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Weather Risk and the Viability of Weather Insurance In Western China

Author

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  • Turvey, Calum G.
  • Kong, Rong
  • Belltawn, Burgen

Abstract

This paper presents preliminary results on the possible demand for weather insurance in China. Results from 1,564 farm households from Western and Central China between October 2007 and October 2008 suggest that the greater risk for farmers is drought followed by excessive rain. Heat is less critical as a risk but more significant than cool weather. Results suggest a strong interest in precipitation insurance with 50% and 44% of respondents indicating strong interest in the product. Supplementary results indicate that interest is equal between planting, cultivating, and harvesting. Furthermore results suggest that farmers are willing to adopt new ideas, and where possible already take action to self insure through diversification and other means, The results are encouraging. Examples and discussion of how weather insurance can be implemented is included in the text.

Suggested Citation

  • Turvey, Calum G. & Kong, Rong & Belltawn, Burgen, 2009. "Weather Risk and the Viability of Weather Insurance In Western China," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49362, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea09:49362
    DOI: 10.22004/ag.econ.49362
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    References listed on IDEAS

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    1. Oliver Musshoff & Norbert Hirschauer & Martin Odening, 2008. "Portfolio effects and the willingness to pay for weather insurances," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 68(1), pages 83-97, May.
    2. 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. 37(1), pages 1-16, April.
    3. Richards, Timothy J. & Manfredo, Mark R. & Sanders, Dwight R., 2004. "Pricing Weather Derivatives," Working Papers 28536, Arizona State University, Morrison School of Agribusiness and Resource Management.
    4. Calum G. Turvey, 2008. "The pricing, structure, and function of weather‐linked bonds, mortgages, and operating credit," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 68(1), pages 135-150, May.
    5. Timothy J. Richards & James Eaves & Valerie Fournier & S.E. Naranjo & C.-C. Chu & T.J. Henneberry, 2006. "Managing economic risk caused by insects: bug options," Agricultural Finance Review, Emerald Group Publishing, vol. 66(1), pages 27-45, May.
    6. Joshua D. Woodard & Philip Garcia, 2008. "Basis risk and weather hedging effectiveness," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 68(1), pages 99-117, May.
    7. Skees, Jerry R., 2008. "Innovations in Index Insurance for the Poor in Lower Income Countries," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 37(1), pages 1-15, April.
    8. T.J. Richards & J. Eaves & M. Manfredo & S.E. Naranjo & C.-C. Chu & T.J. Henneberry, 2008. "Spatial-Temporal Model of Insect Growth, Diffusion and Derivative Pricing," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 962-978.
    9. Martin Odening & Oliver Musshoff & Wei Xu, 2007. "Analysis of rainfall derivatives using daily precipitation models: opportunities and pitfalls," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 67(1), pages 135-156, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Baojing Sun & Changhao Guo & G. Cornelis van Kooten, 2013. "Weather Derivatives and Crop Insurance in China," Working Papers 2013-02, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    2. 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 Limited, vol. 3(4), pages 462-475, November.
    3. Sun, Baojing & van Kooten, G. Cornelis, 2012. "Climate Impacts on Chinese Corn Yields: A Fractional Polynomial Regression Model," Working Papers 127966, University of Victoria, Resource Economics and Policy.
    4. Baojing Sun & G. Cornelis van Kooten, 2014. "Financial Weather Options for Crop Production," Working Papers 2014-03, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    5. Sun, Baojing, 2017. "Financial Weather Derivatives for Corn Production in Northeastern China: Modelling the Underlying Weather Index," Working Papers 257083, University of Victoria, Resource Economics and Policy.
    6. Sun, Baojing, 2017. "Financial Weather Derivatives for Corn Production in Northeastern China: Modelling the underlying Weather Index," Working Papers 263197, University of Victoria, Resource Economics and Policy.
    7. Sun, Baojing & van Kooten, G. Cornelis, 2015. "Financial weather derivatives for corn production in Northern China: A comparison of pricing methods," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 201-209.
    8. Baojing Sun, 2017. "Financial Weather Derivatives for Corn Production in Northeastern China: Modelling the underlying Weather Index," Working Papers 2017-05, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    9. Filonov, Vitaly & Vedenov, Dmitry V., 2011. "Applications of copulas to Analysis of Efficiency of Weather Derivatives as Primary Crop Insurance Instruments," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103972, Agricultural and Applied Economics Association.

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    Keywords

    Agricultural and Food Policy; Agricultural Finance; International Development; Risk and Uncertainty;
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