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Weather Index Insurance and Climate Change: Opportunities and Challenges in Lower Income Countries

Author

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  • Benjamin Collier

    (Agricultural Economics, University of Kentucky, 1008 S. Broadway, Lexington, KY 40504, U.S.A.)

  • Jerry Skees

    (Agricultural Economics, University of Kentucky, 1008 S. Broadway, Lexington, KY 40504, U.S.A.)

  • Barry Barnett

    (Agricultural Economics, Mississippi State University, Starkville, MS, U.S.A)

Abstract

Weather index insurance underwrites a weather risk, typically highly correlated with agricultural production losses, as a proxy for economic loss and is gaining popularity in lower income countries. This instrument, although subject to basis risk and high start-up costs, should reduce costs over traditional agricultural insurance. Multilateral institutions have suggested that weather index insurance could enhance the ability of stakeholders in lower income countries to adapt to climate change. While weather index insurance could have several benefits in this context (e.g. providing a safety net to vulnerable households and price signals regarding the weather risk), climate change impacts increase the price of insurance due to increasing weather risk. Uncertainty about the extent of regional impacts compounds pricing difficulties. Policy recommendations for insurance market development include funding risk assessments, start-up costs and the extreme layer of risk. General premium subsidies are cautioned against as they may actually slow household adaptation. The Geneva Papers (2009) 34, 401–424. doi:10.1057/gpp.2009.11

Suggested Citation

  • Benjamin Collier & Jerry Skees & Barry Barnett, 2009. "Weather Index Insurance and Climate Change: Opportunities and Challenges in Lower Income Countries," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 34(3), pages 401-424, July.
  • Handle: RePEc:pal:gpprii:v:34:y:2009:i:3:p:401-424
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    Citations

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    Cited by:

    1. Linging Hou & Dana L.K. Hoag & Yueying Mu, 2011. "Testing for adverse selection of crop insurance in northern China," China Agricultural Economic Review, Emerald Group Publishing, vol. 3(4), pages 462-475, November.
    2. Juarez-Torres, Miriam & Sanchez, Leonardo & Vedenov, Dmitry V., 2012. "Effectiveness of Weather Derivatives as Cross-Hedging Instrument against Climate Change: The Cases of Reservoir Water Allocation Management in Guanajuato, Mexico," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124813, Agricultural and Applied Economics Association.
    3. Kusuma, Aditya & Noy, Ilan & Jackson, Bethanna, 2017. "A viable and cost-effective weather index insurance for rice in Indonesia," Working Paper Series 6393, Victoria University of Wellington, School of Economics and Finance.
    4. Cristian KEVORCHIAN & Camelia GAVRILESCU & Gheorghe HURDUZEU, 2015. "An Approach Based On Big Data And Machine Learning For Optimizing The Management Of Agricultural Production Risks," Agricultural Economics and Rural Development, Institute of Agricultural Economics, vol. 12(2), pages 117-128.
    5. Oberlack, Christoph & Eisenack, Klaus, 2012. "Overcoming barriers to urban adaptation through international cooperation? Modes and design properties under the UNFCCC," The Constitutional Economics Network Working Papers 03-2012, University of Freiburg, Department of Economic Policy and Constitutional Economic Theory.
    6. Benjamin Collier & Jerry Skees, 2012. "Increasing the resilience of financial intermediaries through portfolio-level insurance against natural disasters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 55-72, October.
    7. Collier, Benjamin, 2013. "Exclusive finance: How unmanaged systemic risk continues to limit financial services for the poor in a booming sector," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150433, Agricultural and Applied Economics Association.
    8. Mamata Swain & Sasmita Patnaik, "undated". "Performance Assessment of Crop Insurance Schemes in Odisha in Eastern India," Working papers 104, The South Asian Network for Development and Environmental Economics.
    9. Kimura, Shingo & Anton, Jesus & Cattaneo, Andrea, 2012. "Effective Risk Management Policy choices under Climate Change: An Application to Saskatchewan Crop Sector," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126736, International Association of Agricultural Economists.
    10. Asher Siebert, 2016. "Analysis of the future potential of index insurance in the West African Sahel using CMIP5 GCM results," Climatic Change, Springer, vol. 134(1), pages 15-28, January.
    11. Achtnicht, Martin & Osberghaus, Daniel, 2016. "The demand for index-based flood insurance in a high-income country," ZEW Discussion Papers 16-051, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    12. Swain, M., 2015. "Performance of Crop Yield and Rainfall Insurance Schemes in Odisha: Some Empirical Findings," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 28(2).
    13. Jesse Tack & Andrew Barkley & Lawton Nalley, 2014. "Heterogeneous effects of warming and drought on selected wheat variety yields," Climatic Change, Springer, vol. 125(3), pages 489-500, August.
    14. Asher Siebert, 2016. "Analysis of the future potential of index insurance in the West African Sahel using CMIP5 GCM results," Climatic Change, Springer, vol. 134(1), pages 15-28, January.

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