IDEAS home Printed from https://ideas.repec.org/p/ags/unadrs/280077.html
   My bibliography  Save this paper

IFAD RESEARCH SERIES 28 - Understanding the dynamics of adoption decisions and their poverty impacts: the case of improved maize seeds in Uganda

Author

Listed:
  • Garbero, A.
  • Marion, P.

Abstract

This study estimates the impact of agricultural research, specifically improved maize seeds varieties, on agricultural productivity and welfare in Uganda using a three-wave panel survey. First, it looks at the determinants of technology adoption are examined in a dynamic setting that allows for state dependence, in the adoption decision process. The analysis shows that previous adoption is very important in explaining contemporary adoption. Then, it examines the impact of improved maize seeds adoption on welfare, notably consumption-expenditure, poverty, and agricultural outcomes such as yields. Findings show that the magnitude of impacts is fairly similar across the different models. Estimates for the daily per adult equivalent expenditure increased by a range of 5-16% as a result of agricultural technology (total agricultural production increased by a range of 5-13%) and the proportion poor set with the daily 2 US $PPP per capita poverty threshold decreased by a range of 4-12%. In addition, poverty reduction occurred through a rise in maize yields, where adoption of improved maize seeds increases the value of production and supports the achievement of poverty reduction outcomes. One major policy recommendation arising from this study is that extension services need to be better suited to address the volatility of the agricultural context where smallholders operate. Such extension support needs to be timely and tailored to the local context and the needs of rural smallholders in order to properly address their vulnerability and liquidity constraints, which prevent them from fully making a long-term profit from the substantial benefits of this technology.

Suggested Citation

  • Garbero, A. & Marion, P., 2018. "IFAD RESEARCH SERIES 28 - Understanding the dynamics of adoption decisions and their poverty impacts: the case of improved maize seeds in Uganda," IFAD Research Series 280077, International Fund for Agricultural Development (IFAD).
  • Handle: RePEc:ags:unadrs:280077
    DOI: 10.22004/ag.econ.280077
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/280077/files/Research%20Series%2028.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.280077?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Adelman, Irma, 1975. "Growth, income distribution and equity-oriented development strategies," World Development, Elsevier, vol. 3(2-3), pages 67-76.
    2. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    3. Salvatore Di Falco & Marcella Veronesi & Mahmud Yesuf, 2011. "Does Adaptation to Climate Change Provide Food Security? A Micro-Perspective from Ethiopia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 825-842.
    4. Oriana Bandiera & Imran Rasul, 2006. "Social Networks and Technology Adoption in Northern Mozambique," Economic Journal, Royal Economic Society, vol. 116(514), pages 869-902, October.
    5. Vella, Francis, 1993. "A Simple Estimator for Simultaneous Models with Censored Endogenous Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 34(2), pages 441-457, May.
    6. 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.
    7. Mendola, Mariapia, 2007. "Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh," Food Policy, Elsevier, vol. 32(3), pages 372-393, June.
    8. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    9. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    10. Kassie, Menale & Shiferaw, Bekele & Muricho, Geoffrey, 2011. "Agricultural Technology, Crop Income, and Poverty Alleviation in Uganda," World Development, Elsevier, vol. 39(10), pages 1784-1795.
    11. Cowan, Robin & Gunby, Philip, 1996. "Sprayed to Death: Path Dependence, Lock-In and Pest Control Strategies," Economic Journal, Royal Economic Society, vol. 106(436), pages 521-542, May.
    12. A. de Janvry & E. Sadoulet, 2002. "World Poverty and the Role of Agricultural Technology: Direct and Indirect Effects," Journal of Development Studies, Taylor & Francis Journals, vol. 38(4), pages 1-26.
    13. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    14. Cunguara, Benedito & Darnhofer, Ika, 2011. "Assessing the impact of improved agricultural technologies on household income in rural Mozambique," Food Policy, Elsevier, vol. 36(3), pages 378-390, June.
    15. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    16. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    17. 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.
    18. 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.
    19. Papke, Leslie E. & Wooldridge, Jeffrey M., 2008. "Panel data methods for fractional response variables with an application to test pass rates," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 121-133, July.
    20. Becerril, Javier & Abdulai, Awudu, 2010. "The Impact of Improved Maize Varieties on Poverty in Mexico: A Propensity Score-Matching Approach," World Development, Elsevier, vol. 38(7), pages 1024-1035, July.
    21. Arthur Lewbel, 2007. "Estimation of Average Treatment Effects with Misclassification," Econometrica, Econometric Society, vol. 75(2), pages 537-551, March.
    22. Ruth Stewart & Laurenz Langer & Natalie Rebelo Da Silva & Evans Muchiri & Hazel Zaranyika & Yvonne Erasmus & Nicola Randall & Shannon Rafferty & Marcel Korth & Nolizwe Madinga & Thea de Wet, 2015. "The Effects of Training, Innovation and New Technology on African Smallholder Farmers' Economic Outcomes and Food Security: A Systematic Review," Campbell Systematic Reviews, John Wiley & Sons, vol. 11(1), pages 1-224.
    23. repec:ilo:ilowps:296227 is not listed on IDEAS
    24. Smith, Richard J & Blundell, Richard W, 1986. "An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply," Econometrica, Econometric Society, vol. 54(3), pages 679-685, May.
    25. Solomon Asfaw & Menale Kassie & Franklin Simtowe & Leslie Lipper, 2012. "Poverty Reduction Effects of Agricultural Technology Adoption: A Micro-evidence from Rural Tanzania," Journal of Development Studies, Taylor & Francis Journals, vol. 48(9), pages 1288-1305, September.
    26. 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.
    27. -, 1993. "A new international industrial order," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 30103, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    28. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    29. Tanellari, Eftila & Kostandini, Genti & Bonabana-Wabbi, Jackline & Murray, Anthony, 2014. "Gender impacts on adoption of new technologies: the case of improved groundnut varieties in Uganda," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 9(4), pages 1-9, December.
    30. N/A, 1993. "National Institute Discussion Papers," National Institute Economic Review, National Institute of Economic and Social Research, vol. 146(1), pages 117-119, November.
    31. Munshi, Kaivan, 2004. "Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution," Journal of Development Economics, Elsevier, vol. 73(1), pages 185-213, February.
    32. 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.
    33. Torrealba, Ricardo., 1993. "Discrimination against migrant workers in Venezuela," ILO Working Papers 992962273402676, International Labour Organization.
    34. Steven Haggblade & Jeffrey Hammer & Peter Hazell, 1991. "Modeling Agricultural Growth Multipliers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(2), pages 361-374.
    35. Moser, Christine M. & Barrett, Christopher B., 2003. "The disappointing adoption dynamics of a yield-increasing, low external-input technology: the case of SRI in Madagascar," Agricultural Systems, Elsevier, vol. 76(3), pages 1085-1100, June.
    36. Angus Deaton & Salman Zaidi, 1999. "Guidelines for Constructing Consumption Aggregates For Welfare Analysis," Working Papers 217, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    37. Shiferaw, Bekele & Kassie, Menale & Jaleta, Moti & Yirga, Chilot, 2014. "Adoption of improved wheat varieties and impacts on household food security in Ethiopia," Food Policy, Elsevier, vol. 44(C), pages 272-284.
    38. Unknown, 2008. "Institute of Agricultural Economics," Economics of Agriculture, Institute of Agricultural Economics, vol. 55(3).
    39. Angus Deaton & Salman Zaidi, 2002. "Guidelines for Constructing Consumption Aggregates for Welfare Analysis," World Bank Publications, The World Bank, number 14101, April.
    40. N/A, 1993. "National Institute Discussion Papers," National Institute Economic Review, National Institute of Economic and Social Research, vol. 143(1), pages 116-117, February.
    41. Alston, Julian M. & Wyatt, T. J. & Pardey, Philip G. & Marra, Michele C. & Chan-Kang, Connie, 2000. "A meta-analysis of rates of return to agricultural R & D: ex pede Herculem?," Research reports 113, International Food Policy Research Institute (IFPRI).
    42. Tavneet Suri, 2011. "Selection and Comparative Advantage in Technology Adoption," Econometrica, Econometric Society, vol. 79(1), pages 159-209, January.
    43. Melinda Smale & Nicole Mason, 2014. "Hybrid Seed and the Economic Well-Being of Smallholder Maize Farmers in Zambia," Journal of Development Studies, Taylor & Francis Journals, vol. 50(5), pages 680-695, May.
    44. Rivers, Douglas & Vuong, Quang H., 1988. "Limited information estimators and exogeneity tests for simultaneous probit models," Journal of Econometrics, Elsevier, vol. 39(3), pages 347-366, November.
    45. Mathenge, Mary K. & Smale, Melinda & Olwande, John, 2014. "The impacts of hybrid maize seed on the welfare of farming households in Kenya," Food Policy, Elsevier, vol. 44(C), pages 262-271.
    46. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    47. Verkaart, Simone & Munyua, Bernard G. & Mausch, Kai & Michler, Jeffrey D., 2017. "Welfare impacts of improved chickpea adoption: A pathway for rural development in Ethiopia?," Food Policy, Elsevier, vol. 66(C), pages 50-61.
    48. Dick Sserunkuuma, 2005. "The Adoption and Impact of Improved Maize and Land Management Technologies in Uganda," The Electronic Journal of Agricultural and Development Economics, Food and Agriculture Organization of the United Nations, vol. 2(1), pages 67-84.
    49. Asfaw, Solomon & Shiferaw, Bekele & Simtowe, Franklin & Lipper, Leslie, 2012. "Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia," Food Policy, Elsevier, vol. 37(3), pages 283-295.
    50. Khonje, Makaiko & Manda, Julius & Alene, Arega D. & Kassie, Menale, 2015. "Analysis of Adoption and Impacts of Improved Maize Varieties in Eastern Zambia," World Development, Elsevier, vol. 66(C), pages 695-706.
    51. Kassie, Menale & Jaleta, Moti & Shiferaw, Bekele & Mmbando, Frank & Mekuria, Mulugetta, 2013. "Adoption of interrelated sustainable agricultural practices in smallholder systems: Evidence from rural Tanzania," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 525-540.
    52. Emily Oster & Rebecca Thornton, 2012. "Determinants Of Technology Adoption: Peer Effects In Menstrual Cup Take-Up," Journal of the European Economic Association, European Economic Association, vol. 10(6), pages 1263-1293, December.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Abebayehu Girma Geffersa & Frank W. Agbola & Amir Mahmood, 2022. "Improved maize adoption and impacts on farm household welfare: Evidence from rural Ethiopia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(4), pages 860-886, October.
    3. Verkaart, Simone & Munyua, Bernard G. & Mausch, Kai & Michler, Jeffrey D., 2017. "Welfare impacts of improved chickpea adoption: A pathway for rural development in Ethiopia?," Food Policy, Elsevier, vol. 66(C), pages 50-61.
    4. 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.
    5. Felister Y. Tibamanya & Mursali A. Milanzi & Arne Henningsen, 2021. "Drivers of and Barriers to Adoption of Improved Sun- flower Varieties amongst Smallholder Farmers in Singida, Tanzania: the Double-Hurdle Approach," IFRO Working Paper 2021/03, University of Copenhagen, Department of Food and Resource Economics.
    6. Ainembabazi, John Herbert & Abdoulaye, Tahirou & Feleke, Shiferaw & Alene, Arega & Dontsop-Nguezet, Paul M. & Ndayisaba, Pierre Celestin & Hicintuka, Cyrille & Mapatano, Sylvain & Manyong, Victor, 2018. "Who benefits from which agricultural research-for-development technologies? Evidence from farm household poverty analysis in Central Africa," World Development, Elsevier, vol. 108(C), pages 28-46.
    7. Tesfay, M., 2018. "Adoption of diversified farm technology in a semi arid of northern Ethiopia: A Panel Data Analysis," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276008, International Association of Agricultural Economists.
    8. Bairagi, Subir & Bhandari, Humnath & Kumar Das, Subrata & Mohanty, Samarendu, 2021. "Flood-tolerant rice improves climate resilience, profitability, and household consumption in Bangladesh," Food Policy, Elsevier, vol. 105(C).
    9. Alexandra Peralta & Scott M. Swinton & Songqing Jin, 2018. "The Secret to Getting Ahead Is Getting Started: Early Impacts of a Rural Development Project," Sustainability, MDPI, vol. 10(8), pages 1-20, July.
    10. Khonje, Makaiko & Mkandawire, Petros & Manda, Julius & Alene, Arega, 2015. "Analysis of adoption and impacts of improved cassava varieties," 2015 Conference, August 9-14, 2015, Milan, Italy 211842, International Association of Agricultural Economists.
    11. Coromaldi, Manuela & Pallante, Giacomo & Savastano, Sara, 2015. "Adoption of modern varieties, farmers' welfare and crop biodiversity: Evidence from Uganda," Ecological Economics, Elsevier, vol. 119(C), pages 346-358.
    12. Tesfaye, Wondimagegn & Tirivayi, Nyasha, 2020. "Crop diversity, household welfare and consumption smoothing under risk: Evidence from rural Uganda," World Development, Elsevier, vol. 125(C).
    13. Emiliano Magrini & Mauro Vigani, 2016. "Technology adoption and the multiple dimensions of food security: the case of maize in Tanzania," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(4), pages 707-726, August.
    14. Gebru, Menasbo & Holden , Stein T. & Alfnes, Frode, 2020. "Adoption of agricultural technologies in the semi-arid northern Ethiopia: A Panel Data Analysis," CLTS Working Papers 3/20, Norwegian University of Life Sciences, Centre for Land Tenure Studies.
    15. Aseres Mamo Eshetie & Eunice Matafwali & Gershom Endelani Mwalupaso & Jie Li & Aijun Liu, 2022. "Nexus of Cash Crop Production Using Improved Varieties and Household Food Security," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(4), pages 1803-1830, August.
    16. Tigist Mekonnen Melesse, 2015. "Agricultural Technology Adoption and Market Participation under Learning Externality: Impact Evaluation on Small-scale Agriculture from Rural Ethiopia," Working Papers 2015/06, Maastricht School of Management.
    17. Manda, J. & Gardebroek, C. & Kuntashula, E. & Alene, A.D., 2018. "Impact of Improved Maize Varieties on Food Security in Eastern Zambia: a doubly robust analysis," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277004, International Association of Agricultural Economists.
    18. Shikuku, K.M., 2018. "Information exchange links, knowledge exposure, and adoption of agricultural technologies in Northern Uganda," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275974, International Association of Agricultural Economists.
    19. Menasbo Gebru & Stein T. Holden & Frode Alfnes, 2021. "Adoption analysis of agricultural technologies in the semiarid northern Ethiopia: a panel data analysis," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-16, December.
    20. Jeremy L. Jelliffe & Boris E. Bravo-Ureta & C. Michael Deom & David K. Okello, 2018. "Adoption of High-Yielding Groundnut Varieties: The Sustainability of a Farmer-Led Multiplication-Dissemination Program in Eastern Uganda," Sustainability, MDPI, vol. 10(5), pages 1-21, May.

    More about this item

    Keywords

    Agricultural and Food Policy;

    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:ags:unadrs:280077. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ifaunit.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.