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Potential Demand for Drought Insurance in Burkina Faso and Its Determinants

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  • Takeshi Sakurai
  • Thomas Reardon

Abstract

The objectives of this paper are twofold: (a) to estimate demand for formal drought insurance using farm household data in Burkina Faso and (b) to find what determines insurance demand. The following findings are salient. First, effective demand is found in all zones, which implies inadequacies in households' current self-insurance strategies. Second, there is much heterogeneity in the strategies to self-insure even within zones. Third, the expectation of public food aid decreases demand for drought insurance, which suggests that food aid is causing moral hazard. Fourth, households with large livestock holdings can reduce the size of herd by substituting drought insurance for livestock holdings. Copyright 1997, Oxford University Press.

Suggested Citation

  • Takeshi Sakurai & Thomas Reardon, 1997. "Potential Demand for Drought Insurance in Burkina Faso and Its Determinants," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1193-1207.
  • Handle: RePEc:oup:ajagec:v:79:y:1997:i:4:p:1193-1207
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    File URL: http://hdl.handle.net/10.2307/1244277
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    Cited by:

    1. Turvey, Calum G. & Norton, Michael T., 2008. "An Internet-Based Tool for Weather Risk Management," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 0(Number 1), pages 1-16, April.
    2. Paulson, Nicholas D. & Hart, Chad E., 2006. "A Spatial Approach to Addressing Weather Derivative Basis Risk: A Drought Insurance Example," 2006 Annual meeting, July 23-26, Long Beach, CA 21249, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Matsuda, Ayako & Kurosaki, Takashi & Sawada, Yasuyuki, 2013. "Rainfall and Temperature Index Insurance in India: Project Documentation," PRIMCED Discussion Paper Series 34, Institute of Economic Research, Hitotsubashi University.
    4. Sakurai, Takeshi & Savadogo, Kimseyinga, 2009. "Covariate Shocks and Rural Poverty in Burkina Faso," 2009 Conference, August 16-22, 2009, Beijing, China 51722, International Association of Agricultural Economists.
    5. Barnett, Barry J. & Barrett, Christopher B. & Skees, Jerry R., 2008. "Poverty Traps and Index-Based Risk Transfer Products," World Development, Elsevier, vol. 36(10), pages 1766-1785, October.
    6. Alan Fuchs & Hendrik Wolff, 2011. "Concept and Unintended Consequences of Weather Index Insurance: The Case of Mexico," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 505-511.
    7. Gurenko, Eugene & Olivier, Mahul, 2004. "Enabling productive but asset-poor farmers to succeed : A risk financing framework," Policy Research Working Paper Series 3211, The World Bank.
    8. Skees, Jerry & Varangis, Panos & Larson, Donald & Siegel, Paul, 2002. "Can Financial Markets be Tapped to Help Poor People Cope with Weather Risks?," WIDER Working Paper Series 023, World Institute for Development Economic Research (UNU-WIDER).
    9. Thomas Reardon & J. Edward Taylor & Kostas Stamoulis & Peter Lanjouw & Arsenio Balisacan, 2000. "Effects of Non-Farm Employment on Rural Income Inequality in Developing Countries: An Investment Perspective," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(2), pages 266-288.
    10. Engle Warnick James C. & Escobal Javier & Laszlo Sonia C., 2011. "Ambiguity Aversion and Portfolio Choice in Small-Scale Peruvian Farming," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-56, November.
    11. Morsink,Karlijn & Clarke,Daniel Jonathan & Mapfumo,Shadreck, 2016. "How to measure whether index insurance provides reliable protection," Policy Research Working Paper Series 7744, The World Bank.
    12. Paulson, Nicholas David, 2007. "Three essays on risk and uncertainty in agriculture," ISU General Staff Papers 2007010108000016979, Iowa State University, Department of Economics.
    13. Mafoua, Edouard & Turvey, Calum G., 2004. "Effects Of Weather Events On Loss Ratios For Crop Insurance Products: A County-Level Panel Data Analysis," 2004 Annual meeting, August 1-4, Denver, CO 20113, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Million Tadesse & Bekele Shiferaw & Olaf Erenstein, 2015. "Weather index insurance for managing drought risk in smallholder agriculture: lessons and policy implications for sub-Saharan Africa," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 3(1), pages 1-21, December.
    15. Sherrick, Bruce J., 2001. "The Accuracy Of Producer Expectations: Evidence And Implications For Insurance Valuation," 2001 Regional Committee NC-221, October 1-2, 2001, McLean, Virginia 132390, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
    16. Ayako Matsuda & Takashi Kurosaki, 2017. "Temperature and Rainfall Index Insurance in India," OSIPP Discussion Paper 17E002, Osaka School of International Public Policy, Osaka University.
    17. Turvey, Calum G. & Chantarat, Sommarat, 2006. "Weather-Linked Bonds," 2006 Agricultural and Rural Finance Markets in Transition, October 2-3, 2006, Washington, DC 133091, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
    18. Sarris, Alexander, 2002. "The demand for commodity insurance by developing country agricultural producers - theory and an application to cocoa in Ghana," Policy Research Working Paper Series 2887, The World Bank.
    19. Valdivia, Corinne & Quiroz, Roberto, 2003. "Coping And Adapting To Increased Climate Variability In The Andes," 2003 Annual meeting, July 27-30, Montreal, Canada 22221, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Reardon, Thomas & Kelly, Valerie A. & Yanggen, David & Crawford, Eric W., 1999. "Determinants Of Fertilizer Adoption By African Farmers: Policy Analysis Framework, Illustrative Evidence, And Implications," Staff Paper Series 11779, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    21. Nicholas D. Paulson & Chad E. Hart & Dermot J. Hayes, 2010. "A spatial Bayesian approach to weather derivatives," Agricultural Finance Review, Emerald Group Publishing, vol. 70(1), pages 79-96, May.
    22. Geyser, J.M., 2004. "Weather derivatives: Concept and application for their use in South Africa," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 0(Issue 4), pages 1-21, December.
    23. Simon Lange & Malte Reimers, 2014. "Livestock as an Imperfect Buffer Stock in Poorly Integrated Markets," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 162, Courant Research Centre PEG.
    24. Mafoua, Edouard, 2003. "Weather Insurance To Protect Specialty Crops Against Costs Of Irrigation In Drought Years," 2003 Annual meeting, July 27-30, Montreal, Canada 21922, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    25. Sherrick, Bruce J., 2002. "The Accuracy Of Producers' Probability Beliefs: Evidence And Implications For Insurance Valuation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 0(Number 1), pages 1-17, July.

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