[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/fpr/esspwp/92.html
   My bibliography  Save this paper

Row planting teff in Ethiopia: Impact on farm-level profitability and labor allocation

Author

Listed:
  • Vandercasteelen, Joachim
  • Dereje, Mekdim
  • Minten, Bart
  • Taffesse, Alemayehu Seyoum
Abstract
Improved technologies are increasingly promoted to farmers in sub-Saharan-African countries to address low agricultural productivity in their staple crops. There is, however, a lack of evidence on how adoption affects farmers’ labor use and profitability at the farm level, as well as the importance gender roles play, all essential drivers for the successful up-scaling of the use of the improved technologies. This paper analyses the labor and profitability impact of the recently introduced row planting technology in teff production in Ethiopia. Based on agronomic evidence in experimental settings, the Government of Ethiopia has focused extension efforts on promoting the widespread uptake of row planting to address low teff yields, replacing the traditional broadcasting method of plant teff. Using an innovative Randomized Controlled Trial set-up, we show that the implementation of row planting at the farm level significantly increases total labor use, but not teff yields, relative to broadcast planting, resulting in a substantial drop in labor productivity when adopting row planting. Moreover, the implementation of row planting has important consequences for inter- and intra-household labor allocation, with relatively more use of non-family labor. The adoption of row planting was further found not to be profitable for farmers in the first year of the promotion campaign, seemingly explaining the limited success in up-scaling the adoption of the technology by farmers in the second year of the program.

Suggested Citation

  • Vandercasteelen, Joachim & Dereje, Mekdim & Minten, Bart & Taffesse, Alemayehu Seyoum, 2016. "Row planting teff in Ethiopia: Impact on farm-level profitability and labor allocation," ESSP working papers 92, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:esspwp:92
    as

    Download full text from publisher

    File URL: http://cdm15738.contentdm.oclc.org/utils/getfile/collection/p15738coll2/id/130445/filename/130656.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David R. Lee, 2005. "Agricultural Sustainability and Technology Adoption: Issues and Policies for Developing Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(5), pages 1325-1334.
    2. Esther Duflo & Michael Kremer & Jonathan Robinson, 2008. "How High Are Rates of Return to Fertilizer? Evidence from Field Experiments in Kenya," American Economic Review, American Economic Association, vol. 98(2), pages 482-488, May.
    3. Alwang, Jeffrey & Siegel, P. B., 1999. "Labor Shortages on Small Landholdings in Malawi: Implications for Policy Reforms," World Development, Elsevier, vol. 27(8), pages 1461-1475, August.
    4. Nassul S. Kabunga & Thomas Dubois & Matin Qaim, 2012. "Yield Effects of Tissue Culture Bananas in Kenya: Accounting for Selection Bias and the Role of Complementary Inputs," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(2), pages 444-464, June.
    5. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    6. Noltze, Martin & Schwarze, Stefan & Qaim, Matin, 2013. "Impacts of natural resource management technologies on agricultural yield and household income: The system of rice intensification in Timor Leste," Ecological Economics, Elsevier, vol. 85(C), pages 59-68.
    7. Palacios-Lopez, Amparo & Christiaensen, Luc & Kilic, Talip, 2017. "How much of the labor in African agriculture is provided by women?," Food Policy, Elsevier, vol. 67(C), pages 52-63.
    8. Doss, Cheryl R., 2001. "Designing Agricultural Technology for African Women Farmers: Lessons from 25 Years of Experience," World Development, Elsevier, vol. 29(12), pages 2075-2092, December.
    9. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    10. de Nicola, Francesca & Giné, Xavier, 2014. "How accurate are recall data? Evidence from coastal India," Journal of Development Economics, Elsevier, vol. 106(C), pages 52-65.
    11. Gashaw Tadesse Abate & Tanguy Bernard & Alan de Brauw & Nicholas Minot, 2018. "The impact of the use of new technologies on farmers’ wheat yield in Ethiopia: evidence from a randomized control trial," Agricultural Economics, International Association of Agricultural Economists, vol. 49(4), pages 409-421, July.
    12. Beegle, Kathleen & Carletto, Calogero & Himelein, Kristen, 2012. "Reliability of recall in agricultural data," Journal of Development Economics, Elsevier, vol. 98(1), pages 34-41.
    13. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    14. Getu Hailu & Alfons Weersink & Bart Minten, 2017. "Determinants of the Productivity of Teff in Ethiopia," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 29(4), pages 866-892, August.
    15. Berhane, Guush & Paulos, Zelekawork & Tafere, Kibrom & Tamru, Seneshaw, 2011. "Foodgrain consumption and calorie intake patterns in Ethiopia:," ESSP working papers 23, International Food Policy Research Institute (IFPRI).
    16. Bardasi, Elena & Beegle, Kathleen & Dillon, Andrew & Serneels, Pieter, 2010. "Do labor statistics depend on how and to whom the questions are asked ? results from a survey experiment in Tanzania," Policy Research Working Paper Series 5192, The World Bank.
    17. Stoop, Willem A. & Uphoff, Norman & Kassam, Amir, 2002. "A review of agricultural research issues raised by the system of rice intensification (SRI) from Madagascar: opportunities for improving farming systems for resource-poor farmers," Agricultural Systems, Elsevier, vol. 71(3), pages 249-274, March.
    18. Bezu, Sosina & Kassie, Girma T. & Shiferaw, Bekele & Ricker-Gilbert, Jacob, 2014. "Impact of Improved Maize Adoption on Welfare of Farm Households in Malawi: A Panel Data Analysis," World Development, Elsevier, vol. 59(C), pages 120-131.
    19. Di Zeng & Jeffrey Alwang & George W. Norton & Bekele Shiferaw & Moti Jaleta & Chilot Yirga, 2015. "Ex post impacts of improved maize varieties on poverty in rural Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 46(4), pages 515-526, July.
    20. Pramila Krishnan & Manasa Patnam, 2014. "Neighbors and Extension Agents in Ethiopia: Who Matters More for Technology Adoption?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 308-327.
    21. Simeon Ehui & John Pender, 2005. "Resource degradation, low agricultural productivity, and poverty in sub‐Saharan Africa: pathways out of the spiral," Agricultural Economics, International Association of Agricultural Economists, vol. 32(s1), pages 225-242, January.
    22. Millicent deGraft-Johnson & Aya Suzuki & Takeshi Sakurai & Keijiro Otsuka, 2014. "On the transferability of the Asian rice green revolution to rainfed areas in sub-Saharan Africa: an assessment of technology intervention in Northern Ghana," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 555-570, September.
    23. Dobermann, A., 2004. "A critical assessment of the system of rice intensification (SRI)," Agricultural Systems, Elsevier, vol. 79(3), pages 261-281, March.
    24. Kazushi Takahashi & Christopher B. Barrett, 2014. "The System of Rice Intensification and its Impacts on Household Income and Child Schooling: Evidence from Rural Indonesia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 269-289.
    25. Christopher B. Barrett & Christine M. Moser & Oloro V. McHugh & Joeli Barison, 2004. "Better Technology, Better Plots, or Better Farmers? Identifying Changes in Productivity and Risk among Malagasy Rice Farmers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 869-888.
    26. Quisumbing, Agnes R. & Pandolfelli, Lauren, 2010. "Promising Approaches to Address the Needs of Poor Female Farmers: Resources, Constraints, and Interventions," World Development, Elsevier, vol. 38(4), pages 581-592, April.
    27. Duncan, Greg J & Hill, Daniel H, 1985. "An Investigation of the Extent and Consequences of Measurement Error in Labor-Economic Survey Data," Journal of Labor Economics, University of Chicago Press, vol. 3(4), pages 508-532, October.
    28. Abate, Gashaw T. & de Brauw, Alan & Minot, Nicholas & Bernard, Tanguy, 2015. "The impact of the use of new technologies on farmers’ wheat yield in Ethiopia: Evidence from a randomized controlled trial:," IFPRI discussion papers 1462, International Food Policy Research Institute (IFPRI).
    29. repec:lic:licosd:35014 is not listed on IDEAS
    30. Christine M. Moser & Christopher B. Barrett, 2006. "The complex dynamics of smallholder technology adoption: the case of SRI in Madagascar," Agricultural Economics, International Association of Agricultural Economists, vol. 35(3), pages 373-388, November.
    31. Knowler, Duncan & Bradshaw, Ben, 2007. "Farmers' adoption of conservation agriculture: A review and synthesis of recent research," Food Policy, Elsevier, vol. 32(1), pages 25-48, February.
    32. Lapar, Ma. Lucila A. & Pandey, Sushil, 1999. "Adoption of soil conservation: the case of the Philippine uplands," Agricultural Economics, Blackwell, vol. 21(3), pages 241-256, December.
    33. Romina Cavatassi & Lina Salazar & Mario González‐Flores & Paul Winters, 2011. "How do Agricultural Programmes Alter Crop Production? Evidence from Ecuador," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(2), pages 403-428, June.
    34. Spielman, David J. & Byerlee, Derek & Alemu, Dawit & Kelemework, Dawit, 2010. "Policies to promote cereal intensification in Ethiopia: The search for appropriate public and private roles," Food Policy, Elsevier, vol. 35(3), pages 185-194, June.
    35. Dar, Manzoor H & de Janvry, Alain & Emerick, Kyle & Raitzer, David & Sadoulet, Elisabeth, 2013. "Flood-tolerant rice reduces yield variability and raises expected yield, differentially benefitting socially disadvantaged groups," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9md9n7h0, Department of Agricultural & Resource Economics, UC Berkeley.
    36. Orr, Alastair, 2003. "Integrated Pest Management for Resource-Poor African Farmers: Is the Emperor Naked?," World Development, Elsevier, vol. 31(5), pages 831-845, May.
    37. Douglas Gollin & Michael Morris & Derek Byerlee, 2005. "Technology Adoption in Intensive Post-Green Revolution Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(5), pages 1310-1316.
    38. Tu, Qin & Bulte, Erwin, 2010. "Trust, Market Participation and Economic Outcomes: Evidence from Rural China," World Development, Elsevier, vol. 38(8), pages 1179-1190, August.
    39. Kijima, Yoko & Otsuka, Keijiro & Sserunkuuma, Dick, 2011. "An Inquiry into Constraints on a Green Revolution in Sub-Saharan Africa: The Case of NERICA Rice in Uganda," World Development, Elsevier, vol. 39(1), pages 77-86, January.
    40. von Braun, Joachim & Webb, Patrick J R, 1989. "The Impact of New Crop Technology on the Agricultural Division of Labor in a West African Setting," Economic Development and Cultural Change, University of Chicago Press, vol. 37(3), pages 513-534, April.
    41. Bart Minten & Seneshaw Tamru & Ermias Engida & Tadesse Kuma, 2016. "Feeding Africa's Cities: The Case of the Supply Chain of Teff to Addis Ababa," Economic Development and Cultural Change, University of Chicago Press, vol. 64(2), pages 265-297.
    42. Erwin Bulte & Gonne Beekman & Salvatore Di Falco & Joseph Hella & Pan Lei, 2014. "Behavioral Responses and the Impact of New Agricultural Technologies: Evidence from a Double-blind Field Experiment in Tanzania," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(3), pages 813-830.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Diiro, Gracious M. & Fisher, Monica & Kassie, Menale & Muriithi, Beatrice W. & Muricho, Geoffrey, 2021. "How does adoption of labor saving agricultural technologies affect intrahousehold resource allocations? The case of push-pull technology in Western Kenya," Food Policy, Elsevier, vol. 102(C).
    2. Zegeye, Mesele Belay, 2021. "Estimating the Impact of Agricultural Technology Adoption on Teff Productivity: Evidence from North Shewa Zone of Amhara Region, Ethiopia," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 30(01), April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Joachim Vandercasteelen & Mekdim Dereje & Bart Minten & Alemayehu Seyoum Taffesse, 2018. "Labour, profitability and gender impacts of adopting row planting in Ethiopia," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(4), pages 471-503.
    2. repec:lic:licosd:34413 is not listed on IDEAS
    3. Kazushi Takahashi & Rie Muraoka & Keijiro Otsuka, 2020. "Technology adoption, impact, and extension in developing countries’ agriculture: A review of the recent literature," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 31-45, January.
    4. Noltze, Martin & Schwarze, Stefan & Qaim, Matin, 2013. "Impacts of natural resource management technologies on agricultural yield and household income: The system of rice intensification in Timor Leste," Ecological Economics, Elsevier, vol. 85(C), pages 59-68.
    5. Christopher B. Barrett & Asad Islam & Abdul Mohammad Malek & Debayan Pakrashi & Ummul Ruthbah, 2022. "Experimental Evidence on Adoption and Impact of the System of Rice Intensification," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 4-32, January.
    6. Noltze, Martin & Schwarze, Stefan & Qaim, Matin, 2012. "Understanding the adoption of system technologies in smallholder agriculture: The system of rice intensification (SRI) in Timor Leste," Agricultural Systems, Elsevier, vol. 108(C), pages 64-73.
    7. Yuko Nakano & Yuki Tanaka & Keijiro Otsuka, 2018. "Impact of training on the intensification of rice farming: evidence from rainfed areas in Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 49(2), pages 193-202, March.
    8. Barrett, Christopher B. & Islam, Asad & Pakrashi, Debayan & Ruthbah, Ummul, 2021. "Experimental Evidence on Adoption and Impact of the System of rice Intensification," Working Papers 309950, Cornell University, Department of Applied Economics and Management.
    9. Lambrecht, Isabel & Vanlauwe, Bernard & Merckx, Roel & Maertens, Miet, 2014. "Understanding the Process of Agricultural Technology Adoption: Mineral Fertilizer in Eastern DR Congo," World Development, Elsevier, vol. 59(C), pages 132-146.
    10. B Kelsey Jack, "undated". "Market Inefficiencies and the Adoption of Agricultural Technologies in Developing Countries," CID Working Papers 50, Center for International Development at Harvard University.
    11. Wollni, Meike & Andersson, Camilla, 2014. "Spatial patterns of organic agriculture adoption: Evidence from Honduras," Ecological Economics, Elsevier, vol. 97(C), pages 120-128.
    12. Berkhout, Ezra & Glover, Dominic & Kuyvenhoven, Arie, 2015. "On-farm impact of the System of Rice Intensification (SRI): Evidence and knowledge gaps," Agricultural Systems, Elsevier, vol. 132(C), pages 157-166.
    13. Lim, Krisha & Wichmann, Bruno & Luckert, Martin, 2021. "Adaptation, spatial effects, and targeting: Evidence from Africa and Asia," World Development, Elsevier, vol. 139(C).
    14. Islam, Asadul & Ushchev, Philip & Zenou, Yves & Zhang, Xin, 2019. "The Value of Information in Technology Adoption," IZA Discussion Papers 12672, Institute of Labor Economics (IZA).
    15. Annemie Maertens & Hope Michelson & Vesall Nourani, 2021. "How Do Farmers Learn from Extension Services? Evidence from Malawi," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 569-595, March.
    16. ELOUHICHI Kamel & TEMURSHOEV Umed & COLEN Liesbeth & GOMEZ Y PALOMA Sergio, 2019. "Upscaling the productivity performance of the Agricultural Commercialization Cluster Initiative in Ethiopia," JRC Research Reports JRC117562, Joint Research Centre.
    17. Ly, Proyuth & Jensen, Lars Stoumann & Bruun, Thilde Bech & Rutz, Dominik & de Neergaard, Andreas, 2012. "The System of Rice Intensification: Adapted practices, reported outcomes and their relevance in Cambodia," Agricultural Systems, Elsevier, vol. 113(C), pages 16-27.
    18. Sarr, Mare & Bezabih Ayele, Mintewab & Kimani, Mumbi E. & Ruhinduka, Remidius, 2021. "Who benefits from climate-friendly agriculture? The marginal returns to a rainfed system of rice intensification in Tanzania," World Development, Elsevier, vol. 138(C).
    19. Jourdain C. Lokossou & Hippolyte D. Affognon & Alphonse Singbo & Michel B. Vabi & Ayoni Ogunbayo & Paul Tanzubil & Alcade C. Segnon & Geoffrey Muricho & Haile Desmae & Hakeem Ajeigbe, 2022. "Welfare impacts of improved groundnut varieties adoption and food security implications in the semi-arid areas of West Africa," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(3), pages 709-728, June.
    20. Arslan, Cansın & Wollni, Meike & Oduol, Judith & Hughes, Karl, 2022. "Who communicates the information matters for technology adoption," World Development, Elsevier, vol. 158(C).
    21. Stella Nordhagen & Khadidjatou Thiam & Souleymane Sow, 2019. "The sustainability of a nutrition-sensitive agriculture intervention: a case study from urban Senegal," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(5), pages 1121-1134, October.

    More about this item

    Keywords

    ETHIOPIA; EAST AFRICA; AFRICA SOUTH OF SAHARA; AFRICA; teff; line planting; productivity; yields; smallholders; labor; broadcast sowing; planting; randomized controlled trial; Q12 Micro Analysis of Farm Firms; Farm Households; and Farm Input Markets; Q15 Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment; Q16 Agricultural R&; D; Agricultural Technology; Biofuels; Agricultural Extension Services;
    All these keywords.

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fpr:esspwp:92. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/ifprius.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.