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Weather risk and the viability of weather insurance in China's Gansu, Shaanxi, and Henan provinces

Author

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  • Calum G. Turvey
  • Rong Kong

Abstract

Purpose - The purpose of this paper is to investigate weather risks facing Chinese farmers, and to determine whether farmers would have a preference for weather insurance over other types of agricultural insurance. Design/methodology/approach - The data are based on 1,564 farm households surveyed in Shaanxi, Henan, and Gansu provinces in Central China between October 2007 and 2008. Findings - Results 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 percent 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 action has already been taken to self‐insure through diversification and other means. Research limitations/implications - This research is based on primary data gathered in China. However, the authors are limited in the access to Chinese weather station data to illustrate how weather insurance operates. Instead, the authors use weather data from the weather station in Ashland, Kansas which has similarities to the wheat growing regions of China. While the example is for illustrative purposes only, the authors cannot claim that it actually represents premiums that might actually be found in China. Practical implications - The Chinese Government has within the past year authorized an investigation into agricultural insurance. The burst of research and applications of weather insurance in both developed and developing countries suggest that a wide array of applications could be feasible in China. The results are encouraging because they suggest that farmers in China would have an interest in purchasing weather insurance. Originality/value - The authors believe that this is the first study conducted on weather insurance in China. The survey instrument is designed to specifically determine what weather risks are important to Chinese farmers and the interest that farmers would have in using such a product.

Suggested Citation

  • Calum G. Turvey & Rong Kong, 2010. "Weather risk and the viability of weather insurance in China's Gansu, Shaanxi, and Henan provinces," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 2(1), pages 5-24, February.
  • Handle: RePEc:eme:caerpp:v:2:y:2010:i:1:p:5-24
    DOI: 10.1108/17561371011017469
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    Citations

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    Cited by:

    1. Hou, Lingling & Min, Shi & Huang, Qiuqiong & Huang, Jikun, 2023. "Farmers' perceptions of drought-severity and the impacts on ex-ante and ex-post adaptations to droughts: Evidence from maize farmers in China," Agricultural Water Management, Elsevier, vol. 279(C).
    2. Arieska Wening Sarwosri & Oliver Mußhoff, 2020. "Are Risk Attitudes and Time Preferences Crucial Factors for Crop Diversification by Smallholder Farmers?," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(6), pages 922-942, August.
    3. Wening Sarwosri, Arieska & Mußhoff, Oliver, 2019. "Can crop diversification of perennial crop by smallholder farmers explained by risk attitudes and time preferences?," EFForTS Discussion Paper Series 28, University of Goettingen, Collaborative Research Centre 990 "EFForTS, Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems (Sumatra, Indonesia)".
    4. Ostap Okhrin & Martin Odening & Wei Xu, 2013. "Systemic Weather Risk and Crop Insurance: The Case of China," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(2), pages 351-372, June.
    5. Liu, Xianglin & Tang, Yingmei & Miranda, Mario J., 2015. "Does Past Experience in Natural Disasters Affect Willingness-to-Pay for Weather Index Insurance? Evidence from China," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205374, Agricultural and Applied Economics Association.
    6. Lu Zong & Manuela Ender, 2018. "Comparison of Stochastic and Spline Models for Temperature‐based Derivatives in China," Pacific Economic Review, Wiley Blackwell, vol. 23(4), pages 547-589, October.
    7. CMaria Osipenko & Wolfgang Karl Härdle, 2017. "Dynamic Valuation of Weather Derivatives under Default Risk," SFB 649 Discussion Papers SFB649DP2017-005, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    8. Martínez-Salgueiro, Andrea & Tarrazón-Rodón, María-Antonia, 2020. "Is diversification effective in reducing the systemic risk implied by a market for weather index-based insurance in Spain?," MPRA Paper 119924, University Library of Munich, Germany, revised 19 May 2021.
    9. Wolfgang Karl Härdle & Maria Osipenko, 2017. "A Dynamic Programming Approach for Pricing Weather Derivatives under Issuer Default Risk," IJFS, MDPI, vol. 5(4), pages 1-18, October.

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