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Enhancing adaptive capacity through climate-smart insurance: Theory and evidence from India

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  • Kramer, B.
  • Ceballos, F.

Abstract

Bundling agricultural insurance with climate-smart technologies and practices (CSA) can help improve risk management for smallholder farmers. This paper analyzes how bundling affects demand for insurance and CSA. Calibrating index insurance parameters to CSA payoff profiles increases the demand for insurance, but only when basis risk is low, and these effects of reducing basis risk itself. This raises the question how to bundle insurance products that leverage new technologies to provide indemnity insurance coverage with minimal basis risk. We therefore study the effect of bundling indemnity insurance with CSA technologies. Specifically, in a field experiment in India, we test whether conditioning insurance payouts on not burning residues improves residue management as a CSA technology. We find that this is the case, suggesting that indemnity insurance can help promote CSA technology adoption, but we also discuss shortcomings of this bundling approach, and identify potential alternatives to combine indemnity insurance and CSA technologies into a complementary risk management bundle.

Suggested Citation

  • Kramer, B. & Ceballos, F., 2018. "Enhancing adaptive capacity through climate-smart insurance: Theory and evidence from India," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275926, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae18:275926
    DOI: 10.22004/ag.econ.275926
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    References listed on IDEAS

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    1. Mark R. Rosenzweig & Christopher Udry, 2014. "Rainfall Forecasts, Weather, and Wages over the Agricultural Production Cycle," American Economic Review, American Economic Association, vol. 104(5), pages 278-283, May.
    2. Dean Karlan & Robert Osei & Isaac Osei-Akoto & Christopher Udry, 2014. "Agricultural Decisions after Relaxing Credit and Risk Constraints," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(2), pages 597-652.
    3. Shawn Cole & Xavier Giné & James Vickery, 2017. "How Does Risk Management Influence Production Decisions? Evidence from a Field Experiment," Review of Financial Studies, Society for Financial Studies, vol. 30(6), pages 1935-1970.
    4. Pandey, Rita, 2014. "Groundwater Irrigation in Punjab: Some Issues and Way Forward," Working Papers 14/140, National Institute of Public Finance and Policy.
    5. Carter, Michael R. & Cheng, Lan & Sarris, Alexandros, 2016. "Where and how index insurance can boost the adoption of improved agricultural technologies," Journal of Development Economics, Elsevier, vol. 118(C), pages 59-71.
    6. Patrick S. Ward & David L. Ortega & David J. Spielman & Neha Kumar & Sumedha Minocha, 2020. "Demand for Complementary Financial and Technological Tools for Managing Drought Risk," Economic Development and Cultural Change, University of Chicago Press, vol. 68(2), pages 607-653.
    7. Ceballos, F. & Kramer, B. & Robles, M., 2018. "The Feasibility of Picture-Based Crop Insurance (PBI): Smartphone Pictures for Affordable Crop Insurance," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277141, International Association of Agricultural Economists.
    8. Rita Pandey, 2016. "Groundwater Irrigation in Punjab: Some Issues and a Way Forward," India Studies in Business and Economics, in: Lakhwinder Singh & Nirvikar Singh (ed.), Economic Transformation of a Developing Economy, edition 1, chapter 0, pages 97-117, Springer.
    9. Ward, Patrick S. & Spielman, David J. & Ortega, David L. & Kumar, Neha & Minocha, Sumedha, 2015. "Demand for Complementary Financial and Technological Tools for Managing Drought Risk: Evidence from Rice Farmers in Bangladesh," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 204882, Agricultural and Applied Economics Association.
    10. Leslie Lipper & Philip Thornton & Bruce M. Campbell & Tobias Baedeker & Ademola Braimoh & Martin Bwalya & Patrick Caron & Andrea Cattaneo & Dennis Garrity & Kevin Henry & Ryan Hottle & Louise Jackson , 2014. "Climate-smart agriculture for food security," Nature Climate Change, Nature, vol. 4(12), pages 1068-1072, December.
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    Cited by:

    1. B. Kelsey Jack & Seema Jayachandran & Namrata Kala & Rohini Pande, 2022. "Money (Not) to Burn: Payments for Ecosystem Services to Reduce Crop Residue Burning," NBER Working Papers 30690, National Bureau of Economic Research, Inc.
    2. G. Cornelis van Kooten, 2020. "Climate Change and Agriculture," Working Papers 2020-01, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.

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    Keywords

    Agricultural and Food Policy; Environmental Economics and Policy; International Development;
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