29.1% 335911 Storage Batteries 125 122 116 112 123 126 128 136 143 135 151 26 20.8%

Notes: ^ - The vast majority are Trailers and Campers (336214); abbreviations used: Eqpt. - equipment; Exc. - except; Mfg. - manufacturing; MV - motor vehicle. Sources: U.S. Bureau of the Census (2008b-2018b). Prepared by: Office of Research, Ohio Development Services Agency (ODSA) (DL, 9/18).

124 Table A14: Selected Motor Vehicle Industry^ Statistics for Ohio and the U.S., 1998-2016

Ohio U.S. GDP GDP Workers GDP per Workers GDP per Year (millions) Indexed (1,000s) Worker (millions) Indexed (1,000s) Worker 1998 $14,254 100.0 163.7 $87,067 $98,359 100.0 1,272.9 $77,272 1999 $13,589 95.3 167.2 $81,256 $104,358 106.1 1,309.8 $79,675 2000 $14,022 98.4 164.6 $85,211 $106,880 108.7 1,311.8 $81,476 2001 $12,041 84.5 151.0 $79,768 $96,666 98.3 1,215.8 $79,508 2002 $14,221 99.8 142.8 $99,611 $110,147 112.0 1,159.0 $95,036 2003 $14,253 100.0 136.6 $104,357 $119,523 121.5 1,119.3 $106,784 2004 $16,733 117.4 134.6 $124,299 $122,752 124.8 1,120.4 $109,561 2005 $16,985 119.2 133.2 $127,491 $129,563 131.7 1,104.6 $117,294 2006 $18,707 131.2 127.6 $146,626 $142,791 145.2 1,070.6 $133,375 2007 $16,644 116.8 114.4 $145,474 $136,434 138.7 999.1 $136,557 2008 $11,884 83.4 101.8 $116,764 $106,799 108.6 883.6 $120,868 2009 $4,091 28.7 76.9 $53,225 $48,439 49.2 677.7 $71,476 2010 $7,648 53.7 78.8 $97,013 $99,759 101.4 684.7 $145,697 2011 $11,159 78.3 82.6 $135,162 $127,496 129.6 728.2 $175,084 2012 $12,918 90.6 88.3 $146,355 $138,255 140.6 787.8 $175,495 2013 $12,251 85.9 93.5 $131,003 $145,280 147.7 821.6 $176,826 2014 $14,090 98.8 100.5 $140,138 $151,487 154.0 874.5 $173,227 2015 $13,187 92.5 104.3 $126,441 $151,792 154.3 919.0 $165,171 2016* $12,692 89.0 105.7 $120,065 $153,934 156.5 949.2 $162,172

Notes: ^ - NAICS codes 3361-3 combined, GDP standardized on 2009; * - initial, earlier years may be revised. Source: U.S. Bureau of Economic Analysis (2018a). Prepared by: Office of Research, Ohio Development Services Agency (DL, 9/18).

125

Intentionally blank

126 Table A15a: U.S. Sales of Imported and Domestic Light Vehicles, 1998-2018

Domestic Built Imports Totals

U.S. Japanese All U.S. Japanese All U.S. Japanese All Year & Type Brand Brand Others Total Brand Brand Others Total Brand Brand Others Total

1998: Cars 4,671,055 1,891,048 199,278 6,761,381 83,370 706,939 587,789 1,378,098 4,754,425 2,597,987 787,067 8,139,479 Trucks 6,181,040 518,411 43,804 6,743,255 3,207 603,078 51,746 658,031 6,184,247 1,121,489 95,550 7,401,286 Total 10,852,095 2,409,459 243,082 13,504,636 86,577 1,310,017 639,535 2,036,129 10,938,672 3,719,476 882,617 15,540,765

1999: Cars 4,863,463 1,870,805 245,089 6,979,357 206,340 783,597 728,990 1,718,927 5,069,803 2,654,402 974,079 8,698,284 Trucks 6,567,196 715,372 137,463 7,420,031 4,109 685,956 85,158 775,223 6,571,305 1,401,328 222,621 8,195,254 Total 11,430,659 2,586,177 382,552 14,399,388 210,449 1,469,553 814,148 2,494,150 11,641,108 4,055,730 1,196,700 16,893,538

2000: Cars 4,651,346 1,922,657 256,502 6,830,505 216,786 885,094 914,240 2,016,120 4,868,132 2,807,751 1,170,742 8,846,625 Trucks 6,675,664 895,081 80,060 7,650,805 38,306 737,590 76,429 852,325 6,713,970 1,632,671 156,489 8,503,130 Total 11,327,010 2,817,738 336,562 14,481,310 255,092 1,622,684 990,669 2,868,445 11,582,102 4,440,422 1,327,231 17,349,755

2001: Cars 4,132,495 1,953,838 238,663 6,324,996 193,241 865,424 1,038,964 2,097,629 4,325,736 2,819,262 1,277,627 8,422,625 Trucks 6,664,127 967,980 86,357 7,718,464 51,799 793,396 136,085 981,280 6,715,926 1,761,376 222,442 8,699,744 Total 10,796,622 2,921,818 325,020 14,043,460 245,040 1,658,820 1,175,049 3,078,909 11,041,662 4,580,638 1,500,069 17,122,369

2002: Cars 3,736,251 1,927,076 214,318 5,877,645 185,726 952,315 1,087,543 2,225,584 3,921,977 2,879,391 1,301,861 8,103,229 Trucks 6,609,603 954,593 82,568 7,646,764 66,032 819,295 181,048 1,066,375 6,675,635 1,773,888 263,616 8,713,139 Total 10,345,854 2,881,669 296,886 13,524,409 251,758 1,771,610 1,268,591 3,291,959 10,597,612 4,653,279 1,565,477 16,816,368

2003: Cars 3,391,080 1,941,147 195,203 5,527,430 194,047 844,482 1,044,522 2,083,051 3,585,127 2,785,629 1,239,725 7,610,481 Trucks 6,600,737 1,129,552 71,103 7,801,392 94,839 892,164 240,177 1,227,180 6,695,576 2,021,716 311,280 9,028,572 Total 9,991,817 3,070,699 266,306 13,328,822 288,886 1,736,646 1,284,699 3,310,231 10,280,703 4,807,345 1,551,005 16,639,053

2004: Cars 3,114,964 2,094,307 147,602 5,356,873 253,039 852,346 1,043,674 2,149,059 3,368,003 2,946,653 1,191,276 7,505,932 Trucks 6,664,465 1,389,089 61,176 8,114,730 102,052 824,785 319,421 1,246,258 6,766,517 2,213,874 380,597 9,360,988 Total 9,779,429 3,483,396 208,778 13,471,603 355,091 1,677,131 1,363,095 3,395,317 10,134,520 5,160,527 1,571,873 16,866,920

2005: Cars 3,075,058 2,189,281 216,194 5,480,533 234,455 969,341 982,737 2,186,533 3,309,513 3,158,622 1,198,931 7,667,066 Trucks 6,441,730 1,546,113 77,530 8,065,373 117,187 773,429 324,699 1,215,315 6,558,917 2,319,542 402,229 9,280,688 Total 9,516,788 3,735,394 293,724 13,545,906 351,642 1,742,770 1,307,436 3,401,848 9,868,430 5,478,164 1,601,160 16,947,754

2006: Cars 3,068,116 2,107,786 300,188 5,476,090 198,446 1,207,354 938,964 2,344,764 3,266,562 3,315,140 1,239,152 7,820,854 Trucks 5,675,676 1,522,237 138,883 7,336,796 117,425 938,955 290,370 1,346,750 5,793,101 2,461,192 429,253 8,683,546 Total 8,743,792 3,630,023 439,071 12,812,886 315,871 2,146,309 1,229,334 3,691,514 9,059,663 5,776,332 1,668,405 16,504,400

2007: Cars 2,708,404 2,259,309 285,637 5,253,350 185,388 1,240,663 939,012 2,365,063 2,893,792 3,499,972 1,224,649 7,618,413 Trucks 5,397,480 1,484,315 200,929 7,082,724 111,103 982,240 294,742 1,388,085 5,508,583 2,466,555 495,671 8,470,809 Total 8,105,884 3,743,624 486,566 12,336,074 296,491 2,222,903 1,233,754 3,753,148 8,402,375 5,966,527 1,720,320 16,089,222

2008*: Cars 2,379,316 2,049,953 247,174 4,676,443 163,254 1,258,793 943,619 2,365,666 2,542,570 3,308,746 1,190,793 7,042,109 Trucks 3,834,378 1,183,528 176,168 5,194,074 33,272 744,026 232,206 1,009,504 3,867,650 1,927,554 408,374 6,203,578 Total 6,213,694 3,233,481 423,342 9,870,517 196,526 2,002,819 1,175,825 3,375,170 6,410,220 5,236,300 1,599,167 13,245,687

127 Table A15a: U.S. Sales of Imported and Domestic Light Vehicles, 1998-2018

Domestic Built Imports Totals

U.S. Japanese All U.S. Japanese All U.S. Japanese All Year & Type Brand Brand Others Total Brand Brand Others Total Brand Brand Others Total

2009*: Cars 1,706,252 1,809,047 242,665 3,757,964 122,571 932,504 879,388 1,934,463 1,828,823 2,741,551 1,122,053 5,692,427 Trucks 2,822,709 953,758 170,518 3,946,985 28,853 512,984 250,255 792,092 2,851,562 1,466,742 420,773 4,739,077 Total 4,528,961 2,762,805 413,183 7,704,949 151,424 1,445,488 1,129,643 2,726,555 4,680,385 4,208,293 1,542,826 10,431,504

2010*: Cars 1,811,256 1,893,685 336,373 4,041,314 82,475 895,404 968,338 1,946,217 1,893,731 2,789,089 1,304,711 5,987,531 Trucks 3,327,937 1,178,962 304,091 4,810,990 39,301 507,657 244,365 791,323 3,367,238 1,686,619 548,456 5,602,313 Total 5,139,193 3,072,647 640,464 8,852,304 121,776 1,403,061 1,212,703 2,737,540 5,260,969 4,475,708 1,853,167 11,589,844

2011*: Cars 2,019,659 1,795,074 617,268 4,432,001 47,936 854,619 1,004,333 1,906,888 2,067,595 2,649,693 1,621,601 6,338,889 Trucks 3,916,503 1,229,777 371,567 5,517,847 31,914 578,062 312,864 922,840 3,948,417 1,807,839 684,431 6,440,687 Total 5,936,162 3,024,851 988,835 9,949,848 79,850 1,432,681 1,317,197 2,829,728 6,016,012 4,457,532 2,306,032 12,779,576

2012*: Cars 2,273,434 2,259,331 901,659 5,434,424 16,186 984,396 1,038,898 2,039,480 2,289,620 3,243,727 1,940,557 7,473,904 Trucks 4,165,677 1,483,343 374,008 6,023,028 35,216 616,507 344,571 996,294 4,200,893 2,099,850 718,579 7,019,322 Total 6,439,111 3,742,674 1,275,667 11,457,452 51,402 1,600,903 1,383,469 3,035,774 6,490,513 5,343,577 2,659,136 14,493,226

2013*: Cars 2,391,449 2,381,161 959,866 5,732,476 38,449 962,629 1,074,431 2,075,509 2,429,898 3,343,790 2,034,297 7,807,985 Trucks 4,545,549 1,714,781 365,676 6,626,006 71,659 728,005 367,493 1,167,157 4,617,208 2,442,786 733,169 7,793,163 Total 6,936,998 4,095,942 1,325,542 12,358,482 110,108 1,690,634 1,441,924 3,242,666 7,047,106 5,786,576 2,767,466 15,601,148

2014*: Cars 2,315,231 2,608,064 918,391 5,841,686 45,365 907,731 1,131,625 2,084,721 2,360,596 3,515,795 2,050,016 7,926,407 Trucks 5,016,052 1,909,264 398,065 7,323,381 92,102 743,952 407,157 1,243,211 5,108,154 2,653,216 805,222 8,566,592 Total 7,331,283 4,517,328 1,316,456 13,165,067 137,467 1,651,683 1,538,782 3,327,932 7,468,750 6,169,011 2,855,238 16,492,999

2015*: Cars 2,189,545 2,495,254 971,418 5,656,217 37,593 826,657 1,046,471 1,910,721 2,227,138 3,321,911 2,017,889 7,566,938 Trucks 5,501,286 2,278,480 445,082 8,224,848 191,687 967,597 532,041 1,691,325 5,692,973 3,246,077 977,123 9,916,173 Total 7,690,831 4,773,734 1,416,500 13,881,065 229,280 1,794,254 1,578,512 3,602,046 7,920,111 6,567,988 2,995,012 17,483,111

2016*: Cars 1,878,946 2,414,492 844,217 5,137,655 46,698 695,145 1,016,273 1,758,116 1,925,644 3,109,637 1,860,490 6,895,771 Trucks 5,709,631 2,433,272 432,174 8,575,077 258,568 1,118,258 705,755 2,082,581 5,968,199 3,551,530 1,137,929 10,657,658 Total 7,588,577 4,847,764 1,276,391 13,712,732 305,266 1,813,403 1,722,028 3,840,697 7,893,843 6,661,167 2,998,419 17,553,429

2017*^: Cars 1,558,368 2,243,024 729,232 4,530,624 32,932 620,785 935,468 1,589,185 1,591,300 2,863,809 1,664,700 6,119,809 Trucks 5,772,424 2,467,330 471,324 8,711,078 282,566 1,379,381 746,073 2,408,020 6,054,990 3,846,711 1,217,397 11,119,098 Total 7,330,792 4,710,354 1,200,556 13,241,702 315,498 2,000,166 1,681,541 3,997,205 7,646,290 6,710,520 2,882,097 17,238,907

2018*^: Cars 1,392,750 1,980,578 623,194 3,996,522 27,868 530,743 804,318 1,362,929 1,420,618 2,511,321 1,427,512 5,359,451 Trucks 6,076,578 2,570,654 559,568 9,206,800 320,346 1,541,936 905,948 2,768,230 6,396,924 4,112,590 1,465,516 11,975,030 Total 7,469,328 4,551,232 1,182,762 13,203,322 348,214 2,072,679 1,710,266 4,131,159 7,817,542 6,623,911 2,893,028 17,334,481

Note: * - Automotive News data; not entirely comparable with Wards; ^ - initial, subject to revision.

Sources: Automotive News (2009-2019), Ward's (1999-2008).

Prepared by: Office of Research, Ohio Development Services Agency. Telephone 614/466-2116 (DL, 1/19).

128 Table A15b: Percentages of U.S. Sales of Imported and Domestic Light Vehicles, 1998-2018

Domestic Built Imports Totals

U.S. Japanese All U.S. Japanese All U.S. Japanese All Year & Type Brand Brand Others Total Brand Brand Others Total Brand Brand Others Total

1998: Cars 30.1% 12.2% 1.3% 43.5% 0.5% 4.5% 3.8% 8.9% 30.6% 16.7% 5.1% 52.4% Trucks 39.8% 3.3% 0.3% 43.4% 0.0% 3.9% 0.3% 4.2% 39.8% 7.2% 0.6% 47.6% Total 69.8% 15.5% 1.6% 86.9% 0.6% 8.4% 4.1% 13.1% 70.4% 23.9% 5.7% 100.0%

1999: Cars 28.8% 11.1% 1.5% 41.3% 1.2% 4.6% 4.3% 10.2% 30.0% 15.7% 5.8% 51.5% Trucks 38.9% 4.2% 0.8% 43.9% 0.0% 4.1% 0.5% 4.6% 38.9% 8.3% 1.3% 48.5% Total 67.7% 15.3% 2.3% 85.2% 1.2% 8.7% 4.8% 14.8% 68.9% 24.0% 7.1% 100.0%

2000: Cars 26.8% 11.1% 1.5% 39.4% 1.2% 5.1% 5.3% 11.6% 28.1% 16.2% 6.7% 51.0% Trucks 38.5% 5.2% 0.5% 44.1% 0.2% 4.3% 0.4% 4.9% 38.7% 9.4% 0.9% 49.0% Total 65.3% 16.2% 1.9% 83.5% 1.5% 9.4% 5.7% 16.5% 66.8% 25.6% 7.6% 100.0%

2001: Cars 24.1% 11.4% 1.4% 36.9% 1.1% 5.1% 6.1% 12.3% 25.3% 16.5% 7.5% 49.2% Trucks 38.9% 5.7% 0.5% 45.1% 0.3% 4.6% 0.8% 5.7% 39.2% 10.3% 1.3% 50.8% Total 63.1% 17.1% 1.9% 82.0% 1.4% 9.7% 6.9% 18.0% 64.5% 26.8% 8.8% 100.0%

2002: Cars 22.2% 11.5% 1.3% 35.0% 1.1% 5.7% 6.5% 13.2% 23.3% 17.1% 7.7% 48.2% Trucks 39.3% 5.7% 0.5% 45.5% 0.4% 4.9% 1.1% 6.3% 39.7% 10.5% 1.6% 51.8% Total 61.5% 17.1% 1.8% 80.4% 1.5% 10.5% 7.5% 19.6% 63.0% 27.7% 9.3% 100.0%

2003: Cars 20.4% 11.7% 1.2% 33.2% 1.2% 5.1% 6.3% 12.5% 21.5% 16.7% 7.5% 45.7% Trucks 39.7% 6.8% 0.4% 46.9% 0.6% 5.4% 1.4% 7.4% 40.2% 12.2% 1.9% 54.3% Total 60.1% 18.5% 1.6% 80.1% 1.7% 10.4% 7.7% 19.9% 61.8% 28.9% 9.3% 100.0%

2004: Cars 18.5% 12.4% 0.9% 31.8% 1.5% 5.1% 6.2% 12.7% 20.0% 17.5% 7.1% 44.5% Trucks 39.5% 8.2% 0.4% 48.1% 0.6% 4.9% 1.9% 7.4% 40.1% 13.1% 2.3% 55.5% Total 58.0% 20.7% 1.2% 79.9% 2.1% 9.9% 8.1% 20.1% 60.1% 30.6% 9.3% 100.0%

2005: Cars 18.1% 12.9% 1.3% 32.3% 1.4% 5.7% 5.8% 12.9% 19.5% 18.6% 7.1% 45.2% Trucks 38.0% 9.1% 0.5% 47.6% 0.7% 4.6% 1.9% 7.2% 38.7% 13.7% 2.4% 54.8% Total 56.2% 22.0% 1.7% 79.9% 2.1% 10.3% 7.7% 20.1% 58.2% 32.3% 9.4% 100.0%

2006: Cars 18.6% 12.8% 1.8% 33.2% 1.2% 7.3% 5.7% 14.2% 19.8% 20.1% 7.5% 47.4% Trucks 34.4% 9.2% 0.8% 44.5% 0.7% 5.7% 1.8% 8.2% 35.1% 14.9% 2.6% 52.6% Total 53.0% 22.0% 2.7% 77.6% 1.9% 13.0% 7.4% 22.4% 54.9% 35.0% 10.1% 100.0%

2007: Cars 16.8% 14.0% 1.8% 32.7% 1.2% 7.7% 5.8% 14.7% 18.0% 21.8% 7.6% 47.4% Trucks 33.5% 9.2% 1.2% 44.0% 0.7% 6.1% 1.8% 8.6% 34.2% 15.3% 3.1% 52.6% Total 50.4% 23.3% 3.0% 76.7% 1.8% 13.8% 7.7% 23.3% 52.2% 37.1% 10.7% 100.0%

2008*: Cars 18.0% 15.5% 1.9% 35.3% 1.2% 9.5% 7.1% 17.9% 19.2% 25.0% 9.0% 53.2% Trucks 28.9% 8.9% 1.3% 39.2% 0.3% 5.6% 1.8% 7.6% 29.2% 14.6% 3.1% 46.8% Total 46.9% 24.4% 3.2% 74.5% 1.5% 15.1% 8.9% 25.5% 48.4% 39.5% 12.1% 100.0%

129 Table A15b: Percentages of U.S. Sales of Imported and Domestic Light Vehicles, 1998-2018

Domestic Built Imports Totals

U.S. Japanese All U.S. Japanese All U.S. Japanese All Year & Type Brand Brand Others Total Brand Brand Others Total Brand Brand Others Total

2009*: Cars 16.4% 17.3% 2.3% 36.0% 1.2% 8.9% 8.4% 18.5% 17.5% 26.3% 10.8% 54.6% Trucks 27.1% 9.1% 1.6% 37.8% 0.3% 4.9% 2.4% 7.6% 27.3% 14.1% 4.0% 45.4% Total 43.4% 26.5% 4.0% 73.9% 1.5% 13.9% 10.8% 26.1% 44.9% 40.3% 14.8% 100.0%

2010*: Cars 15.6% 16.3% 2.9% 34.9% 0.7% 7.7% 8.4% 16.8% 16.3% 24.1% 11.3% 51.7% Trucks 28.7% 10.2% 2.6% 41.5% 0.3% 4.4% 2.1% 6.8% 29.1% 14.6% 4.7% 48.3% Total 44.3% 26.5% 5.5% 76.4% 1.1% 12.1% 10.5% 23.6% 45.4% 38.6% 16.0% 100.0%

2011*: Cars 15.8% 14.0% 4.8% 34.7% 0.4% 6.7% 7.9% 14.9% 16.2% 20.7% 12.7% 49.6% Trucks 30.6% 9.6% 2.9% 43.2% 0.2% 4.5% 2.4% 7.2% 30.9% 14.1% 5.4% 50.4% Total 46.5% 23.7% 7.7% 77.9% 0.6% 11.2% 10.3% 22.1% 47.1% 34.9% 18.0% 100.0%

2012*: Cars 15.7% 15.6% 6.2% 37.5% 0.1% 6.8% 7.2% 14.1% 15.8% 22.4% 13.4% 51.6% Trucks 28.7% 10.2% 2.6% 41.6% 0.2% 4.3% 2.4% 6.9% 29.0% 14.5% 5.0% 48.4% Total 44.4% 25.8% 8.8% 79.1% 0.4% 11.0% 9.5% 20.9% 44.8% 36.9% 18.3% 100.0%

2013*: Cars 15.3% 15.3% 6.2% 36.7% 0.2% 6.2% 6.9% 13.3% 15.6% 21.4% 13.0% 50.0% Trucks 29.1% 11.0% 2.3% 42.5% 0.5% 4.7% 2.4% 7.5% 29.6% 15.7% 4.7% 50.0% Total 44.5% 26.3% 8.5% 79.2% 0.7% 10.8% 9.2% 20.8% 45.2% 37.1% 17.7% 100.0%

2014*: Cars 14.0% 15.8% 5.6% 35.4% 0.3% 5.5% 6.9% 12.6% 14.3% 21.3% 12.4% 48.1% Trucks 30.4% 11.6% 2.4% 44.4% 0.6% 4.5% 2.5% 7.5% 31.0% 16.1% 4.9% 51.9% Total 44.5% 27.4% 8.0% 79.8% 0.8% 10.0% 9.3% 20.2% 45.3% 37.4% 17.3% 100.0%

2015*: Cars 12.5% 14.3% 5.6% 32.4% 0.2% 4.7% 6.0% 10.9% 12.7% 19.0% 11.5% 43.3% Trucks 31.5% 13.0% 2.5% 47.0% 1.1% 5.5% 3.0% 9.7% 32.6% 18.6% 5.6% 56.7% Total 44.0% 27.3% 8.1% 79.4% 1.3% 10.3% 9.0% 20.6% 45.3% 37.6% 17.1% 100.0%

2016*: Cars 10.7% 13.8% 4.8% 29.3% 0.3% 4.0% 5.8% 10.0% 11.0% 17.7% 10.6% 39.3% Trucks 32.5% 13.9% 2.5% 48.9% 1.5% 6.4% 4.0% 11.9% 34.0% 20.2% 6.5% 60.7% Total 43.2% 27.6% 7.3% 78.1% 1.7% 10.3% 9.8% 21.9% 45.0% 37.9% 17.1% 100.0%

2017*^: Cars 9.0% 13.0% 4.2% 26.3% 0.2% 3.6% 5.4% 9.2% 9.2% 16.6% 9.7% 35.5% Trucks 33.5% 14.3% 2.7% 50.5% 1.6% 8.0% 4.3% 14.0% 35.1% 22.3% 7.1% 64.5% Total 42.5% 27.3% 7.0% 76.8% 1.8% 11.6% 9.8% 23.2% 44.4% 38.9% 16.7% 100.0%

2018*^: Cars 8.0% 11.4% 3.6% 23.1% 0.2% 3.1% 4.6% 7.9% 8.2% 14.5% 8.2% 30.9% Trucks 35.1% 14.8% 3.2% 53.1% 1.8% 8.9% 5.2% 16.0% 36.9% 23.7% 8.5% 69.1% Total 43.1% 26.3% 6.8% 76.2% 2.0% 12.0% 9.9% 23.8% 45.1% 38.2% 16.7% 100.0%

Note: * - Automotive News data; not entirely comparable with Wards; ^ - initial, subject to revision.

Sources: Automotive News (2009-2019), Ward's (1999-2008).

Prepared by: Office of Research, Ohio Development Services Agency. Telephone 614/466-2116 (DL, 1/19).

130 Table A16: Imports and Exports of Motor Vehicles, Parts and Accessories, and the Value of the Dollar, 1997-2017 (in millions of dollars, except index values)

Index Value of Exports Imports Balances of Trade the Dollar (January, Motor Parts & Motor Parts & Motor Parts & Year 1997=100) Total Vehicles* Accessories Total Vehicles* Accessories Total Vehicles* Accessories

1997 104.44 $73,302 $26,940 $46,362 $139,492 $87,669 $51,823 -$66,190 -$60,729 -$5,461 1998 116.48 $72,386 $25,884 $46,502 $148,680 $93,954 $54,726 -$76,294 -$68,070 -$8,224 1999 116.87 $75,256 $25,289 $49,967 $178,241 $116,696 $61,545 -$102,985 -$91,407 -$11,578 2000 119.45 $80,357 $26,126 $54,231 $194,952 $128,241 $66,711 -$114,595 -$102,115 -$12,480 2001 125.91 $75,437 $25,387 $50,050 $188,747 $126,234 $62,513 -$113,310 -$100,847 -$12,463 2002 126.66 $78,941 $28,915 $50,026 $202,777 $133,631 $69,146 -$123,836 -$104,716 -$19,120 2003 119.09 $80,633 $32,347 $48,286 $209,171 $134,484 $74,687 -$128,538 -$102,137 -$26,401 2004 113.59 $89,213 $36,538 $52,675 $227,331 $143,482 $83,849 -$138,118 -$106,944 -$31,174 2005 110.81 $98,408 $43,971 $54,437 $238,714 $146,312 $92,402 -$140,306 -$102,341 -$37,965 2006 108.52 $107,264 $49,083 $58,181 $255,962 $160,135 $95,827 -$148,698 -$111,052 -$37,646 2007 103.40 $121,264 $60,777 $60,487 $258,498 $157,410 $101,088 -$137,234 -$96,633 -$40,601 2008 99.90 $121,453 $65,323 $56,130 $233,204 $141,825 $91,379 -$111,751 -$76,502 -$35,249 2009 105.69 $81,715 $39,974 $41,741 $159,188 $93,236 $65,952 -$77,473 -$53,262 -$24,211 2010 101.82 $112,007 $54,981 $57,026 $225,641 $131,344 $94,297 -$113,634 -$76,363 -$37,271 2011 97.15 $133,037 $66,772 $66,265 $255,226 $142,831 $112,395 -$122,189 -$76,059 -$46,130 2012 99.82 $146,159 $73,571 $72,588 $298,498 $170,253 $128,245 -$152,339 -$96,682 -$55,657 2013 100.98 $152,659 $77,125 $75,534 $309,574 $178,972 $130,602 -$156,915 -$101,847 -$55,068 2014 104.03 $159,811 $80,503 $79,308 $329,498 $186,087 $143,411 -$169,687 -$105,584 -$64,103 2015 117.06 $151,894 $72,477 $79,417 $350,049 $201,549 $148,500 -$198,135 -$129,016 -$69,119 2016 122.48 $150,310 $71,159 $79,151 $351,058 $204,300 $146,758 -$200,748 -$133,141 -$67,607 2017^ 122.13 $157,640 $73,031 $84,609 $359,849 $212,907 $146,942 -$202,209 -$139,876 -$62,333

Notes and abbreviations: * - new and used; ^ - initial estimates; earlier years may be revised.

Sources: Federal Reserve Board (1998-2018); U.S. Bureau of Economic Analysis (2018b).

Prepared by: Office of Research, Ohio Development Services Agency (DL, 9/18).

131 Table A17: History and Projections* for the U.S. Motor Vehicle Industry

Changes Actual 2006-2016 2016-2026 2006-2026 NAICS Projected Code Shorter Industry Title 2006 2016 2026 Number Percent Number Percent Number Percent

U.S. Gross Duplicated Output^ (in billions, standardized on 2009) Total $26,267.9 $28,178.0 $34,604.7 $1,910.1 7.3% $6,426.7 22.8% $8,336.8 31.7% 31-33 Manufacturing $5,298.3 $5,449.9 $6,509.8 $151.6 2.9% $1,059.9 19.4% $1,211.5 22.9% 3361-3 Transportation Eqpt. (part) $548.9 $649.5 $754.7 $100.6 18.3% $105.2 16.2% $205.8 37.5% 3361 Assembly $290.5 $325.5 $377.8 $35.0 12.0% $52.3 16.1% $87.3 30.1% 3362 Bodies & Trailers $36.5 $52.8 $64.4 $16.3 44.7% $11.6 22.0% $27.9 76.4% 3363 Parts $221.9 $271.2 $312.5 $49.3 22.2% $41.3 15.2% $90.6 40.8%

Jobs (in thousands) 2006 2016 2026 2006-2016 2016-2026 2006-2026 U.S. Total 148,988.2 156,063.8 167,582.3 7,075.6 4.7% 11,518.5 7.4% 18,594.1 12.5% 31-33 Manufacturing 14,155.8 12,348.1 11,611.7 -1,807.7 -12.8% -736.4 -6.0% -2,544.1 -18.0% 3361-3 Transportation Eqpt. (part) 1,070.0 940.1 928.8 -129.9 -12.1% -11.3 -1.2% -141.2 -13.2% 3361 Assembly 236.5 208.9 213.2 -27.6 -11.7% 4.3 2.1% -23.3 -9.9% 3362 Bodies & Trailers 178.8 151.2 146.0 -27.6 -15.4% -5.2 -3.4% -32.8 -18.3% 3363 Parts 654.7 580.0 569.6 -74.7 -11.4% -10.4 -1.8% -85.1 -13.0%

2006 2016 2026 2006-2016 2016-2026 2006-2026 Ohio Total 5,314.57 5,793.82 6,047.16 479.25 9.0% 253.33 4.4% 732.6 13.8% 31-33 Manufacturing 795.61 684.99 644.48 -110.62 -13.9% -40.51 -5.9% -151.1 -19.0% 3361-3 Transportation Eqpt. (part) 126.95 105.43 103.94 -21.51 -16.9% -1.49 -1.4% -23.0 -18.1% 3361 Assembly 28.08 21.85 22.95 -6.23 -22.2% 1.10 5.0% -5.1 -18.3% 3362 Bodies & Trailers 8.53 8.57 8.27 0.04 0.5% -0.30 -3.4% -0.3 -3.0% 3363 Parts 90.34 75.02 72.72 -15.33 -17.0% -2.30 -3.1% -17.6 -19.5%

Notes: * - Projections have not been made for tires (NAICS 32621) or storage batteries (335911). ^ - Gross Duplicated Output is greater than Gross Domestic Product because the latter is the final value of goods and services only, while the former also includes the value of intermediate goods and services.

Sources: ODJFS/LMI (2018); U.S. Bureau of Labor Statistics (2018).

Prepared by: Office of Research, Ohio Development Services Agency (DL, 11/18).

132 NOTES

1 These two figures are greater than corresponding Census Bureau estimates seen later in this report, probably due to slightly different industry definitions.

2 The base of the percentage is slightly higher than the U.S. BEA’s initial figure for 2016.

3 Including corporate headquarters.

4 Total company employment figures for the motor vehicle industry exclude sites employing less than 50 people.

5 The differing portions of industry GDP and VA from Ohio may be partially explained by the fact that GDP excludes the cost of purchased services included in VA, costs which may not be proportional from one state to another, as well as the fact that 2011 GDP figures are revised, while 2011 VA figures are not.

6 Model changeovers usually don’t cause severe disruption to assemblers because they’re normally done in two to four weeks in the summer. However, a major changeover may require extensive changes at the plant, new equip- ment must be de-bugged and proven, and glitches in production processes resolved (Levy, 2014: 31). Assemblers also have been disrupted by material shortages, troubled suppliers and quality issues (Levy, 2014: 14). Any one or combination of these issues could have been a factor in the delayed launch of the Cherokee.

7 Several caveats must be noted. Parts plants include assemblers’ parts plants and independent tier-1, -2, and -3 supplier plants – the latter regardless of their NAICS code. Only active suppliers are included; plants that are opening, closing or inactive are excluded. Also excluded are administrative and support establishments for sales, research and development, and other internal non-production services, as well as tooling companies (i.e., those selling machinery used by assemblers and suppliers to produce their goods), freight forwarders (i.e., independent transportation services), and trainers (i.e., educators). Finally, the ELM database is continually updated and re- vised, which means exact numbers may not be reproducible after awhile, and the information there-in is volun- teered by participating companies. For these reasons, there is no guarantee of accuracy beyond the aforemen- tioned criteria.

8 Specifically: Ahresty’s, GM’s and Honda’s foundries in Wilmington, Defiance and Celina, Fuyao’s automotive glass plant in Moraine, and GM-Isuzu’s and Daimler’s diesel engine plants in Moraine and Byesville. On the other hand, the Titan tire plant in Williams County has been excluded because it makes off-road tires.

133 9 Six plants excluded from the preceding section are included here because their output is dedicated to the motor vehicle industry: Ahresty’s foundry in Clinton, GM’s foundry in Defiance, Daimler’s diesel plant in Guernsey, Hon- da’s foundry in Mercer, and Fuyao’s glass plant and GM-Isuzu’s diesel plant in Montgomery. Conversely, Titan’s off-road tire plant in Williams has been excluded. These changes were made to improve accuracy in this section, and because comparability with the nation is not a concern in this section. Corresponding employment changes were made for the next section.

10 The number would be a little less if some joint-venture portions were credited to U.S.-based parent companies.

11 Again, most of these numbers and percentages would be a bit lower if some of the jobs were allocated to joint ven- ture partners with different home countries. This is particularly true for the Chinese companies. Allocations can seldom be made because the ownership portions are seldom known.

12 “102,800” as the 2016 employment figure in this section is less than the 107,400-plus given in preceding sections because the former excludes the Ahresty, GM and Honda foundries, the Fuyao glass plant, and the GM-Isuzu and Daimler diesel engine plants included in the latter; the former also includes the Titan off-road tire plant excluded from the latter. These changes enable comparisons with national trends.

13 Net changes are dependent on the beginning and ending points. Therefore, net changes are not necessarily indi- cative of long term trends, especially in smaller, more-specific industries.

14 Value-added and GDP figures are closely related. GDP computations begin with value-added (which is largely the difference between the value of shipments and the costs of labor and materials) and proceed by subtracting addi- tional costs such as services purchased by the manufacturing establishment. This explains why GDP figures are less than value-added figures.

15 The percentage of value-added for bodies and trailers in Ohio during 2004-2006 are greater than the percent of U.S. GDP originating in Ohio, leading one to believe that the former is concentrated here. However, the percent- ages for value-added in bodies and trailers – and the totals on which they are based – are not reliable because the relative standard errors of the bodies and trailers estimates are way too high (see U.S. Census Bureau, 2008a). Caution also is warranted for the assembly and parts value-added figures for 2009 and 2010 due to relatively high standard errors (U.S. Bureau of the Census, 2012a).

16 Using value-added in Ohio as a percentage of the nation removes the effects of inflation, making comparisons of

134 one year with any other more meaningful. It should also be noted that the decline in value added from 2002 to 2003 is inconsistent with the increases of GDP and light vehicle production for the same period (U.S. Bureau of the Census, 2005a; U.S. Bureau of Economic Analysis, 2016a; Ward’s, 2005).

17 Levy (2012: 23) gives partial credit to the “cash-for-clunkers” program for increasing light vehicle production in the first half of 2010.

18 These changes are evident to dealers and assemblers in as little as 60 days (, 2011).

19 Capital expenditures also vary with the size and degree of vertical integration of the company. GM and Ford generally spend more than the smaller and less vertically integrated Chrysler group (Levy, 2014: 25).

20 Two point need to be recognized: (1) the Bureau of Economic Analysis (BEA) counts all jobs in the industry regard- less of employee/non-employee status; consequently, the BEA’s numbers are greater than those from the Census Bureau’s County Business Patterns (this is consistent with the former’s measure of economic output); and (2) out- put and jobs are crude inputs for productivity; output does not account for shifting consumer preferences – in this case, from less expensive cars to more expensive light trucks, while the number of jobs may remain constant but the number of hours worked can vary – from less than full-time to overtime.

21 The Detroit Three have made substantial progress in matching the initial-quality and frequency-of-repair records of Japanese-brand assemblers. At the same time, though, assemblers’ recalls have risen. This probably is due to the increased use of electronics, tougher standards, and better reporting (Harbour Consulting, 2004).

22 The market share for U.S. brand imports usually has been less than two percent of total sales, and is therefore not discussed separately.

23 The three other Japanese brands sold here are Mazda, Mitsubishi and Subaru. The European assemblers selling here are , BMW, Daimler, FCA’s Fiat Group, , Jaguar-Land , Lotus, McLaren, Volvo and Volkswagen.

24 BMW, Daimler, Subaru, Tesla and Volkswagen are the five; AM General’s production was done for and included with Daimler’s.

25 Tesla might be considered an exception. Its 2017 U.S. sales are estimated at 48,000, while production at its only U.S. plant was 101,327. 135 26 Daimler’s principal N. American is Freightliner, but it also owns White and Sterling. Volvo bought Mack from in 2001 (Levy, 2014: 11) when the Renault needed funds to take a veto-stake in Nissan.

27 The G5a index from the Federal Reserve Board summarizes the value of the dollar against the currencies of major trading partners; it is a broadly-based general measure most appropriate for summarizing overall exports of goods.

28 Engine plants do not operate on a just-in-time basis to supply assemblers for these and other reasons; they use large storage facilities (Miles, 2018).

29 Most parts are intermediate goods produced as original equipment, not as final goods for the replacement market (Miles, 2018; Savaskan, 2018); tires are the notable exception (Lifschutz, 2018).

30 While reducing tariffs can increase trade, establishing tariffs does not always protect industries from foreign com- petition. Assemblers circumvented the infamous “” (a 25 percent tariff on complete imported light trucks in retaliation a tariff on exports of chickens) by importing nearly complete light trucks, which faced a much lower tariff rate, and installing engines here (Miles, 2018).

31 The export and import reports use U.N. harmonized coding system for trade – not NAICS codes. The specific codes used for this section are 8702-8708 plus 8716 because they closely match NAICS codes 3361-3363. The export and import report data ultimately are drawn from reports submitted to the Census Bureau, which uses state of origin and destination information for exports and imports. The origin and destination declarations are not nec- essarily the same as the state of manufacture for origin and the state of use or sale, but they often are. See the reports for specific details on the limitations.

32 Leasing is risky because manufacturers’ subsidiaries are taking chances on the prices they can get for used ve- hicles once leases expire; financing is loaning the buyers money – with interest – to purchase vehicles (Corridore, 2014: 11-12).

33 Rebates, discounts, etc. are intended to stimulate demand; their use is less likely with models already in high de- mand. Maintaining high demand reduces per-unit costs for assemblers and may lead to increased market share, but failure to lower overall costs at the same time simply reduces profit. In the latter instance, incentives can be counterproductive. Usage of rebates and discounts by light vehicle assemblers and their associated dealers was greatest in 1997-2008, but abated with the recession as the Detroit Three reduced capacity (Levy, 2012: 24). How- ever, they have returned with the intense competition in the then-largest market segment: mid-size cars (Levy,

136 2014: 5-6). Corridore (2014: 12) tells a similar story of overproduction and using residual value guarantees at lease’s end – an incentive – in the late 1990s, as one company attempted to increase its market share. These actions had the unintended consequence of flooding the market with used trucks a few years later, reducing their prices, and forcing lessors to take substantial write-downs. This was an exception to truck-makers usual practice of using incentives to stimulate sales only when necessary (Jaffe, 2010: 17).

34 Medium- and heavy-duty truck production is the more highly cyclical of the two (Corridore, 2014:11). Production during 2003-2013 ranged from 462,000 (2006) to 132,000 (2009), with the latter just 28.6 percent of the former. The production numbers in this range represented between 1.9 and 4.1 percent (2010 and 2006, respectively) of all motor vehicle production in the U.S., according to Ward’s statistics cited by Levy (2014: 10).

35 Medium- and heavy-duty truck assemblers also have and support networks of independent dealers with wholesale financing, marketing strategies and materials, etc. Dealers, in turn, sell to independent truck operators – persons who typically buy just one vehicle from inventory (Corridore, 2014: 18).

36 This is not always true. Scheinin (2016) recounts insights gained during a dashboard programming session with an expert on designing for human-computer interaction. He learned teams working on electronic components such as steering controls, the instrument panel and the center console may not talk to one another, even if they do not work for different companies (i.e., competitors); furthermore, designs may not be adequately tested. The problem is ex- acerbated by conflicting goals of assemblers and smart phone makers. Assemblers do not want drivers on their phones while driving, so they have created super multi-functional dashboards in competition with smart phones – one was accompanied with a 135-page manual. Meanwhile smart phone makers have created applications for projecting smart phone functions on to dashboard screens. Even when accommodating one another, matters can be complicated by different product life cycles: light vehicles – about five years, after two or three years of design; this contrasts with 18 months for smart phones. The myriad possibilities, the time required to learn systems, the unexpected results (or no results) to a series of commands, etc., can leave consumers befuddled.

37 One company appears to annually compile and publish suppliers’ evaluations of their relationships with assem- blers, noting any changes in the ratings of the latter by the former (Sweeney, 2018b).

38 Assemblers have faced challenges in dealing with higher costs for raw materials such as steel, copper, rubber and plastics due to increased demand for commodities. For both assemblers and suppliers, rapid growth in developing countries – particularly China – has been a significant long-term factor in such demand.

137 39 On the other hand, the reliance on one source for a component risks slow-downs or even stoppages at assembly plants when production slows down or stops at the plant where the component is made. For example, operations at seven Chrysler and three GM assembly plants slowed for lack of a single part because of hurricane-induced floods at the supplier in North Carolina (Associated Press, 1999). Similarly, Japanese assembly operations in N. America also were curtailed by floods in Japan and during 2011, allowing the Detroit Three to briefly regain some U.S. market share.

40 For example, Delphi – nka Aptiv – received help from GM when the former was in bankruptcy from 2005 to 2009 (Karush, 2006), and, after emerging from bankruptcy, in turn helped companies with purchasing and manufacturing shortly there-after (Levy, 2012: 25).

41 Parts makers were dismayed, though, when the transparency of on-line procurement put downward pressure on parts prices – particularly commodity items (Corridore, 2014: 13; Levy, 2014: 26).

42 In the U.S., new safety features usually are incorporated by regulation; in Europe, they typically originate with cus- tomer demand. Consequently, European parts makers historically have been leaders in this field (Levy, 2010: 19).

43 Using super strong adhesives in place of and bolts permits using thinner metal pieces, which reduces vehicle weight (Boudette, 2016).

44 The fuel efficiency of vehicles is increasing and greenhouse gas (GHG) emissions per driver are declining. This at least partially due to actions taken by the EPA as well as higher CAFE standards (Krisher and Durbin, 2016).

45 During much of that time, though, some of the fuel efficiency gains went to meet consumers’ preferences for more powerful engines instead of increasing miles per gallon (Levy, 2012: 16-17; Whoriskey, 2011). It also is fair to add that consumer preferences for more vs. less fuel-efficient vehicles varies with the price of gasoline; “In addition, efforts to reduce US energy dependence and the negative impact of fossil fuels are forces driving regulatory de- mands for higher fuel efficiency” (Levy, 2014: 13). (Also see Levy, 2012: 11, 15.)

46 Turbochargers are a moderately-priced, off-the-shelf technology that has been around for years, but only recently have they become sufficiently reliable for widespread use in gasoline engines. Turbochargers work by using ex- haust gases to turn a rotor that drives a compressor pumping more air into the combustion chamber, thus increas- ing power. Consequently, turbocharged engines may be made smaller, thereby improving fuel economy without sacrificing power; a modern turbocharged V-6 performs about like a V-8 without one. The Lordstown-made Cruze,

138 the Cleveland-made engine for Ford’s F-150, and any vehicle with a clean-diesel engine are examples of turbo- charger use (Gearino, 2010; Levy, 2012: 15; Sedgwick and Roy, 2010). Other possibilities for improving engine fuel efficiency include valve timing (Miles, 2018), automatic engine stops and restarts at traffic lights (some hybrids do this), using booster batteries during acceleration to supplement engines designed for maintaining speed, getting gasoline engines to diesel, and operating on three or four cylinders in a fuel-saving mode – a V6 engine made in Anna could do the last (Phelan, 2008).

47 Ford’s Sharonville plant makes six-speed transmissions (Ford, 2018) and GM’s Toledo plant makes six- and eight- speed transmissions (GM, 2018). CVTs were introduced to the U.S. mass market in 1987, but reliability problems lead to their discontinuation. Re-engineered CVTs have been reintroduced by Japanese-based companies as standard equipment on some high-volume models. Honda started making CVTs and related items few years ago at its Russells Point and Anna plants; their CVTs became standard equipment for Accords with I4 engines (Chap- pell, 2012; Rechtin, 2012).

48 A new shock absorber has no electromechanical valves or small moving parts; it uses iron particles suspended in a synthetic hydro-carbon fluid. When fully magnetized, the fluid become nearly plastic. A sensor and ECU combine to vary the degree of resistance in the shock absorber by continually checking and adjusting the level of magneti- zation. The ability to rapidly vary resistance makes for a smoother ride, better control and even faster travel on irregular road surfaces (drawn from Wikipedia, 2018).

49 Diesel and gasoline are liquid hydro-carbons derived from crude petroleum by a variety of processes. Natural gas is a generic term for methane and ethane – the two most common types – as well as propane, butane and other paraffin hydrocarbons. All natural gases are subject to processing before use (Parker, 1984). Honda’s Anna plant has made engines that use natural gas (Harbour Consulting, 2004), but Honda limited sales of vehicles with such engines to fleet operations. Ethanol is grain alcohol.

50 Ethanol can be fermented from a variety of plants; decades ago, farmers distilled it from corn for their own use. Sugarcane is another source. Brazilian officials claimed U.S. import duties of $.54 per gallon on sugarcane-based ethanol prevented the industry from developing even faster (Rohter, 2006; Wikipedia, 2018). Biological sources of diesel fuel have been developed and that fuel is being used, but it is not a significant part of the market and engine modification or restrictions on the amount used may be required. Furthermore, biodiesel production involves al- cohols (Wikipedia, 2018).

51 Octane ratings of gasoline are based on the ratio of 2,2,4-trimethylpentane, which has eight carbon atoms, to hep-

139 tane’s seven carbon atoms. Gasoline rated at 87 octane has a ratio of the former to the latter of 87 to 13. The more complex the molecular chain, the more it can be compressed before spontaneously igniting, allowing the engine to operate at a higher compression ratio and producing greater power. The octane rating of ethanol is typically 108-110 (Fischetti, 2006).

52 This statement recognizes concerns that so much corn was being used for ethanol that was less available as food for people and animals, and that prices of other corn-based products had consequently risen (see Mercer, 2008). Ceteris paribus, increasing demand for corn-based ethanol increases prices for corn and other corn-based pro- ducts. However, the relationship may not be so simple because other factors come into play. People may sub- stitute other products to replace corn, more farmers may choose to plant more corn in response to higher corn prices, and the variations in weather will always play a role (Koff, 2010).

53 The CAFE standards have some flexibility based on the composition of light vehicle sales. The 2016 light trucks- to-cars sales ratio yields yielded a 50.8 miles per gallon standard (Krisher and Durbin, 2016). The situation is further complicated by credits for things like reduced emissions from air-conditioners and electric vehicle sales, all of which may translate into a real-world target of 40 miles per gallon (Boudette, 2016). GM favors a more gradual approach to increasing fuel efficiency, neither the ambitious goals of the Obama administration, which it calls tech- nologically unfeasible and economically impracticable, nor the currently proposed freeze on standards. (The un- derlying tradeoff is between added costs and reduced oil consumption and their consequences.) GM also favors maintaining the $7,500 federal tax credit for EVs, increased federal R&D spending on battery technology and a national building code requiring new housing units be equipped with recharging equipment (Shepardson, 2018).

54 Current hybrid vehicles combine battery-powered electric motors with gasoline-fueled internal combustion (IC) engines to turn the wheels while reducing fuel consumption in the latter. Some turn the wheels only with battery- powered motors and use the IC engine to recharge the battery while others use both power sources to turn the wheels. However, it needs to be emphasized that battery-powered electric motors can be combined with any type of IC engine using any type of fuel to create a hybrid system (Levy, 2010: 18; Wikipedia, 2018). While hybrid tech- nologies are used in light vehicles (Boudette, 2016; EVBox, 2018), it may be difficult to apply them to medium- and heavy-duty trucks because the latter need more power (Savaskan, 2018). Hybrid vehicles often incorporate add- itional technologies:

• using thermocouples to convert heat from IC engines and exhaust systems into electricity (Mayhood, 2008); • running the vehicle’s electrical components from the batteries instead of the engine; • shutting off the IC engine when the vehicles is not moving;

140 • reducing engine size which, ceteris paribus, reduces fuel consumption; • replacing the familiar four-stroke cycle IC engine with the less powerful but more fuel efficient two-stroke cycle engine; and • capturing via regenerative braking energy that would otherwise be lost: “Just as a motor can transform electrical energy stored in a battery into torque (the force that produces wheel rotation and hauling power), the process can run in reverse so that the torque created by slowing a moving car generates electricity that can be accumu- lated in the battery” (Romm and Frank, 2006: 74-75).

Simply shutting off the IC engine during stops improves fuel economy about 10 percent; using all technologies may improve fuel economy up to 60 percent, but entails greater complexity and cost. U.S.-based companies have fa- vored the former, while Japanese-based companies have tended to the latter (Jones, 2008b).

55 IC engines produce variable amounts of torque; consequently, transmissions are needed to keep IC engines within a range of revolutions per minute (RPMs) producing near maximum torque. This contrasts with electric motors, which produce nearly the same amount of torque at all RPMs, substantially reducing or eliminating the need for transmissions (Savaskan, 2018).

56 The specific length of time varies from model to model and depends on how many miles are driven per year as well as the price of fuel (Romm and Frank, 2006). Edmunds estimated it takes an average of six years to recoup the greater initial cost of a hybrid, assuming gasoline costs $4.00 per gallon (cited by Levy, 2012:13). The time would be even longer at lower gasoline prices and after including the recharging equipment and operating costs (Krisher, 2016). On the production side, executives have complained that prices do not cover costs (Tschampa, 2014; with the Prius a notable exception (Chang, 2014)). Nevertheless, assemblers have persisted because they do not want to be shut out of the California market, which is thought to set trends for other states and the nation, and whose Air Resources Board mandates percentages of zero emissions vehicles (Eisenstein, 2012; Reuters, 2018). EVBox (2018), a Dutch charging equipment manufacturing company, records 17 assemblers making 74 hybrid and solely battery-powered models.

57 Similar information for light trucks is not readily available. Meanwhile, considering only models “sold exclusively with electrified powertrains” underestimates EV sales numbers and market share because sales of models where buyers opted for the electrified powertrain are not readily available.

58 Greater EV numbers would require a power grid capable of handling the increased load. This could include people charging vehicles in anticipation of power loss in a storm. A grid often takes days to completely recover from a

141 disaster, while gas stations can quickly reopen if they have generators to power their pumps (Schnably, 2010).

59 The magnitude of the gasoline production and distribution network is indicated by County Business Patterns counts of 197 petroleum refineries (NAICS 32411) and 111,076 gasoline stations (447) in the U.S. in 2016 (U.S. Bureau of the Census, 2018b).

60 While Truett (2016) focused on technical requirements and limitations, Carty (2016) pondered potential social and behavioral problems that could confound the most ardent proponents of fully autonomous vehicles. Her list of ques- tions, compiled with the help of contributors, follows:

1. “Do autonomous cars become magnets for carjackers, who could pretty much just step out in front of a car to make it stop? Could you hijack an autonomous delivery truck the same way?” 2. “How does the car know whether the last passenger really exited? What if that person is a creepy criminal who hides in the back seat as the car heads off to get its next passenger?” 3. “Will the driverless car become the 1970s subway car of the future, decorated by taggers and van- dals, inside and out?” 4. “What happens when you are heading to the airport and you get a mile from home and realize you left your passport on the kitchen table? What if it's your cellphone you left behind?” 5. “Won't these vehicles end up being the best drug couriers? What if you unwittingly get in a car that is carrying someone else's drugs? Will ‘I'm sorry, your Honor, but that's not my cocaine’ ever fly in court?” 6. “How many different ‘games’ can bored teens come up with? Will there be autonomous-vehicle surfing, with passengers climbing onto the roof while the car is driving? Will there be frat-house challenges to see how many pledges can jam into one car?” 7. “What happens if a drunken or carsick passenger throws up in a shared car? Who makes sure it doesn't just head out to pick up a new passenger? Who cleans up the mess? And honestly, can you ever really get rid of that smell?” 8. “How do these cars not end up being a hot spot for amorous teens?” 9. “What about when the flu or next big virus is sweeping through an area? Do shared autonomous vehicles be- come breeding grounds for germs?” (Carty, 2016).

Some of these concerns also would be relevant for self-driving shuttles and buses. It should also be noted transit drivers are the ones accommodating passengers with disabilities, communicating with authorities after accidents or vehicle breakdowns, and initially dealing with improvised re-routes, medical emergencies or problem riders.

61 How IBIS World calculates industry GDP (industry value added, or IVA, in their reports) appears to differ from the U.S. BEA’s method.

142 62 Two point need to be made: (1) the USMCA is about 1,000 pages long and covers many industries; only selected highlights related to the motor vehicle industry are mentioned here; and (2) quotas on vehicle imports from Canada are sufficiently high that Honda’s and Toyota’s sales are unhindered, but they must adjust to the new local content rules under USMCA (Buckland and Jie, 2018).

63 There are contradictory stories on this point. On one hand, Mexico anticipates steel tariffs will be lifted with the signing of the USMCA (Reuters, 2018a). One the other hand, U.S. motor vehicle industry executive have their doubts about this (Kulisch, 2018c). 64 Pending U.S.-Japan trade negotiations would do little to open the Japanese market to U.S.-made vehicles because Japanese consumers have little interest in them. They still base their evaluations of American vehicles on their 1980s reputations as oversized gas guzzlers of lower quality. Except for Jeep, exports to Japan usually can be counted in the hundreds (Greimel, 2018).

65 Much higher fuel efficiency is possible now. A study by Lotus Engineering concluded that a gasoline-powered, three-seat car could get 127 miles per gallon on the highway by using composite body panels, an aluminum frame placing a 600-cc motorbike engine under the rear seats. It would weigh 1,150 pounds, remain crash-worthy and cost about $10,000 (unadjusted for inflation). It also would incorporate the latest electronic technology such as voice command and a heads-up display (Sedgwick, 2012a). However, consumer acceptance of such vehicles is an open question. Lotus is an exotic car assembler in the same market as Ferrari, , Maserati, etc.

66 Two bits of trivia: (1) interest on a loan to purchase a motor home is tax deductible as a second home mortgage, and (2) “reefer” is industry slang for a refrigerated trailer (Savaskan, 2018).

67 Comparisons to the state of Ohio in this regard are instructive: (1) state-collected taxes for Ohio in 2017 totaled $25,384,800,000 (Ohio Dept. of Taxation, 2018: table 3); and (2) there were 108,469 full-time and 76,720 part-time employees, which, when combined, amounted to the equivalent of 135,594 full-time jobs for Ohio’s state government in March, 2012 (U.S. Bureau of the Census, 2014d).

68 , Ford’s president and CEO at the time, and one analyst believed that Ford would have failed along with GM and Chrysler without the governmental assistance provided to the latter two because it would not have been able to get parts. The analyst argued that the parts industry was in worse shape than the assemblers (Keane, 2012).

69 Since the initial announcement, GM has stated 2,700 of the 3,300 factory jobs at the four U.S. plants slated for

143 closure will be saved by adding jobs at eight other GM plants; i.e., the blue-collar workers will be offered transfers. However, few of the white-collar jobs can be saved. Some of those laid-off and not transferring to other GM plants will retire (Krisher, 2018). Still, GM’s decision to stop production will ripple through the supplier network, leading to layoffs at potentially hundreds of tier-1 and tier-2 companies in northeast Ohio and elsewhere in N. America. Not all will be affected to the same degree: some, such as ArcelorMittal and Goodyear, anticipate little or no impact, and officials at GM’s Parma stamping plant appear to be unworried; other suppliers have diversified their customer base since the last recession and anticipate a smaller impact than seen in past downturns; but a seat supplier and a service company (whose sole business was delivering parts to the assembly line just in time) have announced they will close (Staff report, 2019, and Grzelewski, 2018b, respectively), a combined loss of 300 jobs. What con- cerns some economists is laid-off workers generally finding lower-paying new jobs (Funk, 2018). GM’s announce- ment of Lordstown’s closure may be the last step in a slide that initially began about two years ago (Staff, 2016).

70 72.1 percent of the fiscal 2017 total came from its motor vehicle business with the remainder from its other pro- ducts and services (Honda, 2018).

144 SOURCES AND REFERENCES CITED

4-Traders, 2016 “Tower: Brings Structure to the Auto World,” found at .

Adams, David, 1998 “Plants can’t catch up,” Akron Beacon Journal, July 16, pp. D1-D2.

Ahmed, Shiraz, 2018 “Trump administration rolls out latest autonomous vehicle testing guidance,” Automotive News, October 4, found at .

Ahresty, 2018 Information found at .

Airstream Media, 2018 “Airstream Announces Major Expansion,” February 26, found at .

Akron Beacon-Journal, 2018 “Ohio Turnpike to add first electric vehicle charging stations,” Akron Beacon-Journal, October 23, found at .

Althaus, Dudley, and Christina Rodgers, 2016 “’s Nafta [sic] Plan Would Confront Globalized Auto Industry,” Journal, November 10. Article found at .

Associated Press, 1999 “Flooding slows auto production,” Columbus Dispatch, September 23, p. 2B.

Automotive News, 2009-2018 Statistics and annual reports found at .

145 Balmert, Jessie, and Jackie Borchardt, 2018 “Ohio tried to stop General Motors from leaving Lordstown. It didn’t work.” Cincinnati Enquirer, November 29, found at .

Balusik, Chris, 2018 “Kenworth parent signals outlook for future growth is strong,” Chillicothe Gazette, July 25, found at .

Barkholz, David, 2018 “Rotisserie-made Wranglers the next course in Jeep manufacturing,” Toledo Blade, November 17, found at .

Beene, Ryan, 2018 “Self-driving car industry needs better metrics, DOT official says,” Bloomberg, October 24, found at .

Bigelow, Pete, 2018 “Ready for self-driving future? Sorry, it’s drizzling out,” Rubber and Plastics News, November 30, found at .

______, 2018b “As California’s autonomous vehicle population doubles, so do crashes,” Rubber and Plastics News, December 13, found at .

Bloomberg, 2018 Data on many companies found at by entering the company name followed by “bloomberg” into a search engine.

146 ______, and Automotive News staff, 2018 “VW says it might use Ford manufacturing capacity in the U.S.,” Automotive News, December 4, found at .

Boudette, Neal, 2016 “The Superglue Diet: How to Make a Light, Fuel-Sipping Car,” the August 11 on-line version of an August 12 New York Times article on p. B1: “Innovation, but Not a Lot of Progress, on Fuel Goals.”

Buckland, Kevin, and Ma Jie, 2018 “Toyota, Honda dodge bullet under Canada, U.S. trade pact,” Bloomberg, October 1, found at .

Carty, Sharon, 2016 “How humans could ruin the autonomous era,” Automotive News, October 24. Article found at .

Chappell, Lindsay, 2012 “Shifting into no gear,” Automotive News, July 30, found at .

Chang, Kenneth, 2014 “A Road Test of Alternative Fuel Visions,” November 18. Article found at .

Choi, Charles Q., 2006 “Biodiesel Is Better,” Scientific American, September, p. 38.

Clifford, Tyler, 2018 “Rush sells stake in Detroit Manufacturing Systems, steps down as CEO,” Crain’s Detroit Business, August 6, found at .

147 Corridore, Jim, 2014 “ & Trucks,” Standard & Poor’s Industry Surveys (July). New York, NY: the McGraw-Hill Cos.

Crain’s Cleveland Business, 2018a Goodyear’s Akron employment figure found at .

______, 2018b “Fair tradeoffs,” October 7, found at .

Dawson, Chester, and William Boston, 2018 “Auto Makers Consider Shifting More Manufacturing to North America,” Wall Streel Journal, October 5, found at .

Durbin, Dee-Ann, 2006 “New car? Join the crowd,” Columbus Dispatch, April 15, pp. D1-D2.

Eisenstein, Paul A., 2012 “Automakers gear up for a green holiday season,” NBC News contribution.

ELM Analytics, LLC, 2018 Data developed from .

EVBox, 2018 Data found at .

Falvey, Cheryl, et.al., 2018 “Autonomous vehicle incidents: Who’s liable?” Automotive News, October 1, found at .

Federal Reserve Board, 1998-2018 Federal Reserve Bulletin (various months). Washington, D.C.: U.S. Government Printing Office. Table 3.28. Also .

Fiat Chrysler Automobiles (FCA) NV, 2018 Information found at . 148 Fischetti, Mark, 2006 “Carbon Hooch,” Scientific American, June, pp. 88-89.

Ford, 2018 Information found at .

Fortune, 2018 See the Fortune U.S.-1,000 and Global-500 at for various data.

Funk, John, 2018 “Hundreds of Ohio companies will feel ripple effect of Lordstown idling Cruze” Cleveland Plain Dealer, December 9, found at .

Gaines, Robin L., 1999 “Automotive Parts,” The U.S. Industry and Trade Outlook `99. New York, N.Y.: the McGraw-Hill Cos., pp. 37-1 – 37-10.

Gearino, Dan, 2010 “Success by subtraction?” Columbus Dispatch, November 27, pp. A8-A9.

______, 2016a “Taking a new turn,” Columbus Dispatch, October 23, pp. G1 & G4.

______, 2016b “Lighter, stronger, curvier,” Columbus Dispatch, November 23, pp. C1 & C3.

______, 2016c “AEP raises proposed rates to add tech features,” Columbus Dispatch, November 29, pp. C1 & C3.

______, 2016d “Tesla adds charging station near I-71,” Columbus Dispatch, December 24, pp. C1 & C5.

General Motors (GM), 2018 Information found at . 149 Ghose, Carrie, 2018 “Marysville to test smart intersections, 1,200 connected vehicles to create safety blueprint for U.S. ,” Colum- bus Business First, November 20, found at .

Gnau, Tom, 2017 “Kettering manufacturer sees surging stock prices in past year,” Dayton Daily News, February 1, found at .

Gott, Phil, et.al., 1999 “Motor Vehicles,” The U.S. Industry and Trade Outlook `99. New York, N.Y.: the McGraw-Hill Cos., pp. 36.1-36.13.

Green, Jeff, 2006 “Ethanol use expected to keep growing, GM executive says,” Columbus Dispatch, May 22, p. 1.

Greimel, Hans, 2018 “Japan braces for bilateral trade talks with autos in the crosshairs,” Automotive News, October 1, found at .

______, and Michael Wayland, 2018 “Honda brings special skill to GM’s Cruise self-driving venture,” Automotive News, October 8, found at .

Grzelewski, Jordyn, 2018a “More than 300 jobs for GM Lordstown workers to apply for,” Youngstown Vindicator, December 14, found at .

______, 2018b “GM Lordstown supplier announces permanent closure,” Youngstown Vindicator, December 20, found at .

______, and Ed Runyan, 2018 “Officials look for ways to save Lordstown plant,” Youngstown Vindicator, November 28, found at .

150 Hagerty, James R., and Mike Ramsey, 2014 “Super Glues Are the Secret to Making Cars Lighter.” Article found at .

Harbour Consulting, 2004, 2006 The Harbour Reports: North America 2004, 2006. Troy, Mi.: the Co.

Henry, Megan, 2018 “Biz Blog: the Bottom Line,” Columbus Dispatch, November 28, p. B12.

Heywood, John B., 2006 “Fueling Our Transportation Future,” Scientific American, September, pp. 60-63.

Hirtenstein, Anna, 2018 “How batteries are improving despite drawbacks, risks,” Automotive News, October 18, found at .

Honda, 2018 Form 20-F found at ; also see and .

Hoover’s, 2018 Information found at .

Irwin, John, 2016 “Honda Clarity Fuel Cell gets EPA-rated 366-mile range,” Automotive News, October 16. Article found at .

______, 2018 “Parsing what GM means by closing ‘unallocated’ plants,” Youngstown Vindicator, November 28, found at .

Jacobs, Jennifer, and Jenny Leonard, 2018 “U.S. holds off on car tariffs – for now,” November 13, found at

151 .

Jaffe, Michael, 2010 “Heavy Equipment & Trucks,” Standard & Poor’s Industry Surveys (June 17). New York, NY: the McGraw-Hill Cos.

Jibrell, Anisa, and Danielle Szatkowski, 2018 “Tenneco closing 2 plants amid ride control restructuring, moving work to Kettering,” Automotive News, October 26, found at .

Jones, Roland, 2008a “Future murky for hydrogen-powered Clarity,” June 25. Article found at .

______, 2008b “Future hybrids could be worth waiting for,” June 20. Article found at .

Kageyama, Yuri, 2008 “Fuel-cell car a better ride, Honda says,” Columbus Dispatch, May 25, p. D6.

Karush, Sarah, 2006 “Delphi workers offered buyouts,” Columbus Dispatch, June 10, pp. C1-C2.

Keane, Angela G., 2012 “Ford would have shut without GM, Chrysler aid, Rattner says,” Automotive News, October 9. Article found at .

______, and Jeff Green, 2010 “GM, Ford hybrids get U.S. boost,” Columbus Dispatch, November 26, pp. A6-A7.

Kenworth, 2018 Information found at .

Klayman, Ben, et.al., 2018 “U.S. auto sales expected to dip in 2019, NADA says,” Reuters, December 13, found at

152 .

Koff, Stephen, 2010 “Corn prices could have ripple effect next year,” Columbus Dispatch, December 30, pp. A12-A13.

Krisher, Tom, 2016 “Chevy Bolt isn't stylish, but GM is pushing its practicality,” Post-Gazette, November 29, found at .

______, 2018 “GM aims to soften impact of layoffs,” Columbus Dispatch, December 15, p. C5.

______, and Dee-Ann Durbin, 2016 “EPA to keep gas mileage standards in place,” Columbus Dispatch, December 1, p. C2.

Kulisch, Eric, 2018a “Auto industry, UAW await details on NAFTA rewrite,” Automotive News, October 1, found at .

______, 2018b “In NAFTA update, Trump rebuilt what he wrecked in TPP,” Automotive News, October 9, found at .

______, 2018c “Auto industry on edge with USMCA trade pact signing near,” Crain’s Detroit Business, November 20, found at .

LaForest, Audrey, 2018 “JCI to sell auto battery business for $13.2B,” November 14, Plastics News, found at https://www.plasticsnews.com/article/20181114/NEWS/181119962/jci-to-sell-auto-battery-business-for-13- 2b#utm_medium=email&utm_source=pn-auto&utm_campaign=pn-auto-20181119&email_auto/date_20181119

Lawrence, Eric D., 2018 153 “Fiat Chrysler’s Manley announces new leadership for Jeep, Ram,” Detroit Free Press, October 2, found at .

Levy, Efraim, 1999 “Autos & Auto Parts,” Standard & Poor’s Industry Surveys (June 17). New York, NY: the McGraw-Hill Cos.

______, 2004 “Autos & Auto Parts,” Standard & Poor’s Industry Surveys (June 24). New York, NY: the McGraw-Hill Cos.

______, 2010 “Autos & Auto Parts,” Standard & Poor’s Industry Surveys (June 24). New York, NY: the McGraw-Hill Cos.

______, 2012 “Autos & Auto Parts,” Standard & Poor’s Industry Surveys (June 21). New York, NY: the McGraw-Hill Cos.

______, 2014 “Autos & Auto Parts,” Standard & Poor’s Industry Surveys (July). New York, NY: the McGraw-Hill Cos.

Lexis-Nexis, 2018 Corporate Affiliations, located at .

Lifschutz, Marisa, 2018 IBIS World Industry Reports, NAICS code 32621. Report found at .

Ludlow, Randy, 2016 “On a high-tech roll,” Columbus Dispatch, December 1, pp. C1 & C5.

MAC Trailer, 2018 Information found at .

Mansfield News Journal, 2017 Found at .

Manta, 2018

154 Information found at .

Mayhood, Kevin, 2008 “OSU device converts heat, sunlight into electricity,” Columbus Dispatch, July 25, pp. B1-B2.

McCafferty, Rachel A., 2018 “Diversified Northeast Ohio economy will help suppliers weather storm from GM plant shutdown in Lordstown,” Crain’s Cleveland Business, December 2. Found at .

Medore, Josh, 2018 “Trade Deal will Be Boon for Automotive, Chemical Sectors,” Youngstown Business Journal, November 8, found at .

Miles, Robert, 2018 IBIS World Industry Reports, NAICS codes 33631, 33634. Reports found at .

Minnesota IMPLAN Group, 2018 Proprietary economic impact estimation software: IMPLAN 4.1.0, Ohio model; data are from 2016.

Mitchell, Russ, 2016 “Getting a boost,” Columbus Dispatch, November, pp. C1 & C4.

Naughton, Keith, and Joe Deaux, 2018 “Ford’s Hinrichs says make U.S. steel costliest in the world,” Automotive News, October 18, found at .

Navistar, 2018 Information found at .

Neil, Dan, 2006 “High-voltage ,” Columbus Dispatch, August 5, p. G1.

155 Office of Management and Budget, 1998 North American Industry Classification System: United States, 1997. Lanham, Md.: Bernan Press.

Office of Research, 2016a, 2018a International Corporate Investment in Ohio Operations. Columbus, Oh.: Ohio Development Services Agency.

______, 2015b-2018b Private Investment Survey. Columbus, Oh.: Ohio Development Services Agency.

______, 2018c Ohio Exports Report: 2017. Columbus, Oh.: Ohio Development Services Agency.

______, 2018d Ohio Imports Report: 2017. Columbus, Oh.: Ohio Development Services Agency.

Ohio Dept. of Job and Family Services/Labor Market Information (ODJFS/LMI), 2018 “Ohio Job Outlook,” found at http://ohiolmi.com/proj/OhioJobOutlook.htm>.

Ohio Dept. of Taxation, 2018 Annual Report: Fiscal Year 2017, found at .

Olsen, Patrick, 2018 “Automated Driving Systems Rankings,” Consumer Reports, October 4, found at .

Paccar, 2018 Information found at .

Parker, Sybil P. (Ed.), 1984 McGraw-Hill Dictionary of Scientific and Technical Terms (3rd ed.). New York, NY: the Co.

Petrillo, Nick, 2016 IBIS World Industry Reports, NAICS code 33634. Report found at .

156 Phelan, Mark, 2008 “Industry’s challenge: Making domestic cars fun, efficient,” Columbus Dispatch, July 13, pp. D1-D2.

Pogue, David, 2018 “Driving Mr. Pogue,” Scientific American, Vol. 319, No. 5 (November), p. 24.

Prat, Raimundo, 1998 “Rubber,” U.S. Industry & Trade Outlook `99. New York: the McGraw-Hill Cos., pp. 12.1-12.8.

Randall, Tom, 2018 “Waymo will launch first commercial service in U.S. next month, report says,” Automotive News, November 13, found at < http://www.autonews.com/article/20181113/COPY01/311139969/waymo-driverless-taxi- arizona>.

Rappeport, Alan, 2018 “Trump Claims Trade Victories but Businesses Struggle Under His Approach,” New York Times, October 9, found at .

Rechtin, Mark, 2012, “Honda’s redesigned Accord targets leading fuel economy, safety,” Automotive News, found at .

Regional Growth Partnership, 2017 Major employers list found at .

Reuters, 2011, “Gasoline price rises give automakers ,” Automotive News, January 17, found at .

______, 2018a “Mexico expects U.S. to begin lifting tariffs with trade deal signing,” Reuters, November 20, found at .

______, 2018b 157 “California to phase in electric, fuel-cell transit buses,” Reuters, December 14, found at .

Rohter, Larry, 2006 “In Brazil, cars run sweetly on sugar,” Columbus Dispatch, April 16, pp. B1-B2.

Romm, Joseph J. and Andrew A. Frank, 2006 “Hybrid Vehicles Gain Traction,” Scientific American 292: 4 (April), pp. 72-79.

Rosenberg, Mark, 2018 “Bowling Green tire retreading plant to reopen under new ownership,” Toledo Blade, June 11, found at

Rubber and Plastics News Staff, 2018 “USTMA expects 2.7% increase in tire shipments,” Rubber News, December 6, found at .

Salem News, 2018 “MAC’s hiring,” March 9, found at .

Sanctis, Matt, 2016 “Navistar to add 300 jobs in Springfield with second GM deal,” Springfield News Sun, June 9. Article found at .

______, Mark, 2018 “GM unveils new Silverado to be built in Springfield,” March 7, found at .

Sandusky County Economic Development Corp., 2018 “Top 20 Industrial Employers” found at .

Savaskan, Devin, 2018 IBIS World Industry Reports, NAICS codes 33611a, 33611b, 33612, 33621, 33632, 33633, 33635-33639. Reports found at . 158 Scheinin, Richard, 2016 “High-tech dash,” Columbus Dispatch, November 7, pp. C1 & C5.

Schnably, Stephen, 2010 “Letters,” Scientific American, November, p. 12.

Schlesinger, Jacob M., et.al., 2018 “U.S. and Canada Reach Nafta [sic] Deal,” Wall Street Journal, October 1, found at .

Sedgwick, David, 2012a “Design study: 127 mpg is possible with compromises,” Automotive News, July 16, found at .

______, 2012b “Leaner suppliers win pricing power,” Automotive News, November 19, found at .

______, 2018 “EV forecasts push engine parts makers to act,” Automotive News, December 15, found at .

______, and Ray Roy, 2010 “Turbos surge as low-cost route to CAFE compliance,” Automotive News, November 1, found at .

Shepardson, David, 2018 “GM says Obama-era fuel efficiency rules are not feasible,” Automotive News, October 29, found at .

Shingler, Dan, 2016a “Report: Ohio leading the way in fuel cell industry,” December 8. Article found at .

159 Shiraz, Ahmed, 2018 “Ohio shuttle showdown highlights autonomous vehicle hurdles,” Rubber and Plastic News, September 25, found at .

Somerville, Heather, 2018 “GM’s driverless car bet is hitting speed bumps, missing milestones, report says,” Automotive News, October 24, found at .

Staff, 2016 “GM Lordstown Suppliers Announce Layoffs,” Youngstown Business Journal Daily, November 23. Article found at .

Sweeney, Chris, 2018a “Auto industry grapples with multiple forces shaking up business,” Rubber News, November 19, found at .

______, 2018b “Year in Review: Supplier, OEM relationships take a hit in 2018,” Rubber News, December 18, found at .

Taylor, Edward, 2016 “VW Buys 17% Navistar Stake; Full Merger Is Possible,” Automotive News, September 6. Article found at .

The Alliance, 2015 “Greater Findlay Region Major Employer List,” The Alliance, June. List found at .

The Lima News, 2016 - used again in 2018 “Largest employers in Lima area,” Lima News, March 6. List found at .

160 Thomas, Ken, 2008 “Test-drive of the future,” Columbus Dispatch, September 8, pp. C11-C12.

Toloken, Steve, 2018 “Fiat Chrysler sells Magneti to Japan’s ,” Plastics News, October 23, found at

Torry, Harriet, “Nafta [sic] Rewrite Won’t Boost U.S. Growth, Economists Say,” Wall Street Journal, October 11, found at .

Truett, Richard, 2016 “Fully autonomous vehicles won’t arrive for a long time,” Automotive News, October 10. Article found at .

______, 2018 “Amid EV hype, the internal combustion engine keeps improving,” Automotive News, November 12, found at .

Tschampa, Dorothee, 2014 “Mercedes puts Tesla tech under the hood to chase BMW,” Automotive News, November 3, found at .

U.S. Bureau of the Census, 2001a-2018a 1999-2016 Annual Surveys of Manufactures: Geographic Area Statistics M(AS). Washington, D.C.: PDFs and -readable files found at . There are no surveys covering Economic Census years (the latter end in 2 or 7).

______, 2008b-2018b 2006-2016 County Business Patterns (Ohio & U.S.). Washington, D.C.: PDF and machine-readable files found at .

______, 2000c, 2005c, 2010c, 2015c

161 1997, 2002, 2007 & 2012 Economic Censuses: Manufacturing, Geographic Area Series (Ohio). Data available at .

______, 2014d 2012 public employment data for state governments found at .

U.S. Bureau of Economic Analysis (BEA), 2018a Gross Domestic Product by Industry, and Employment by Industry 1997-2016 [machine-readable databases]/ prepared by the Bureau. Washington, D.C.: the Bureau [producer and ]. Found at .

______, 2018b Survey of Current Business, 96:7 (July). Recent data found at .

U.S. Bureau of Labor Statistics (BLS), 2018 Quarterly Census of Employment and Wages (QCEW) data found at ; projections found at .

Various, 2018 “GM SMACKS OHIO,” Columbus Dispatch, November 27, pp. A1 & A7.

Vellequette, Larry P., 2008 “Maumee firm builds prototype of electric vehicle,” June 16. Found at .

Vlasic, Bill, 2016 “New Rules Require Heavy-Duty Trucks to Reduce Emissions by 25% Over the Next Decade,” the August 16 on- line version of an August 17 New York Times article on p. B1.

Wasson, Erik, and Andrew Mayeda, 2018 “Key House Democrat demands changes to new NAFTA deal,” November 14, found at .

Wayne County Economic Development Council, 2015 “Top Employers,” data found at .

162 Webb, Alysha, 2012 “Full Speed Ahead,” Automotive News, November 12, found at .

White, Joseph B., 2014 “The Race for a Self-Driving Car: Detroit Strikes Back,” found at .

Whoriskey, Peter, 2011 “Fuel efficiency not driving auto sales,” Columbus Dispatch, January 3, pp. A6-A7.

Wikipedia, 2018 Various pages found at . Some material may have been found on earlier pages.

Wire Reports, 2018 “Ford, VW may collaborate on electric, self-driving cars,” Columbus Dispatch, November 10, p. C2.

Wood, Bill, 2018 “Peak vehicle sales have passed, only minor dip ahead,” Plastics News, October 10, found at .

WTOL, 2018a “Maumee based DANA Corporation announces $6 billion acquisition,” March 10, found at .

______, 2018b “Dana Inc. reaches expansion deal,” July 31, found at .

163