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Rural demand for drought insurance

Author

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  • Gautam, Madhur
  • Hazell, Peter
  • Alderman, Harold

Abstract

Many agricultural regions in the developing world are subject to severe droughts, which can have devastating effects on household incomes and consumption, especially for the poor. To protect consumption, rural households engage in many different risk management strategies - some mainly risk-reducing and some simply coping devices to protect consumption once income has been lost. An important limitation of these traditional risk management strategies is their inability to insure against covariate risks and they are also costly.. The absence of formal credit and insurance institutions, which offer an efficient alternative by overcoming regional covariance problems and reducing the cost of risk management, amounts to a market failure. Past research has paid much more attention to the supply-side reasons for this market failure than to the demand side question of whether there exist financial instruments that farmers want and would be willing to pay for. The authors use a dynamic household model to examine the efficiency of drought management strategies used by peasant households. An attractive feature of the method is that it exploits actual production (input-output) data and does not deal with the usually unreliable data on household consumption and leisure activities. The model is applied to a two-year panel of data on households from five villages in Tamil Nadu (South India). The sample is small, but the data are special, as one of the two years was a severe drought year. The results indicate that agricultural households exhibit significant risk-avoidance bahavior, and that even though they may use a range of risk management strategies, there still remains an unmet demand for insurance against drought risks. The study did not estimate the likely costs of supplying drought insurance, but the latent demand in the study region is strong enough to more than cover the breakeven rate of approximately the pure risk cost (the probability of drought) plus 5 percent administration costs. The findings confirm the inadequacies of traditional strategies of coping with droughts in poor rural areas. Because of the catastrophic and simultaneous effects of droughts on all households over large areas, there is limited scope for spreading risks effectively at the local level. Either households must increase their savings significantly (a problem with low average incomes and an absence of safe and convenient savings instruments), or more effective risk management aids are needed that can overcome the covariation problem. Improved financial markets (with both credit and savings facilities) could be helpful, particularly if they intermediate over a larger and more diverse economic base than the local economy. Alternatively, formal drought insurance in the form of a drought (or rainfall) lottery might be feasible, and the results suggest that it could be sold on a full-cost basis.

Suggested Citation

  • Gautam, Madhur & Hazell, Peter & Alderman, Harold, 1994. "Rural demand for drought insurance," Policy Research Working Paper Series 1383, The World Bank.
  • Handle: RePEc:wbk:wbrwps:1383
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    References listed on IDEAS

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    Cited by:

    1. 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).
    2. 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.
    3. Paulson, Nicholas David, 2007. "Three essays on risk and uncertainty in agriculture," ISU General Staff Papers 2007010108000016979, Iowa State University, Department of Economics.
    4. Farrin, Katie & Miranda, Mario J., 2015. "A heterogeneous agent model of credit-linked index insurance and farm technology adoption," Journal of Development Economics, Elsevier, vol. 116(C), pages 199-211.
    5. Skees, Jerry & Varangis, Panos & Larson, Donald & Siegel, Paul, 2002. "Can financial markets be tapped to help poor people cope with weather risks ?," Policy Research Working Paper Series 2812, The World Bank.
    6. Larson, Donald F. & Plessmann, Frank, 2009. "Do farmers choose to be inefficient? Evidence from Bicol," Journal of Development Economics, Elsevier, vol. 90(1), pages 24-32, September.
    7. Nicholas D. Paulson & Chad E. Hart & Dermot J. Hayes, 2010. "A spatial Bayesian approach to weather derivatives," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(1), pages 79-96, May.
    8. Céline Charvériat, 2000. "Desastres naturales en América Latina y el Caribe: panorámica general del riesgo," Research Department Publications 4234, Inter-American Development Bank, Research Department.
    9. Nataliia Zhuk, 2019. "Accounting and Taxation of Insurance Operations at Agricultural Enterprises," Oblik i finansi, Institute of Accounting and Finance, issue 4, pages 5-10, December.
    10. Pandey, Sushil & Bhandari, Humnath & Ding, Shijun & Prapertchob, Preeda & Sharan, Ramesh & Naik, Dibakar & Taunk, Sudhir K. & Sastri, Asras, 2006. "Coping with Drought in Rice Farming in Asia: Insights from a Cross-Country Comparative Study," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25553, International Association of Agricultural Economists.
    11. Marcos Gallacher & Daniel Lema & Laura Gastaldi & Alejandro Galetto, 2016. "Climate variability and agricultural production in argentina: the role of risk-transfer mechanisms," Ensayos de Política Económica, Departamento de Investigación Francisco Valsecchi, Facultad de Ciencias Económicas, Pontificia Universidad Católica Argentina., vol. 2(4), pages 11-38, Octubre.
    12. Charvériat, Céline, 2000. "Natural Disasters in Latin America and the Caribbean: An Overview of Risk," IDB Publications (Working Papers) 1804, Inter-American Development Bank.
    13. 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.
    14. Céline Charvériat, 2000. "Natural Disasters in Latin America and the Caribbean: An Overview of Risk," Research Department Publications 4233, Inter-American Development Bank, Research Department.
    15. Anderson, Jock R., 2003. "Risk in rural development: challenges for managers and policy makers," Agricultural Systems, Elsevier, vol. 75(2-3), pages 161-197.
    16. 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.
    17. Geyser, J.M., 2004. "Weather derivatives: Concept and application for their use in South Africa," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 43(4), pages 1-21, December.
    18. Osborne, Theresa, 2006. "Credit and risk in rural developing economies," Journal of Economic Dynamics and Control, Elsevier, vol. 30(4), pages 541-568, April.

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