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Agricultural Technology, Crop Income, and Poverty Alleviation in Uganda

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Author Info

  • Kassie, Menale
  • Shiferaw, Bekele
  • Muricho, Geoffrey

Abstract

This paper evaluates the ex post impact of adopting improved groundnut varieties on crop income and poverty in rural Uganda. The study utilizes cross-sectional data of 927 households, collected in 2006, from seven districts in Uganda. Using propensity score matching methods, we find that adopting improved groundnut varieties (technology) significantly increases crop income and reduces poverty. The positive and significant impact on crop income is consistent with the perceived role of new agricultural technologies in reducing rural poverty through increased farm household income. This study supports broader investment in agriculture research to address vital development challenges. Reaching the poor with better technologies however requires policy support for improving extension efforts, access to seeds and market outlets that simulate adoption.

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Bibliographic Info

Article provided by Elsevier in its journal World Development.

Volume (Year): 39 (2011)
Issue (Month): 10 ()
Pages: 1784-1795

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Handle: RePEc:eee:wdevel:v:39:y:2011:i:10:p:1784-1795

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Web page: http://www.elsevier.com/locate/worlddev

Related research

Keywords: technology adoption; poverty reduction; impact assessment; propensity score matching; sub-Saharan Africa; Uganda;

References

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  1. Haitao Wu & Shijun Ding & Sushil Pandey & Dayun Tao, 2010. "Assessing the Impact of Agricultural Technology Adoption on Farmers' Well-being Using Propensity-Score Matching Analysis in Rural China," Asian Economic Journal, East Asian Economic Association, vol. 24(2), pages 141-160, 06.
  2. Paul Mosley & Sanzidur Rahman, 1999. "Impact of technological change on income distribution and poverty in Bangladesh agriculture: an empirical analysis," Journal of International Development, John Wiley & Sons, Ltd., vol. 11(7), pages 935-955.
  3. Ingrid Rhinehart & C. Michael Deom, 2007. "Peanut Research and Poverty Reduction: Impacts of Variety Improvement to Control Peanut Viruses in Uganda," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 448-460.
  4. Jalan, Jyotsna & Ravallion, Martin, 2001. "Does piped water reduce diarrhea for children in rural India ?," Policy Research Working Paper Series 2664, The World Bank.
  5. Dehejia, Rajeev, 2005. "Practical propensity score matching: a reply to Smith and Todd," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 355-364.
  6. Jeffrey Smith & Petra Todd, 2003. "Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?," University of Western Ontario, CIBC Centre for Human Capital and Productivity Working Papers 20035, University of Western Ontario, CIBC Centre for Human Capital and Productivity.
  7. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
  8. Liane Faltermeier & Awudu Abdulai, 2009. "The impact of water conservation and intensification technologies: empirical evidence for rice farmers in Ghana," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 365-379, 05.
  9. Coelli, Tim & Fleming, Euan, 2004. "Diversification economies and specialisation efficiencies in a mixed food and coffee smallholder farming system in Papua New Guinea," Agricultural Economics, Blackwell, vol. 31(2-3), pages 229-239, December.
  10. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, 02.
  11. James J. Heckman & Vytlacil, Edward J., 2007. "Econometric Evaluation of Social Programs, Part II: Using the Marginal Treatment Effect to Organize Alternative Econometric Estimators to Evaluate Social Programs, and to Forecast their Effects in New," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 71 Elsevier.
  12. Aliou Diagne & Matty Demont, 2007. "Taking a new look at empirical models of adoption: average treatment effect estimation of adoption rates and their determinants," Agricultural Economics, International Association of Agricultural Economists, vol. 37(2-3), pages 201-210, 09.
  13. Stefanides, Zdenko & Tauer, Loren W., 1998. "The Empirical Impact Of Bovine Somatotropin On A Group Of New York Dairy Farms," Working Papers 7263, Cornell University, Department of Applied Economics and Management.
  14. James J. Heckman & Salvador Navarro-Lozano, 2003. "Using Matching, Instrumental Variables and Control Functions to Estimate Economic Choice Models," NBER Working Papers 9497, National Bureau of Economic Research, Inc.
  15. Karanja, D. D. & Renkow, M. & Crawford, E. W., 2003. "Welfare effects of maize technologies in marginal and high potential regions of Kenya," Agricultural Economics, Blackwell, vol. 29(3), pages 331-341, December.
  16. Yoko Kijima & Keijiro Otsuka & Dick Sserunkuuma, 2008. "Assessing the impact of NERICA on income and poverty in central and western Uganda," Agricultural Economics, International Association of Agricultural Economists, vol. 38(3), pages 327-337, 05.
  17. Yifu Lin, Justin, 1999. "Technological change and agricultural household income distribution: theory and evidence from China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 43(2).
  18. 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.
  19. 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.
  20. Aldas JANAIAH & Mahabub HOSSAIN & Keijiro OTSUKA, 2006. "Productivity Impact Of The Modern Varieties Of Rice In India," The Developing Economies, Institute of Developing Economies, vol. 44(2), pages 190-207.
  21. Barbara Sianesi, 2004. "An Evaluation of the Swedish System of Active Labor Market Programs in the 1990s," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 133-155, February.
  22. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," NBER Working Papers 6699, National Bureau of Economic Research, Inc.
  23. Kasenge, Valentine & Taylor, Daniel B. & Bonabana-Wabbi, Jackline, 2006. "A Limited Dependent Variable Analysis of Integrated Pest Management Adoption in Uganda," 2006 Annual meeting, July 23-26, Long Beach, CA 21040, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  24. Minten, Bart & Barrett, Christopher B., 2008. "Agricultural Technology, Productivity, and Poverty in Madagascar," World Development, Elsevier, vol. 36(5), pages 797-822, May.
  25. Akhter Ali & Awudu Abdulai, 2010. "The Adoption of Genetically Modified Cotton and Poverty Reduction in Pakistan," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(1), pages 175-192.
  26. Mahabub HOSSAIN & Manik L. BOSE & Bazlul A. A. MUSTAFI, 2006. "Adoption And Productivity Impact Of Modern Rice Varieties In Bangladesh," The Developing Economies, Institute of Developing Economies, vol. 44(2), pages 149-166.
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Citations

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Cited by:
  1. Kostandini, Genti & La Rovere, Roberto & Abdoulaye, Tahirou, 2013. "Potential impacts of increasing average yields and reducing maize yield variability in Africa," Food Policy, Elsevier, vol. 43(C), pages 213-226.
  2. Ibrahim, Kasirye, 2013. "Constraints to Agricultural Technology Adoption in Uganda: Evidence from the 2005/06-2009/10 Uganda National Panel Survey," Research Series 151979, Economic Policy Research Centre (EPRC).
  3. Kabunga, Nassul, 2014. "Adoption and Impact of Improved Cow Breeds on Household Welfare and Child Nutrition Outcomes: Empirical Evidence from Uganda," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 170517, Agricultural Economics Society.
  4. Kathage, Jonas & Qaim, Matin & Kassie, Menale & Shiferaw, Bekele A., 2012. "Seed market liberalization, hybrid maize adoption, and impacts on smallholder farmers in Tanzania," Discussion Papers 131756, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
  5. 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.
  6. Simtowe, Franklin, 2011. "Determinants of Agricultural Technology adoption: the Case of Improved Pigeonpea Varieties in Tanzania," MPRA Paper 41329, University Library of Munich, Germany.
  7. Simtowe, Franklin & Kassie, Menale & Asfaw, Solomon & Shiferaw, Bekele A. & Monyo, Emmanuel & Siambi, Moses, 2012. "Welfare Effects of Agricultural Technology adoption: the case of improved groundnut varieties in rural Malawi," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126761, International Association of Agricultural Economists.
  8. Kassie, Menale & Jaleta, Moti & Shiferaw, Bekele A. & Mmbando, Frank & De Groote, Hugo, 2012. "Improved Maize Technologies and Welfare Outcomes In Smallholder Systems: Evidence From Application of Parametric and Non-Parametric Approaches," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 128004, International Association of Agricultural Economists.
  9. Muhammad Khan & Muhammad Khan & Khalid Zaman & Muhammad Khan, 2014. "The evolving role of agricultural technology indicators and economic growth in rural poverty: has the ideas machine broken down?," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2007-2022, July.
  10. Gitonga, Zachary M. & De Groote, Hugo & Kassie, Menale & Tefera, Tadele, 2013. "Impact of metal silos on households’ maize storage, storage losses and food security: An application of a propensity score matching," Food Policy, Elsevier, vol. 43(C), pages 44-55.
  11. 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.
  12. Aizhen Li & Boris E. Bravo-Ureta & David K. Okello & Carl M. Deom & Naveen Puppala, 2013. "Groundnut Production and Climatic Variability: Evidence from Uganda," Working Papers 17, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
  13. Teklewold, Hailemariam & Kassie, Menale & Shiferaw, Bekele & Köhlin, Gunnar, 2013. "Cropping system diversification, conservation tillage and modern seed adoption in Ethiopia: Impacts on household income, agrochemical use and demand for labor," Ecological Economics, Elsevier, vol. 93(C), pages 85-93.

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