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Factors affecting farmers’ willingness to purchase weather index insurance in the Hainan Province of China

Author

Listed:
  • Jia Lin
  • Milton Boyd
  • Jeffrey Pai
  • Lysa Porth
  • Qiao Zhang
  • Ke Wang

Abstract

Purpose - – The purpose of this paper is to explain the factors affecting farmers’ willingness to purchase weather index insurance for crops in China, in the Province of Hainan, and to also provide additional background information on weather index insurance. Design/methodology/approach - – A survey of 134 farmers was undertaken in Hainan, China, regarding their willingness to purchase weather index insurance. A probit regression model was used, and a number of variables were included to explain willingness of farmers to purchase weather index insurance. Findings - – In total, 11 of 15 variables in the model are found to be statistically significant in explaining farmers’ willingness to purchase weather index insurance. Research limitations/implications - – First, farmers’ interest in weather index insurance may be limited due to basis risk. Second, some farmers may not sufficiently understand weather index insurance and so may not purchase it, and a considerable portion of farmers may also require a subsidy if they are to purchase weather insurance. Practical implications - – Weather index insurance may provide a lower cost alternative than traditional crop insurance, however, basis risk remains a main challenge. Originality/value - – This is the first study to quantitatively study the factors affecting the willingness of farmers to purchase weather index insurance for agriculture in the province of Hainan, China.

Suggested Citation

  • Jia Lin & Milton Boyd & Jeffrey Pai & Lysa Porth & Qiao Zhang & Ke Wang, 2015. "Factors affecting farmers’ willingness to purchase weather index insurance in the Hainan Province of China," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 75(1), pages 103-113, May.
  • Handle: RePEc:eme:afrpps:v:75:y:2015:i:1:p:103-113
    DOI: 10.1108/AFR-02-2015-0007
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    Citations

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    Cited by:

    1. Mitchell Roznik & C. Brock Porth & Lysa Porth & Milton Boyd & Katerina Roznik, 2019. "Improving agricultural microinsurance by applying universal kriging and generalised additive models for interpolation of mean daily temperature," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(3), pages 446-480, July.
    2. Zed Zulkafli & Farrah Melissa Muharam & Nurfarhana Raffar & Amirparsa Jajarmizadeh & Mukhtar Jibril Abdi & Balqis Mohamed Rehan & Khairudin Nurulhuda, 2021. "Contrasting Influences of Seasonal and Intra-Seasonal Hydroclimatic Variabilities on the Irrigated Rice Paddies of Northern Peninsular Malaysia for Weather Index Insurance Design," Sustainability, MDPI, vol. 13(9), pages 1-23, May.

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