IDEAS home Printed from https://ideas.repec.org/p/ags/aaea11/109664.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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 109664, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea11:109664
    DOI: 10.22004/ag.econ.109664
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/109664/files/13338.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.109664?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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.
    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. Veronica González & Pablo Ibarrarán & Alessandro Maffioli & Sandra Rozo, 2009. "The Impact of Technology Adoption on Agricultural Productivity: The Case of the Dominican Republic," OVE Working Papers 0509, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    2. Diana Fletschner & Catherine Guirkinger & Steve Boucher, 2010. "Risk, Credit Constraints and Financial Efficiency in Peruvian Agriculture," Journal of Development Studies, Taylor & Francis Journals, vol. 46(6), pages 981-1002.
    3. Ayalew Ali, Daniel & Deininger, Klaus, 2012. "Causes and implications of credit rationing in rural Ethiopia : the importance of spatial variation," Policy Research Working Paper Series 6096, The World Bank.
    4. Shee, Apurba & Pervez, Shadayen & Turvey, Calum G., 2018. "Heterogeneous Impacts of Credit Rationing on Agricultural Productivity: Evidence from Kenya," 2018 Annual Meeting, August 5-7, Washington, D.C. 274224, Agricultural and Applied Economics Association.
    5. Jianmei ZHAO & Jun ZHANG & Peter J. BARRY, 2014. "Do formal credit constraints affect the rural household consumption in China?," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 60(10), pages 458-468.
    6. de Janvry, Alain & Sadoulet, Elisabeth, 2020. "Using agriculture for development: Supply- and demand-side approaches," World Development, Elsevier, vol. 133(C).
    7. Jeong, Hanbat & Lee, Lung-fei, 2024. "Maximum likelihood estimation of a spatial autoregressive model for origin–destination flow variables," Journal of Econometrics, Elsevier, vol. 242(1).
    8. Gupta, Abhimanyu, 2018. "Autoregressive spatial spectral estimates," Journal of Econometrics, Elsevier, vol. 203(1), pages 80-95.
    9. María Amelia Gibbons & Alessandro Maffioli & Martín Rossi, 2016. "Money for Wine?: Complementarities in the Provision of Private and Public Goods to Wine Producers," IDB Publications (Working Papers) 94217, Inter-American Development Bank.
    10. Turvey, C. G., 2017. "IFAD RESEARCH SERIES 10 - Inclusive finance and inclusive rural transformation," IFAD Research Series 280048, International Fund for Agricultural Development (IFAD).
    11. Tambo, Justice A. & Matimelo, Mathews & Ndhlovu, Mathias & Mbugua, Fredrick & Phiri, Noah, 2021. "Gender-differentiated impacts of plant clinics on maize productivity and food security: Evidence from Zambia," World Development, Elsevier, vol. 145(C).
    12. Kojevnikov, Denis & Marmer, Vadim & Song, Kyungchul, 2021. "Limit theorems for network dependent random variables," Journal of Econometrics, Elsevier, vol. 222(2), pages 882-908.
    13. Yixiao Sun & Min Seong Kim, 2015. "Asymptotic F-Test in a GMM Framework with Cross-Sectional Dependence," The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 210-233, March.
    14. Rabovič, Renata & Čížek, Pavel, 2023. "Estimation of spatial sample selection models: A partial maximum likelihood approach," Journal of Econometrics, Elsevier, vol. 232(1), pages 214-243.
    15. Kim, Min Seong & Sun, Yixiao, 2013. "Heteroskedasticity and spatiotemporal dependence robust inference for linear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 177(1), pages 85-108.
    16. Yusuf Ibrahim Kofarmata & Shri Dewi Applanaidu & Sallahuddin Hassan, 2016. "Determinants of Demand for Credit: A Conceptual Review," Asian Journal of Economics and Empirical Research, Asian Online Journal Publishing Group, vol. 3(1), pages 6-10.
    17. Wang, J. & Bi, S. & Lyu, K. & Zhang, C., 2018. "Does Formal Credit Constraint Restrain Agricultural Production?," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277536, International Association of Agricultural Economists.
    18. J. Hidalgo & M. Schafgans, 2020. "Inference without smoothing for large panels with cross-sectional and temporal dependence," Papers 2006.14409, arXiv.org.
    19. Vogelsang, Timothy J., 2012. "Heteroskedasticity, autocorrelation, and spatial correlation robust inference in linear panel models with fixed-effects," Journal of Econometrics, Elsevier, vol. 166(2), pages 303-319.
    20. repec:asg:wpaper:1013 is not listed on IDEAS
    21. Jeffrey M. Wooldridge, 2009. "Difference-in-differences estimation (in Russian)," Quantile, Quantile, issue 6, pages 25-47, March.

    More about this item

    Keywords

    International Development;

    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:aaea11:109664. 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/aaeaaea.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.