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Development in the Midst of Drought: Evaluating an Agricultural Extension and Credit Program in Nicaragua

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  • Mullally, Conner

Abstract

This essay is an evaluation of year one of the Rural Business Development (RBD) program for small rice farmers in León, Nicaragua. The RBD program is administered by the Millennium Challenge Corporation, and is designed to deliver agricultural extension advice and affordable credit in the form of inputs to farm households. This essay estimates the average impact of the program on rice yields and revenues utilizing inverse propensity score weighting combined with linear regression. In conducting statistical inference, it also accounts for the fact that agricultural outcomes are likely correlated over space in a small area such as the one studied here. The results suggest that the program had no impact on average, likely due to the presence of a severe drought during the 2008 – 2009 rice growing season, but that poorer households may have done better than their wealthier counterparts. This does not account for program costs, which when factored in would likely make the overall net benefit of the program negative. There may very well be long term benefits to exploiting extension advice and better access to credit created by the RBD program, and the it appears to have shielded poorer farmers somewhat from the impact of the drought. But the results highlight the danger of introducing programs aimed at raising productivity and incomes in areas subject to system unanticipated shocks. Incorporating risk management techniques or insurance against systemic risk into extension programs may improve welfare and encourage broader participation in agricultural productivity programs going forward.

Suggested Citation

  • Mullally, Conner, 2011. "Development in the Midst of Drought: Evaluating an Agricultural Extension and Credit Program in Nicaragua," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 108723, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea11:108723
    DOI: 10.22004/ag.econ.108723
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    1. Pedro Cerdán-Infantes & Alessandro Maffioli & Diego Ubfal, 2008. "The Impact of Agricultural Extension Services: The Case of Grape Production in Argentina," OVE Working Papers 0508, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    2. Jenish, Nazgul & Prucha, Ingmar R., 2009. "Central limit theorems and uniform laws of large numbers for arrays of random fields," Journal of Econometrics, Elsevier, vol. 150(1), pages 86-98, May.
    3. Nava Ashraf & Xavier Giné & Dean Karlan, 2009. "Finding Missing Markets (and a Disturbing Epilogue): Evidence from an Export Crop Adoption and Marketing Intervention in Kenya," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 973-990.
    4. Michael Carter & Christopher Barrett, 2006. "The economics of poverty traps and persistent poverty: An asset-based approach," Journal of Development Studies, Taylor & Francis Journals, vol. 42(2), pages 178-199.
    5. Gershon Feder & Lawrence J. Lau & Justin Y. Lin & Xiaopeng Luo, 1990. "The Relationship between Credit and Productivity in Chinese Agriculture: A Microeconomic Model of Disequilibrium," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(5), pages 1151-1157.
    6. Wooldridge, Jeffrey M., 2007. "Inverse probability weighted estimation for general missing data problems," Journal of Econometrics, Elsevier, vol. 141(2), pages 1281-1301, December.
    7. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    8. Catherine Guirkinger & Stephen R. Boucher, 2008. "Credit constraints and productivity in Peruvian agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 39(3), pages 295-308, November.
    9. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    10. Anderson, Jock R. & Feder, Gershon, 2007. "Agricultural Extension," Handbook of Agricultural Economics, in: Robert Evenson & Prabhu Pingali (ed.), Handbook of Agricultural Economics, edition 1, volume 3, chapter 44, pages 2343-2378, Elsevier.
    11. Foltz, Jeremy D., 2004. "Credit market access and profitability in Tunisian agriculture," Agricultural Economics, Blackwell, vol. 30(3), pages 229-240, May.
    12. Praneetvatakul, S. & Waibel, H., 2007. "The Impact of Farmer Field School On Pesticide Use and Environment in Thailand," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 42, March.
    13. Bindlish, Vishva & Evenson, Robert E, 1997. "The Impact of T&V Extension in Africa: The Experience of Kenya and Burkina Faso," The World Bank Research Observer, World Bank, vol. 12(2), pages 183-201, August.
    14. Kim, Min Seong & Sun, Yixiao, 2011. "Spatial heteroskedasticity and autocorrelation consistent estimation of covariance matrix," Journal of Econometrics, Elsevier, vol. 160(2), pages 349-371, February.
    15. Godtland, Erin M & Sadoulet, Elisabeth & De Janvry, Alain & Murgai, Rinku & Ortiz, Oscar, 2004. "The Impact of Farmer Field Schools on Knowledge and Productivity: A Study of Potato Farmers in the Peruvian Andes," Economic Development and Cultural Change, University of Chicago Press, vol. 53(1), pages 63-92, October.
    16. Gautam, Madhur & Anderson, Jack R., 1999. "Reconsidering the evidence on returns to T&V extension in Kenya," Policy Research Working Paper Series 2098, The World Bank.
    17. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053, September.
    18. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    19. Feder, Gershon & Lau, Lawrence J. & Lin, Justin Y. & Xiaopeng Luo, 1991. "Credit's effect on productivity in Chinese agriculture : a microeconomic model of disequilibrium," Policy Research Working Paper Series 571, The World Bank.
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