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The Sustainability Of Farmer-Led Multiplication And Dissemination Of High-Yield And Disease Resistant Groundnut Varieties

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Listed:
  • Jeremy Jelliffe

    (University of Connecticut)

  • Boris E. Bravo-Ureta

    (University of Connecticut)

  • C. Michael Deom

    (University of Georgia)

  • David Kalule Okello

    (National Semi-Arid Resources Research Institute)

Abstract

The major objective of this study is to evaluate the adoption of groundnut varieties that are high yielding, drought tolerant, and groundnut rosette disease (GRD) resistant in eastern Uganda. In particular, this study examines differences in adoption and farm-level productivity associated with participation in the project entitled “Farmer-Led Multiplication of Rosette Resistant Groundnut Varieties for Eastern Uganda” (FGSM), which was carried out during the early 2000s following the prior diagnostic work under the LIFE project (Tino, Laker-Ojok, and Namisi 2004). We are particularly interested in the sustainability of the project outcomes 10-years after the end of the original intervention. The impact of the Multiplication Project is examined with respect to increased productivity (higher expected yields) and risk-reduction (improved disease resistance and drought tolerance). We also examine current levels of aflatoxin awareness, prevalence, and the use of mitigation practices in the study region. We find that participating farmers allocated 21% more of their available land to improved groundnut varieties. The results also show that, for improved varieties, beneficiaries produce 32% higher yields than the non-participating neighbor controls, and 55% higher yields relative to non-neighbor controls. This implies that the project led to a sustained significant increase in profitability for participating farmers. In addition, we observe significant spillover effects from the project, which is clearly revealed by the yield difference between non-participating neighboring control households and non-neighbor control households. These results imply that project beneficiaries transferred some benefits to the neighbor control group over the course of the 10-year period following the project. This is an important result suggesting that farmer-led programs offer significant advantages to developing communities and may provide a cost-effective means of information and technology dissemination.

Suggested Citation

  • Jeremy Jelliffe & Boris E. Bravo-Ureta & C. Michael Deom & David Kalule Okello, 2016. "The Sustainability Of Farmer-Led Multiplication And Dissemination Of High-Yield And Disease Resistant Groundnut Varieties," Zwick Center Research Reports 04, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
  • Handle: RePEc:zwi:uconnr:04
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    1. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    2. 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.
    3. Esther Duflo, 2001. "Schooling and Labor Market Consequences of School Construction in Indonesia: Evidence from an Unusual Policy Experiment," American Economic Review, American Economic Association, vol. 91(4), pages 795-813, September.
    4. Timothy Conley & Udry Christopher, 2001. "Social Learning Through Networks: The Adoption of New Agricultural Technologies in Ghana," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 668-673.
    5. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    6. 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.
    7. González-Flores, Mario & Bravo-Ureta, Boris E. & Solís, Daniel & Winters, Paul, 2014. "The impact of high value markets on smallholder productivity in the Ecuadorean Sierra: A Stochastic Production Frontier approach correcting for selectivity bias," Food Policy, Elsevier, vol. 44(C), pages 237-247.
    8. 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.
    9. Mary Thuo & Alexandra Bell & Boris Bravo-Ureta & Michée Lachaud & David Okello & Evelyn Okoko & Nelson Kidula & Carl Deom & Naveen Puppala, 2014. "Effects of social network factors on information acquisition and adoption of improved groundnut varieties: the case of Uganda and Kenya," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 31(3), pages 339-353, September.
    10. Langyintuo, Augustine S. & Mwangi, Wilfred & Diallo, Alpha O. & MacRobert, John F. & Dixon, John & Banziger, Marianne, 2008. "An analysis of the bottlenecks affecting the production and deployment of maize seed in Eastern and Southern Africa," Economics Program Papers 56189, CIMMYT: International Maize and Wheat Improvement Center.
    11. Smith, Lisa C. & El Obeid, Amani E. & Jensen, Helen H., 2000. "The geography and causes of food insecurity in developing countries," Agricultural Economics, Blackwell, vol. 22(2), pages 199-215, March.
    12. James H. Stock & Francesco Trebbi, 2003. "Retrospectives: Who Invented Instrumental Variable Regression?," Journal of Economic Perspectives, American Economic Association, vol. 17(3), pages 177-194, Summer.
    13. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    14. Smith, Lisa C. & Alderman, Harold & Aduayom, Dede, 2006. "Food insecurity in Sub-Saharan Africa: new estimates from household expenditure surveys," Research reports 146, International Food Policy Research Institute (IFPRI).
    15. Tsunehiro Otsuki & John S. Wilson, 2001. "What price precaution? European harmonisation of aflatoxin regulations and African groundnut exports," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 28(3), pages 263-284, October.
    16. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    17. 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).
    18. 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.
    19. Samuel Benin & Ephraim Nkonya & Geresom Okecho & Joseé Randriamamonjy & Edward Kato & Geofrey Lubade & Miriam Kyotalimye, 2011. "Returns to spending on agricultural extension: the case of the National Agricultural Advisory Services (NAADS) program of Uganda," Agricultural Economics, International Association of Agricultural Economists, vol. 42(2), pages 249-267, March.
    20. Boris Bravo-Ureta & William Greene & Daniel Solís, 2012. "Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project," Empirical Economics, Springer, vol. 43(1), pages 55-72, August.
    21. 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, February.
    22. 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.
    23. 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.
    24. Subodh Kumar & R. Robert Russell, 2002. "Technological Change, Technological Catch-up, and Capital Deepening: Relative Contributions to Growth and Convergence," American Economic Review, American Economic Association, vol. 92(3), pages 527-548, June.
    25. Robert Chambers, 2010. "A Revolution Whose Time Has Come? The Win‐Win of Quantitative Participatory Approaches and Methods," IDS Bulletin, Blackwell Publishing, vol. 41(6), pages 45-55, November.
    26. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    27. Boris E. Bravo‐Ureta & Alexandre Nunes Almeida & Daniel Solís & Aarón Inestroza, 2011. "The Economic Impact of Marena’s Investments on Sustainable Agricultural Systems in Honduras," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(2), pages 429-448, June.
    28. 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..
    29. Paul Winters & Lina Salazar & Alessandro Maffioli, 2010. "Designing Impact Evaluations for Agricultural Projects," SPD Working Papers 1007, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
    30. Renato Villano & Boris Bravo-Ureta & Daniel Solís & Euan Fleming, 2015. "Modern Rice Technologies and Productivity in the Philippines: Disentangling Technology from Managerial Gaps," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(1), pages 129-154, February.
    31. Paul J. Gertler & Sebastian Martinez & Patrick Premand & Laura B. Rawlings & Christel M. J. Vermeersch, . "Impact Evaluation in Practice, First Edition [La evaluación de impacto en la práctica]," World Bank Publications, The World Bank, number 2550, September.
    32. Romina Cavatassi & Mario González & Paul Winters & Jorge Andrade-Piedra & Graham Thiele & Patricio Espinosa, 2009. "Linking Smallholders to the New Agricultural Economy: An Evaluation of the Plataformas Program in Ecuador," Working Papers 09-06, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    33. 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.
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    Keywords

    groundnut; agricultural productivity; technology adoption; extension; impact evaluation; instrumental variables; propensity score matching; Uganda;
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