OFF‑FARM VALUE CHAIN and MARKET SYSTEMS ANALYSIS Feed the Future Ethiopia Livelihoods for Resilience – Oromia | Food for Peace Development Food Security Activity

Total Page:16

File Type:pdf, Size:1020Kb

OFF‑FARM VALUE CHAIN and MARKET SYSTEMS ANALYSIS Feed the Future Ethiopia Livelihoods for Resilience – Oromia | Food for Peace Development Food Security Activity OFF‑FARM VALUE CHAIN AND MARKET SYSTEMS ANALYSIS Feed the Future Ethiopia Livelihoods for Resilience – Oromia | Food for Peace Development Food Security Activity March 2018 Rural off‑farm activities are among the most common livelihood strategies of households responding to the adverse effects of climate change, land degradation and other shocks. They offer self‑employment opportunities and diversified sources of income, particularly to youth and landless people. Photo: geneward2/iStock This publication was possible thanks to the generous support of the people of the United States of America, through the United States Agency for International Development. The contents are the responsibility of Catholic Relief Services and do not necessarily reflect the views of USAID or the United States Government. A report for Catholic Relief Services Prepared by Loyya Consults, Addis Ababa, Ethiopia Contact: Beyene Tadesse Telephone: +251 911 52 33 30 Email: [email protected] Technical editor: Solveig Bang Design and production: Bang Magnusson Catholic Relief Services is the official international humanitarian agency of the United States Catholic community. CRS’ relief and development work is accomplished through programs of emergency response, HIV, health, agriculture, education, microfinance and peacebuilding. CRS eases suffering and provides assistance to people in need in more than 100 countries, without regard to race, religion or nationality. Copyright © 2018 Catholic Relief Services. Any reproduction, translation, derivation, distribution or other use of this work is prohibited without the express permission of Catholic Relief Services (“CRS”). Please obtain permission from [email protected] or write to: Catholic Relief Services 228 West Lexington Street Baltimore, MD 21201‑3443 USA 1.888.277.7575 crs.org CONTENTS Figures & Tables .............................................................................................................................................................................................. iv Glossary of local terms ................................................................................................................................................................................... v Acronyms .......................................................................................................................................................................................................... vi 1. Executive summary ...................................................................................................................................................................................... 1 1.1. Introduction ....................................................................................................................................................................................................................1 1.2. Objectives .......................................................................................................................................................................................................................1 1.3. Methodological approach ............................................................................................................................................................................................1 1.4. Major findings .................................................................................................................................................................................................................2 1.5. Summary ..........................................................................................................................................................................................................................8 2. Introduction .................................................................................................................................................................................................. 9 2.1. Background......................................................................................................................................................................................................................9 2.2. Objectives .................................................................................................................................................................................................................... 10 2.3. Scope and limitations .................................................................................................................................................................................................11 3. Methodological approach ......................................................................................................................................................................... 12 3.1. Data sources and collection methods ....................................................................................................................................................................12 3.2. Data collection process .............................................................................................................................................................................................14 3.3. Data analysis methods ...............................................................................................................................................................................................16 3.4. Review of policies, strategies and countries’ experiences ...............................................................................................................................16 4. Identification and selection of off‑farm activities ................................................................................................................................ 18 4.1. Identification of off‑farm activities ..........................................................................................................................................................................18 4.2. Selection of off‑farm activities .................................................................................................................................................................................18 4.3. Gender dimension of off‑farm activities .............................................................................................................................................................. 20 5. Value chain and market systems analyses of selected off‑farm activities ....................................................................................... 21 5.1. Value chain and market systems analysis of food catering shops ...................................................................................................................21 5.2. Value chain and market systems analysis of retail shops ................................................................................................................................. 29 5.3. Value chain and market systems analysis of baltina agro‑processing ............................................................................................................ 35 5.4. Value chain and market systems analysis of animal‑drawn carts ................................................................................................................... 40 5.5. Value chain and market systems analysis of woodwork .................................................................................................................................. 44 5.6. Value chain and market systems analysis of construction ............................................................................................................................... 48 5.7. Value chain and market systems analysis of sisal rope production ...............................................................................................................51 5.8. Value chain and market systems analysis of hairdressing ................................................................................................................................ 55 5.9. Value chain and market systems analysis of bakeries ........................................................................................................................................ 59 5.10. Value chain and market systems analysis of weaving ...................................................................................................................................... 62 6. Technical support and stakeholders ....................................................................................................................................................... 65 6.1. Support providing bureaus and TVETs ................................................................................................................................................................. 65 6.2. Financial institutions ...................................................................................................................................................................................................67 6.3. Nongovernmental organizations ............................................................................................................................................................................ 68 7. General opportunities and challenges ...................................................................................................................................................
Recommended publications
  • Districts of Ethiopia
    Region District or Woredas Zone Remarks Afar Region Argobba Special Woreda -- Independent district/woredas Afar Region Afambo Zone 1 (Awsi Rasu) Afar Region Asayita Zone 1 (Awsi Rasu) Afar Region Chifra Zone 1 (Awsi Rasu) Afar Region Dubti Zone 1 (Awsi Rasu) Afar Region Elidar Zone 1 (Awsi Rasu) Afar Region Kori Zone 1 (Awsi Rasu) Afar Region Mille Zone 1 (Awsi Rasu) Afar Region Abala Zone 2 (Kilbet Rasu) Afar Region Afdera Zone 2 (Kilbet Rasu) Afar Region Berhale Zone 2 (Kilbet Rasu) Afar Region Dallol Zone 2 (Kilbet Rasu) Afar Region Erebti Zone 2 (Kilbet Rasu) Afar Region Koneba Zone 2 (Kilbet Rasu) Afar Region Megale Zone 2 (Kilbet Rasu) Afar Region Amibara Zone 3 (Gabi Rasu) Afar Region Awash Fentale Zone 3 (Gabi Rasu) Afar Region Bure Mudaytu Zone 3 (Gabi Rasu) Afar Region Dulecha Zone 3 (Gabi Rasu) Afar Region Gewane Zone 3 (Gabi Rasu) Afar Region Aura Zone 4 (Fantena Rasu) Afar Region Ewa Zone 4 (Fantena Rasu) Afar Region Gulina Zone 4 (Fantena Rasu) Afar Region Teru Zone 4 (Fantena Rasu) Afar Region Yalo Zone 4 (Fantena Rasu) Afar Region Dalifage (formerly known as Artuma) Zone 5 (Hari Rasu) Afar Region Dewe Zone 5 (Hari Rasu) Afar Region Hadele Ele (formerly known as Fursi) Zone 5 (Hari Rasu) Afar Region Simurobi Gele'alo Zone 5 (Hari Rasu) Afar Region Telalak Zone 5 (Hari Rasu) Amhara Region Achefer -- Defunct district/woredas Amhara Region Angolalla Terana Asagirt -- Defunct district/woredas Amhara Region Artuma Fursina Jile -- Defunct district/woredas Amhara Region Banja -- Defunct district/woredas Amhara Region Belessa --
    [Show full text]
  • Van Der Lee 2018 Supplmat Cluster Upgrading
    Supplementary material 1 Basic Data on Study Areas Table A shows basic data on dairy production as compared to crop production and other livestock. Figures A and B give a schematic representation of dairy value chains in both countries. Table A. Basic agricultural sector data for the study areas Ethiopia Kenya (2014 data) (2014–15 ) Nandi Nyandarua Arsi East Shoa Population 753,000 659,848 2,637,657 1,356,342 Arable land (ha) 193,020 201,100 818,132 526,211 Area cropped (ha, excl.tea 1)) 104,916 81,929 631,736 473,124 Livestock (heads) Dairy cattle 251,455 314,810 2) Zebu cattle 45,584 30,620 Cattle 2,454,324 1,116,744 Small ruminants 70,048 426,027 Small ruminants 2,356,854 932,064 Poultry 605,097 445,145 Poultry 2,188,076 1,439,821 Equines n.a. 10,633 Equines 678,711 330,603 Rabbits n.a. 44,670 Pigs 145 879 Milk production 84 226 Milk production 136 44 (Million kg) 2) Agricultural turnover (Million KES) (Million kg) Milk 2,537 7,216 n.a. n.a. Potatoes 400 7,800 Cereals 1,369 877 Maize 2,700 421 Pulses 134 152 Other grains 12 232 Oilseeds 23 0 Beans 1,900 48 Vegetables 12 19 Tea *) n.a -- Root crops 53 36 Other 276 1,769 Permanent crops 11 3 Sources: [39,40] Source: www.csa.gov.et 1) Tea statistics are maintained at national level 2) Data for 2013–2014 The dairy sector in both countries is undergoing significant change.
    [Show full text]
  • ETHIOPIA - National Hot Spot Map 31 May 2010
    ETHIOPIA - National Hot Spot Map 31 May 2010 R Legend Eritrea E Tigray R egion !ª D 450 ho uses burned do wn d ue to th e re ce nt International Boundary !ª !ª Ahferom Sudan Tahtay Erob fire incid ent in Keft a hum era woreda. I nhabitan ts Laelay Ahferom !ª Regional Boundary > Mereb Leke " !ª S are repo rted to be lef t out o f sh elter; UNI CEF !ª Adiyabo Adiyabo Gulomekeda W W W 7 Dalul E !Ò Laelay togethe r w ith the regiona l g ove rnm ent is Zonal Boundary North Western A Kafta Humera Maychew Eastern !ª sup portin g the victim s with provision o f wate r Measle Cas es Woreda Boundary Central and oth er imm ediate n eeds Measles co ntinues to b e re ported > Western Berahle with new four cases in Arada Zone 2 Lakes WBN BN Tsel emt !A !ª A! Sub-city,Ad dis Ababa ; and one Addi Arekay> W b Afa r Region N b Afdera Military Operation BeyedaB Ab Ala ! case in Ahfe rom woreda, Tig ray > > bb The re a re d isplaced pe ople from fo ur A Debark > > b o N W b B N Abergele Erebtoi B N W Southern keb eles of Mille and also five kebeles B N Janam ora Moegale Bidu Dabat Wag HiomraW B of Da llol woreda s (400 0 persons) a ff ected Hot Spot Areas AWD C ases N N N > N > B B W Sahl a B W > B N W Raya A zebo due to flo oding from Awash rive r an d ru n Since t he beg in nin g of th e year, Wegera B N No Data/No Humanitarian Concern > Ziquala Sekota B a total of 967 cases of AWD w ith East bb BN > Teru > off fro m Tigray highlands, respective ly.
    [Show full text]
  • Local History of Ethiopia Ma - Mezzo © Bernhard Lindahl (2008)
    Local History of Ethiopia Ma - Mezzo © Bernhard Lindahl (2008) ma, maa (O) why? HES37 Ma 1258'/3813' 2093 m, near Deresge 12/38 [Gz] HES37 Ma Abo (church) 1259'/3812' 2549 m 12/38 [Gz] JEH61 Maabai (plain) 12/40 [WO] HEM61 Maaga (Maago), see Mahago HEU35 Maago 2354 m 12/39 [LM WO] HEU71 Maajeraro (Ma'ajeraro) 1320'/3931' 2345 m, 13/39 [Gz] south of Mekele -- Maale language, an Omotic language spoken in the Bako-Gazer district -- Maale people, living at some distance to the north-west of the Konso HCC.. Maale (area), east of Jinka 05/36 [x] ?? Maana, east of Ankar in the north-west 12/37? [n] JEJ40 Maandita (area) 12/41 [WO] HFF31 Maaquddi, see Meakudi maar (T) honey HFC45 Maar (Amba Maar) 1401'/3706' 1151 m 14/37 [Gz] HEU62 Maara 1314'/3935' 1940 m 13/39 [Gu Gz] JEJ42 Maaru (area) 12/41 [WO] maass..: masara (O) castle, temple JEJ52 Maassarra (area) 12/41 [WO] Ma.., see also Me.. -- Mabaan (Burun), name of a small ethnic group, numbering 3,026 at one census, but about 23 only according to the 1994 census maber (Gurage) monthly Christian gathering where there is an orthodox church HET52 Maber 1312'/3838' 1996 m 13/38 [WO Gz] mabera: mabara (O) religious organization of a group of men or women JEC50 Mabera (area), cf Mebera 11/41 [WO] mabil: mebil (mäbil) (A) food, eatables -- Mabil, Mavil, name of a Mecha Oromo tribe HDR42 Mabil, see Koli, cf Mebel JEP96 Mabra 1330'/4116' 126 m, 13/41 [WO Gz] near the border of Eritrea, cf Mebera HEU91 Macalle, see Mekele JDK54 Macanis, see Makanissa HDM12 Macaniso, see Makaniso HES69 Macanna, see Makanna, and also Mekane Birhan HFF64 Macargot, see Makargot JER02 Macarra, see Makarra HES50 Macatat, see Makatat HDH78 Maccanissa, see Makanisa HDE04 Macchi, se Meki HFF02 Macden, see May Mekden (with sub-post office) macha (O) 1.
    [Show full text]
  • Ethiopia Bellmon Analysis 2015/16 and Reassessment of Crop
    Ethiopia Bellmon Analysis 2015/16 And Reassessment Of Crop Production and Marketing For 2014/15 October 2015 Final Report Ethiopia: Bellmon Analysis - 2014/15 i Table of Contents Acknowledgements ................................................................................................................................................ iii Table of Acronyms ................................................................................................................................................. iii Executive Summary ............................................................................................................................................... iv Introduction ................................................................................................................................................................ 9 Methodology .................................................................................................................................................. 10 Economic Background ......................................................................................................................................... 11 Poverty ............................................................................................................................................................. 14 Wage Labor ..................................................................................................................................................... 15 Agriculture Sector Overview ............................................................................................................................
    [Show full text]
  • Pulses in Ethiopia, Their Taxonomy and Agricultural Significance E.Westphal
    Pulses in Ethiopia, their taxonomy andagricultura l significance E.Westphal JN08201,579 E.Westpha l Pulses in Ethiopia, their taxonomy and agricultural significance Proefschrift terverkrijgin g van degraa dva n doctori nd elandbouwwetenschappen , opgeza gva n derecto r magnificus, prof.dr .ir .H .A . Leniger, hoogleraar ind etechnologie , inne t openbaar teverdedige n opvrijda g 15 maart 1974 desnamiddag st evie ruu r ind eaul ava nd eLandbouwhogeschoo lt eWageninge n Centrefor AgriculturalPublishing and Documentation Wageningen- 8February 1974 46° 48° TOWNS AND VILLAGES DEBRE BIRHAN 56 MAJI DEBRE SINA 57 BUTAJIRA KARA KORE 58 HOSAINA KOMBOLCHA 59 DE8RE ZEIT (BISHUFTU) BATI 60 MOJO TENDAHO 61 MAKI SERDO 62 ADAMI TULU 8 ASSAB 63 SHASHAMANE 9 WOLDYA 64 SODDO 10 KOBO 66 BULKI 11 ALAMATA 66 BAKO 12 LALIBELA 67 GIDOLE 13 SOKOTA 68 GIARSO 14 MAICHEW 69 YABELO 15 ENDA MEDHANE ALEM 70 BURJI 16 ABIYAOI 71 AGERE MARIAM 17 AXUM 72 FISHA GENET 16 ADUA 73 YIRGA CHAFFE 19 ADIGRAT 74 DILA 20 SENAFE 75 WONDO 21 ADI KAYEH 76 YIRGA ALEM 22 ADI UGRI 77 AGERE SELAM 23 DEKEMHARE 78 KEBRE MENGIST (ADOLA) 24 MASSAWA 79 NEGELLI 25 KEREN 80 MEGA 26 AGOROAT 81 MOYALE 27 BARENIU 82 DOLO 28 TESENEY 83 EL KERE 29 OM HAJER 84 GINIR 30 DEBAREK 85 ADABA 31 METEMA 86 DODOLA 32 GORGORA 87 BEKOJI 33 ADDIS ZEMEN 88 TICHO 34 DEBRE TABOR 89 NAZRET (ADAMA 35 BAHAR DAR 90 METAHARA 36 DANGLA 91 AWASH 37 INJIBARA 92 MIESO 38 GUBA 93 ASBE TEFERI 39 BURE 94 BEDESSA 40 DEMBECHA 95 GELEMSO 41 FICHE 96 HIRNA 42 AGERE HIWET (AMB3) 97 KOBBO 43 BAKO (SHOA) 98 DIRE DAWA 44 GIMBI 99 ALEMAYA
    [Show full text]
  • Next Stage for Dairy Development in Ethiopia
    The NEXT STAGE IN DAIRY DEVELOPMENT FOR ETHIOPIA Dairy Value Chains, End Markets and Food Security Cooperative Agreement 663-A-00-05-00431-00 Submitted by Land O'Lakes, Inc. P.O. Box 3099 code 1250, Addis Ababa, Ethiopia November 2010 2 TABLE OF CONTENT Pages ACRONYMNS…………………………………………………………………………………. 5 EXECUTIVE SUMMARY …………………………………………………………………... 6 1. OVERVIEW OF THE DAIRY SUB-SECTOR STUDY………………………………….10 1.1. The Role of the Dairy Sub-Sector in the Economy of Ethiopia 1.1.1. Milk Production and its Allocation 1.1.2 Livestock and Milk in the household economy 1.2. The Challenges 1.3. A Value Chain Approach 1.4. The Tasks and the Study Team 2. DEMAND FOR MILK AND MILK PRODUCTS…………………………………….…. 15 2.1. Milk Consumption 2.1.1. Milk and Milk Product Consumption in Urban Areas 2.1.2. Milk and Milk Product Consumption in Rural Areas 2.1.3. Milk and Milk Product Consumption in Pastoral Areas 2.2. Milk Consumption Compared to Other Countries 2.3. Milk’s Role for Food Security and Household Nutrition 2.4. Consumption of Imported Milk Products by Areas and Product Categories – domestic and imported 2.5. Milk Consumption in 2020 2.5.1.. High Estimate 2.5.2. Middle of the Range Estimate 2.5.3. Low Estimate 2.6. Assessment 3. DAIRY PRODUCTION……………………………………………………………..…… 30 3.1. Current Situation 3.2. Milk Production Areas (waiting on the maps) 3.3. Production systems and Milk Sheds (see zonal data in annex 3.3.1. Commercial Production 3.3.2. Peri-Urban and Urban Production 3.3.3.
    [Show full text]
  • Total Affected Population, January-June 2012
    Total Affected Population, January-June 2012 Erob Tahtay Adiyabo Mereb LekeAhferom Laelay Adiyabo Gulomekeda Dalul Legend · Adwa Saesie Tsaedaemba Werei Leke Tigray HawzenKoneba Lakes Asgede Tsimbila Naeder Adet Atsbi Wenberta Berahle Kola Temben Tselemti Tselemt Administrative boundary Tanqua Abergele Enderta Addi Arekay Ab Ala Afdera Beyeda Saharti Samre Hintalo Wejirat Erebti Abergele Region Janamora Megale Bidu Sahla Alaje Ziquala Endamehoni Sekota Raya Azebo Teru Zone West Belesa Ofla Yalo Gonder Zuria Dehana Kurri Gaz Gibla Alamata Elidar Bugna Gulina Awra Woreda Lasta (Ayna)Gidan Kobo Ewa Afar Lay GayintMeket Wadla Guba Lafto Dubti Total affected Population Delanta Habru Chifra Guba Amhara Worebabu Simada Adaa'r Mile 0(no requirment) MekdelaTenta Afambo Bati z Sayint u Telalak m Mehal Sayint u Legambo Dewa HarewaDewe 14-8108 G Antsokiya Ayisha Sherkole l Kurmuk u Gishe Rabel Sirba Abay g Artuma Fursi Gewane n Menz Gera Midir 8109-13746 Bure Mudaytu a DeraMimo Weremo Jille Timuga Erer Shinile h Afdem is Ibantu Menz Mama Midir Assosa n Wara JarsoHidabu Abote Kewet e Simurobi Gele'alo Dembel 13747-21231 Degem Tarema Ber B Abuna G/BeretKuyu Dire Dawa Ginde Beret Gerar Jarso Miesso Dire DawaJarsoChinaksen Meta Robi DulechaAmibara Goro Gutu Jida Argoba Special KersaHarar Jijiga 21232-33163 JelduAdda Berga Doba Meta Gursum Aleltu Gursum Sasiga Ifata Mieso TuloDeder Babile Hareshen Chiro Zuria Bedeno Diga Mesela Hareri Kebribeyah Addis Ababa Goba KorichaGemechisMalka Balo GirawaFedis 33164-59937 AncharHabro Midega TolaBabile Daro Lebu
    [Show full text]
  • Off-Grid Solar Market Assessment Ethiopia
    ETHIOPIA MARKET INTELLIGENCE USING GOGLA DATA Sales and investment data from the Global Off-Grid Lighting Association (GOGLA) provide details on the off-grid solar sector in Ethiopia. Ethiopia’s pico-solar sector has seen strong growth in the last few years. Most of the pico-solar sector’s growth pertains to systems ranging in size from 0- to 1.5-watt-peak (Wp) systems. Sales of pico/SHS units OFF-GRID SOLAR ENERGY MARKET Jan 2017 - Dec 2018 ETHIOPIA Summary Version of the 2019 Power Africa Off-grid Solar Market Assessment Report Full report available online at: usaid.gov/powerafrica/beyondthegrid Power Africa aims to achieve 30,000 INVESTMENT OPPORTUNITIES • Ethiopia’s gross domestic product (GDP) topped $84 billion in 2018 and grew at megawatts of new generated power, 10% over 10 years, while its poverty rate declined 20% between 2006 and 2017. The government of Ethiopia is currently implementing ambitious growth and create 60 million new electrical connections, transformation policies aimed at achieving carbon neutrality by 2025, which Sales by business model will require expansion of the off-grid solar sector. Jul-Dec 2018 and reach 300 million Africans by 2030. • With 90% of Ethiopia’s population living within 10 km of the grid, on-grid electrifi cation is a priority. However, the Ethiopian grid is unreliable with frequent outages and voltage fl uctuation. Mini-grids and solar home systems may be complementary solutions to grid extension to improve reliability of electricity service. usaid.gov/powerafrica • Agriculture makes up about 40% of GDP and 78% of employment in Ethiopia.
    [Show full text]
  • Prioritization of Shelter/NFI Needs
    Prioritization of Shelter/NFI needs Date: 31st May 2018 Shelter and NFI Needs As of 18 May 2018, the overall number of displaced people is 345,000 households. This figure is based on DTM round 10, partner’s assessments, government requests, as well as the total of HH supported since July 2017. The S/NFI updated its prioritisation in early May and SNFI Cluster partners agreed on several criteria to guide prioritisation which include: - 1) type of emergency, 2) duration of displacement, and 3) sub-standard shelter conditions including IDPS hosted in collective centres and open-air sites and 4) % of vulnerable HH at IDP sites. Thresholds for the criteria were also agreed and in the subsequent analysis the cluster identified 193 IDP hosting woredas mostly in Oromia and Somali regions, as well as Tigray, Gambella and Addis Ababa municipality. A total of 261,830 HH are in need of urgent shelter and NFI assistance. At present the Cluster has a total of 57,000 kits in stocks and pipeline. The Cluster requires urgent funding to address the needs of 204,830 HHs that are living in desperate displacement conditions across the country. This caseload is predicted to increase as the flooding continues in the coming months. Shelter and NFI Priority Activities In terms of priority activities, the SNFI Cluster is in need of ES/NFI support for 140,259 HH displaced mainly due to flood and conflict under Pillar 2, primarily in Oromia and Somali Regions. In addition, the Shelter and NFI Cluster requires immediate funding for recovery activities to support 14,000 HH (8,000 rebuild and 6,000 repair) with transitional shelter support and shelter repair activities under Pillar 3.
    [Show full text]
  • Dire Dawa Millennium Park
    IOM SITE MANAGEMENT SITE PROFILE - ETHIOPIA, DIRE DAWA SUPPORT Dire Dawa Millennium Park (January 2020) Publication: 01 February 2020 ETHIOPIA IOM OIM Context The residents of Millennium Park IDP site are Somali IDPs who fled their areas of origin in Oromia. The site, which is located on Current Priority Needs land slated for development by the Dire Dawa Municipality, with World Bank funding, is included in the Somali Regional Govern- Site Overview Site Population ment's durable solutions planning, though the timeframe for potential relocations to Somali Region is not yet known. In the interim, many basic humanitarian needs of the site residents are unmet, including safe water provision and sufficient latrine coverage. Fo- 1 WASH Site Location 1,638 individuals od distribution was very irregular in the second half of 2019, but distribution did take place in Jan 2020 2 Livelihood Latitude: 9.6056860 306 households Longitude:41.859980 2 3 Health Site Area: 30,000m Data source: DTM Data, SA 20 of November 2019 Methodology Established in: Sep. 18 2017 * Priority needs as reported by residents through SMS-run Complaint The information for this site profile was collected through key informant interviews and group discussions with the Site Management and Feedback Mechanism Committees and beneficiaries by the Site Management Support (SMS) team in the area. Population figures are collected and aligned through SMS and DTM and allow for the most accurate analysis possible. Sector Overview Demographics Vulnerabilities 0 Unaccompanied children Implementing
    [Show full text]
  • Ecological Zones of Ethiopia: a Parametric Approach
    Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.5, No.3, 2014 Smallholder Wheat Production Efficiency in Selected Agro- ecological Zones of Ethiopia: A Parametric Approach Tolesa Alemu 1* , Bezabih Emana 2, Jema Haji 1, and Belaineh Legesse 1 1. School of Agricultural Economics & Agribusiness, Haramaya University, Ethiopia 2. General Manager, HEDBED Business & Consultancy PLC, Addis Ababa, Ethiopia * E-mail of the corresponding author: [email protected] Abstract Wheat productivity is very low in Ethiopia. Improving production efficiency is one of the options for enhancing wheat productivity. To identify the level of production efficiency and sources of inefficiencies, this study was carried out in three major wheat producing agro-ecologies. It used cross-sectional data collected from randomly selected 381 farm households for 2012/13 cropping season. A Cobb-Douglas Production Function and Stochastic Frontier Analysis were employed to achieve the objectives. The study found considerable variation in production efficiency among agro-ecologies and within agro-ecology. The mean technical efficiency estimates for lowland, midland and highland agro-ecologies were 57 percent, 82 percent and 78 percent, respectively. The technical efficiency ranges from 24.4 to 88.6 percents in the lowland, 51.6 to 94.4 percents in the midland, and 34.5 to 94.3 percents in the highland agro-ecologies. There is more capacity to increase wheat yield given the current state of technology and input levels. Wheat output elasticities associated with land, labor, chemical fertilizers and other inputs (seed and pesticides) were positive and significant in the lowland whereas in mid and highland agro- ecologies, output elasticities of land and chemical fertilizers were significant.
    [Show full text]