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Improving farmers'access to agricultural insurance in India

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  • Clarke,Daniel Jonathan
  • Mahul,Olivier
  • Verma,Niraj

Abstract

India's crop insurance program is the world's largest with 25 million farmers insured. However, issues in design, particularly related to delays in claims settlement, have led to 95 million farmer households not being covered, despite significant government subsidy. To address this and other problems, the Government of India is piloting a modified National Agricultural Insurance Scheme, a market-based scheme with involvement from the private sector. Compared with the existing scheme, the new program has a design that can offer more timely, claim settlement, less distortion in the allocation of government subsidies and cross-subsidies between farmer groups, and reduced basis risk. Implementation and technical challenges lie ahead which can be addressed but will require a comprehensive strategy, innovative solutions, and timely roll out. This paper describes and analyzes both programs, and discusses lessons learned in developing and implementing the new program.

Suggested Citation

  • Clarke,Daniel Jonathan & Mahul,Olivier & Verma,Niraj, 2012. "Improving farmers'access to agricultural insurance in India," Policy Research Working Paper Series 5987, The World Bank.
    • Handle: RePEc:wbk:wbrwps:5987
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    References listed on IDEAS

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    1. Olivier Mahul & Charles J. Stutley, 2010. "Government Support to Agricultural Insurance : Challenges and Options for Developing Countries," World Bank Publications - Books, The World Bank Group, number 2432.
    2. Clarke,Daniel Jonathan & Mahul,Olivier & Verma,Niraj, 2012. "Index based crop insurance product design and ratemaking : the case of modified NAIS in India," Policy Research Working Paper Series 5986, The World Bank.
    3. Shawn Cole & Xavier Gine & Jeremy Tobacman & Petia Topalova & Robert Townsend & James Vickery, 2013. "Barriers to Household Risk Management: Evidence from India," American Economic Journal: Applied Economics, American Economic Association, vol. 5(1), pages 104-135, January.
    4. Daniel J. Clarke, 2016. "A Theory of Rational Demand for Index Insurance," American Economic Journal: Microeconomics, American Economic Association, vol. 8(1), pages 283-306, February.
    5. Carter, Michael R. & Galarza, Francisco B. & Boucher, Steve, 2007. "Underwriting Area-based Yield Insurance to Crowd- in Credit Supply Demand," Working Papers 190918, University of California, Davis, Department of Agricultural and Resource Economics.
    6. Dercon, Stefan (ed.), 2004. "Insurance Against Poverty," OUP Catalogue, Oxford University Press, number 9780199276837.
    7. World Bank, 2011. "World Development Indicators 2011," World Bank Publications - Books, The World Bank Group, number 2315.
    8. World Bank, 2011. "Enhancing Crop Insurance in India," World Bank Publications - Reports 2748, The World Bank Group.
    9. Carter, Michael R. & Galarza, Francisco & Boucher, Stephen, 2007. "Underwriting area-based yield insurance to crowd-in credit supply and demand," MPRA Paper 24326, University Library of Munich, Germany.
    10. Clarke,Daniel Jonathan & Mahul,Olivier & Rao,Kolli Nageswara & Verma,Niraj, 2012. "Weather based crop insurance in India," Policy Research Working Paper Series 5985, The World Bank.
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    Cited by:

    1. Clarke,Daniel Jonathan & Mahul,Olivier & Verma,Niraj, 2012. "Index based crop insurance product design and ratemaking : the case of modified NAIS in India," Policy Research Working Paper Series 5986, The World Bank.
    2. Baoubadi Atozou & Kotchikpa Lawin & Diombare Niang, 2017. "Impact of Weather Index Insurance on Groundnut Farmers’ Technical Efficient in Senegal: A Propensity Score Matching Approach," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 10(5), pages 131-131, September.
    3. World Bank, 2011. "Enhancing Crop Insurance in India," World Bank Publications - Reports 2748, The World Bank Group.
    4. Clarke,Daniel Jonathan & Mahul,Olivier & Rao,Kolli Nageswara & Verma,Niraj, 2012. "Weather based crop insurance in India," Policy Research Working Paper Series 5985, The World Bank.
    5. Clarke, Danielle & Das, Narayan C. & Hill, Ruth Vargas & Kumar, Neha & Mehta, Parendi & de Nicola, Francesca, 2012. "The value of customized insurance for farmers in rural Bangladesh:," IFPRI discussion papers 1202, International Food Policy Research Institute (IFPRI).
    6. Daniel J. Clarke, 2016. "A Theory of Rational Demand for Index Insurance," American Economic Journal: Microeconomics, American Economic Association, vol. 8(1), pages 283-306, February.
    7. Patil, Vikram & Veettil, Prakashan Chellattan & Yashodha, Yashodha, 2021. "Understanding Farmers’ Low Uptake of Crop Insurance in India: A Discrete Choice Experiment Approach," 2021 Conference, August 17-31, 2021, Virtual 315232, International Association of Agricultural Economists.
    8. Clarke, Daniel J. & Hill, Ruth Vargas, 2013. "Cost-benefit analysis of the african risk capacity facility:," IFPRI discussion papers 1292, International Food Policy Research Institute (IFPRI).

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    Keywords

    Hazard Risk Management; Insurance&Risk Mitigation; Climate Change Economics; Debt Markets; Emerging Markets;
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