The Division of Labor and Economic Development
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Aggregate Productivity Growth: Lessons from Microeconomic Evidence
Aggregate Productivity Growth: Lessons from Microeconomic Evidence Lucia Foster, John Haltiwanger and C.J. Krizan* June 2000 * Respectively, Bureau of the Census; University of Maryland, Bureau of the Census, and NBER; and Fannie Mae and Bureau of the Census. We thank Tomas Dvorak for helpful research assistance. The analyses and results presented in this paper are attributable to the authors and do not necessarily reflect concurrence by the Bureau of the Census. 1 I. Overview Recent research using establishment and firm level data has raised a variety of conceptual and measurement questions regarding our understanding of aggregate productivity growth.1 Several key, related findings are of interest. First, there is large scale, ongoing reallocation of outputs and inputs across individual producers. Second, the pace of this reallocation varies over time (both secularly and cyclically) and across sectors. Third, much of this reallocation reflects within rather than between sector reallocation. Fourth, there are large differentials in the levels and the rates of growth of productivity across establishments within the same sector. The rapid pace of output and input reallocation along with differences in productivity levels and growth rates are the necessary ingredients for the pace of reallocation to play an important role in aggregate (i.e., industry) productivity growth. However, our review of the existing studies indicates that the measured contribution of such reallocation effects varies over time and across sectors and is sensitive to measurement methodology. An important objective of this paper is to sort out the role of these different factors so that we can understand the nature and the magnitude of the contribution of reallocation to aggregate productivity growth. -
1- TECHNOLOGY Q L M. Muniagurria Econ 464 Microeconomics Handout
M. Muniagurria Econ 464 Microeconomics Handout (Part 1) I. TECHNOLOGY : Production Function, Marginal Productivity of Inputs, Isoquants (1) Case of One Input: L (Labor): q = f (L) • Let q equal output so the production function relates L to q. (How much output can be produced with a given amount of labor?) • Marginal productivity of labor = MPL is defined as q = Slope of prod. Function L Small changes i.e. The change in output if we change the amount of labor used by a very small amount. • How to find total output (q) if we only have information about the MPL: “In general” q is equal to the area under the MPL curve when there is only one input. Examples: (a) Linear production functions. Possible forms: q = 10 L| MPL = 10 q = ½ L| MPL = ½ q = 4 L| MPL = 4 The production function q = 4L is graphed below. -1- Notice that if we only have diagram 2, we can calculate output for different amounts of labor as the area under MPL: If L = 2 | q = Area below MPL for L Less or equal to 2 = = in Diagram 2 8 Remark: In all the examples in (a) MPL is constant. (b) Production Functions With Decreasing MPL. Remark: Often this is thought as the case of one variable input (Labor = L) and a fixed factor (land or entrepreneurial ability) (2) Case of Two Variable Inputs: q = f (L, K) L (Labor), K (Capital) • Production function relates L & K to q (total output) • Isoquant: Combinations of L & K that can achieve the same q -2- • Marginal Productivities )q MPL ' Small changes )L K constant )q MPK ' Small changes )K L constant )K • MRTS = - Slope of Isoquant = Absolute value of Along Isoquant )L Examples (a) Linear (L & K are perfect substitutes) Possible forms: q = 10 L + 5 K Y MPL = 10 MPK = 5 q = L + K Y MPL = 1 MPK = 1 q = 2L + K Y MPL = 2 MPK = 1 • The production function q = 2 L + K is graphed below. -
Oecd Compendium of Productivity Indicators 2005
OECD COMPENDIUM OF PRODUCTIVITY INDICATORS 2005 ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT Pursuant to Article 1 of the Convention signed in Paris on 14th December 1960, and which came into force on 30th September 1961, the Organisation for Economic Co-operation and Development (OECD) shall promote policies designed: • To achieve the highest sustainable economic growth and employment and a rising standard of living in member countries, while maintaining financial stability, and thus to contribute to the development of the world economy. • To contribute to sound economic expansion in member as well as non-member countries in the process of economic development; and • To contribute to the expansion of world trade on a multilateral, non-discriminatory basis in accordance with international obligations. The original member countries of the OECD are Austria, Belgium, Canada, Denmark, France, Germany, Greece, Iceland, Ireland, Italy, Luxembourg, the Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. The following countries became members subsequently through accession at the dates indicated hereafter: Japan (28th April 1964), Finland (28th January 1969), Australia (7th June 1971), New Zealand (29th May 1973), Mexico (18th May 1994), the Czech Republic (21st December 1995), Hungary (7th May 1996), Poland (22nd November 1996), Korea (12th December 1996) and the Slovak Republic (14th December 2000). The Commission of the European Communities takes part in the work of the OECD (Article 13 of the OECD Convention). © OECD 2005 FOREWORD Over the past few years, productivity and economic growth have been an important focus of OECD work. -
Contemporary Theories of Economic Development
Development Economics 355 Lecture Notes 3-1 Week 3-4 notes (TS ch. 4, E. ch. 8) Contemporary Theories of Economic Development • These notes cover some more recent theories of economic growth and development. • We look at departures from the neoclassical framework of unique equilibrium and perfectly functioning markets. I. Underdevelopment as coordination failure • Emphasis on complementarities between various conditions necessary for successful development • Complementarity: when an action taken by one firm or individual increases the incentives of (makes it more profitable or less costly for) other economic agents to take similar actions (this action does not have to be a good thing!) • Examples: corruption, not throwing garbage on the street; using Windows, QWERTY, etc. Ask students for more examples! * complementarities involve positive externalities across agents (the more I do something, the cheaper for you is to do the same; the more people do something, the cheaper/better for others to do the same). * can create status quo bias – being stuck in a possibly bad situation (e.g. most people using Windows today because DOS was very successful early on). Very hard to make people switch. * In contrast, when we have negative externalities (e.g. congestion), doing more of something makes it harder/more expensive to do the same (e.g. traffic on two bridges) – everyone wants to do the opposite (not the same) action (e.g. take the other bridge). 2. Coordination failure : a state of affairs in which agents’ inability to coordinate their behavior (choices) leads to a stable outcome (equilibrium) in which they are all worse off than in an alternative situation (also equilibrium). -
An Application of a Big Push Model to Nigerian Economy
International Journal of Economics, Commerce and Management United Kingdom Vol. III, Issue 4, April 2015 http://ijecm.co.uk/ ISSN 2348 0386 ENTREPRENEURIAL INNOVATION AND CO-ORDINATION FAILURE: AN APPLICATION OF A BIG PUSH MODEL TO NIGERIAN ECONOMY Kadiri Kayode School of Management Science National, Open University Of Nigerian, Nigeria [email protected] Genevieve Kelikume Center For Lifelong Learning National, Open University Of Nigeria, Nigeria [email protected] Atoyebi Kehinde Olusegun Lagos State University, Department Of Economics, Faculty of Social Sciences, Nigeria [email protected] Abstract This study critically examines the interconnectivity between entrepreneur innovation and co- ordination failure in Nigeria. This study follows the standard assumption of the big-push model by developing a model that analyses the causes of co-ordination failure as well as the government failure. This study observes that as a result of the structure of Nigeria economy presently, state intervention in the establishment of state owned enterprises should be reduced to enhance entrepreneur participation in employment generation and productivity improvement because of the rent seeking behaviour by a particular interest group who may disallowing successfulness of government policy. Though, the big-push policy is needed to pave way for industrialization. Keywords: Entrepreneurs innovation, co-ordination failure, big push, state owned enterprises. Licensed under Creative Common Page 1 © Kadiri, Genevieve & Atoyebi INTRODUCTION Entrepreneur’s innovation according to Schumpeter (1928,1939) is a perpetual gales of creative destruction which serves as the driving forces of growth rates in a capitalist system. Schumpeter is was not a technological determinist but recognized the social and organization forces that played the key role in his cyclical process of industrial change. -
Market Size, Division of Labor, and Firm Productivity
NBER WORKING PAPER SERIES MARKET SIZE, DIVISION OF LABOR, AND FIRM PRODUCTIVITY Thomas Chaney Ralph Ossa Working Paper 18243 http://www.nber.org/papers/w18243 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 July 2012 We are grateful to Pol Antras, Holger Breinlich, Alejandro Cunat, Elhanan Helpman, Gianmarco Ottaviano, Henry Overman, Stephen Redding, and Tony Venables. We also thank the editor, Robert W. Staiger, and two anonymous referees, for their thoughtful comments. All remaining errors are ours. This work extends the second chapter of Ossa’s Ph.D. dissertation originally entitled "Trade Liberalization, Outsourcing, and Firm Productivity". The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer- reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications. © 2012 by Thomas Chaney and Ralph Ossa. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. Market Size, Division of Labor, and Firm Productivity Thomas Chaney and Ralph Ossa NBER Working Paper No. 18243 July 2012 JEL No. F10,F12,L22,L25 ABSTRACT We generalize Krugman's (1979) 'new trade' model by allowing for an explicit production chain in which a range of tasks is performed sequentially by a number of specialized teams. We demonstrate that an increase in market size induces a deeper division of labor among these teams which leads to an increase in firm productivity. -
Economic Development (2-Downloads)
The Developed and Developing World Income GNI per capita, World Bank Atlas method, 2007 Greenland (Den) Low-income countries ($935 or less) Faeroe Lower-middle-income countries ($936–$3,705) Islands Iceland (Den) Upper-middle-income countries ($3,706–$11,455) Norw High-income countries ($11,456 or more) The Netherlands Canada United Kingdom no data Isle of Man (UK) Denm Ireland Ge Channel Islands (UK) Belgium Luxembourg France Switzerl I Liechtenstein Andorra Spain United States Monaco Portugal Bermuda Gibraltar (UK) (UK) Tu British Virgin Islands (UK) Middle East & North Africa Morocco The Bahamas Algeria Mexico Dominican $2,794 Former Republic Spanish Cayman Islands (UK) Puerto Sahara Cuba Rico (US) US Virgin St. Kitts and Nevis Islands (US) Antigua and Barbuda Mauritania Belize Jamaica Haiti Cape Verde Guadeloupe (Fr) Mali N Guatemala Honduras Aruba Dominica Senegal Martinique (Fr) El Salvador (Neth) St. Lucia The Gambia Nicaragua Barbados Guinea-Bissau Burkina Faso Guinea Panama Benin Costa Rica Trinidad St. Vincent and the Grenadines Niger and Tobago Grenada Sierra Leone Côte Ghana d'Ivoire Netherlands R.B. de French Guiana Liberia Ca Antilles (Neth) Venezuela Guyana (Fr) Togo Colombia Equato Kiribati Latin America & Caribbean Suriname São Tomé and Príncipe Ecuador $5,540 Peru Brazil French Polynesia (Fr) Bolivia Brazil Paraguay $5,910 Uruguay Chile Argentina Source: Data from Atlas of Global Development, 2nd ed., pp. 10–11. © Collins Bartholomew Ltd., 2010. Russian Federation Europe & Central Asia $7,560 $6,051 Sweden way Finland Russian Federation Estonia Latvia nmark Lithuania Czech Republic Belarus Slovak Republic Poland ermany Slovenia m Croatia Ukraine Kazakhstan Austria Hungary Moldova Serbia rland Romania Bosnia and Herzegovina Mongolia Italy FYR Macedonia Montenegro Bulgaria Uzbekistan Georgia Kyrgyz Republic Albania Azerbaijan Dem. -
Labour Productivity
Labour productivity Introduction Labour productivity is an important economic indicator that is closely linked to economic growth, competitiveness, and living standards within an economy. Labour productivity represents the total volume of output (measured in terms of Gross Domestic Product, GDP) produced per unit of labour (measured in terms of the number of employed persons) during a given time reference period. The indicator allows data users to assess GDP-to-labour input levels and growth rates over time, thus providing general information about the efficiency and quality of human capital in the production process for a given economic and social context, including other complementary inputs and innovations used in production Given its usefulness in conveying valuable information on a country’s labour market situation, it was one of the indicators used to measure progress towards the achievement of the Millennium Development Goals (MDGs), under Goal 1 (Eradicate poverty and hunger), and it was included as one of the indicators proposed to measure progress towards the achievement of the Sustainable Development Goals (SDG), under Goal 8 (Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all). 1 ILOSTAT presents ILO estimates and projections on labour productivity, both in constant 2005 US$ and in constant 2011 international $ in Purchasing Power Parity (PPP).2 Concepts and definitions Productivity represents the amount of output per unit of input. In ILOSTAT’s indicator, output is measured as gross domestic product (GDP) for the aggregate economy expressed at purchasing power parities (PPP) to account for price differences in countries. The GDP represents the monetary value of all goods and services produced within a country over a specified period of time. -
Department of Economics
DEPARTMENT OF ECONOMICS Working Paper Problematizing the Global Economy: Financialization and the “Feudalization” of Capital Rajesh Bhattacharya Ian Seda-Irizarry Paper No. 01, Spring 2014, revised 1 Problematizing the Global Economy: Financialization and the “Feudalization” of Capital Rajesh Bhattacharya1 and Ian J. Seda-Irizarry2 Abstract In this essay we note that contemporary debates on financialization revolve around a purported “separation” between finance and production, implying that financial profits expand at the cost of production of real value. Within the literature on financialization, we primarily focus on those contributions that connect financialization to global value-chains, production of knowledge- capital and the significance of rent (ground rent, in Marx’s language) in driving financial strategies of firms, processes that are part of what we call, following others, the feudalization of capital. Building on the contributions of Stephen A. Resnick and Richard D. Wolff, we problematize the categories of capital and capitalism to uncover the capitalocentric premises of these contributions. In our understanding, any discussion of the global economy must recognize a) the simultaneous expansion of capitalist economic space and a non-capitalist “outside” of capital and b) the processes of exclusion (dispossession without proletarianization) in sustaining the capital/non-capital complex. In doing so, one must recognize the significance of both traditional forms of primitive accumulation as well as instances of “new enclosures” in securing rent for dominant financialized firms. Investment in knowledge-capital appears as an increasingly dominant instrument of extraction of rent from both capitalist and non-capitalist producers within a transformed economic geography. In our understanding, such a Marxian analysis renders the separation problem an untenable proposition. -
Mckinsey Global Institute (MGI) Has Sought to Develop a Deeper Understanding of the Evolving Global Economy
A FUTURE THAT WORKS: AUTOMATION, EMPLOYMENT, AND PRODUCTIVITY JANUARY 2017 EXECUTIVE SUMMARY Since its founding in 1990, the McKinsey Global Institute (MGI) has sought to develop a deeper understanding of the evolving global economy. As the business and economics research arm of McKinsey & Company, MGI aims to provide leaders in the commercial, public, and social sectors with the facts and insights on which to base management and policy decisions. The Lauder Institute at the University of Pennsylvania ranked MGI the world’s number-one private-sector think tank in its 2015 Global Think Tank Index. MGI research combines the disciplines of economics and management, employing the analytical tools of economics with the insights of business leaders. Our “micro-to-macro” methodology examines microeconomic industry trends to better understand the broad macroeconomic forces affecting business strategy and public policy. MGI’s in-depth reports have covered more than 20 countries and 30 industries. Current research focuses on six themes: productivity and growth, natural resources, labor markets, the evolution of global financial markets, the economic impact of technology and innovation, and urbanization. Recent reports have assessed the economic benefits of tackling gender inequality, a new era of global competition, Chinese innovation, and digital globalization. MGI is led by four McKinsey & Company senior partners: Jacques Bughin, James Manyika, Jonathan Woetzel, and Frank Mattern, MGI’s chairman. Michael Chui, Susan Lund, Anu Madgavkar, Sree Ramaswamy, and Jaana Remes serve as MGI partners. Project teams are led by the MGI partners and a group of senior fellows and include consultants from McKinsey offices around the world. -
DEVELOPMENT THEORY and the ECONOMICS of GROWTH Jaime
1 DEVELOPMENT THEORY AND THE ECONOMICS OF GROWTH Jaime Ros University of Notre Dame June 1999 DRAFT 2 Contents Introduction 1. The book’s aim and scope 2. Overview of the book 1. Some stylized facts 1. Incomes per capita across the world 2. Growth rates since 1965 Appendix 2. A mature economy: growth and factor accumulation 1. The Solow model 2. Empirical shortcomings 3. Extensions: technology and human capital 4. Endogenous investment rates Appendix 3. Labor surplus economies 1. The Lewis model 2. Are savings rates correlated with profit shares? 3. Surplus labor and the elasticity of labor supply 4. Efficiency wages and underemployment Appendix 4. Increasing returns, external economies, and multiple equilibria 3 1. Increasing returns to scale and efficiency wages 2. Properties and extensions 3. Empirical evidence Appendix 5. Internal economies, imperfect competition and pecuniary externalities 1. The big push in a multisectoral economy 2. Economies of specialization and a Nurksian trap 3. Vertical externalities: A Rodan-Hirschman model 6. Endogenous growth and early development theory 1. Models of endogenous growth 2. Empirical assessment 3. A development model with increasing returns and skill acquisition 7. Trade, industrialization, and uneven development 1. Openness and growth in the neoclassical framework 2. The infant industry argument as a case of multiple equilibria 3. Different rates of technical progress 4. Terms of trade and uneven development Appendix 8. Natural resources, the Dutch disease, and the staples thesis 1. On Graham's paradox 2. The Dutch disease under increasing returns 3. Factor mobility, linkages, and the staple thesis 4. An attempt at reconciliation: Two hybrid models Appendix 9. -
Neoliberalism and the SSA Theory of Long-Run Capital Accumulation
Neoliberalism and the SSA Theory of Long-Run Capital Accumulation by David M. Kotz Economics Department and Political Economy Research Institute Thompson Hall University of Massachusetts Amherst, MA 01003 U.S.A. Telephone 413-545-0739 Fax 413-545-2921 E-mail [email protected] January, 2003 Abstract: The social structure of accumulation theory faces a challenge arising from the persistence of neoliberalism, which does not appear to promote rapid capital accumulation. This paper suggests an alternative interpretation of institutional change, in which liberal and "regulationist" institutional structures alternate with one another, with the latter more favorable for capital accumulation. It examines the reasons why these two types of institutional structures arise, concluding that neoliberalism may persist for some time. JEL Codes: E11 (heterodox macro), N40 (history of government and regulation), P17 (capitalist systems–performance and prospects) Keywords: Neoliberalism; accumulation; regulation; institutions. This is the final manuscript version of a paper published in Review of Radical Political Economics, Volume 35, Number 3, Summer 2003, pp. 263-270. 1. Introduction The social structure of accumulation (SSA) theory offers an explanation for alternating long periods of rapid and slow capital accumulation in a capitalist economy and the world capitalist system. The SSA theory argues that the creation of a coherent set of institutions favorable for capital accumulation – the SSA – sets off a long period of rapid growth, which ends when the SSA collapses, ushering in a long period of relative stagnation. According to Gordon et. al. (1982), the US has had three SSA's to date, in the 1840s–70s, the 1890s–1910s (or 1920s), and the 1940s–1970s.