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An innovative type of forest insurance in China based on the robust approach

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  • Feng, Xin
  • Dai, Yongwu

Abstract

Lack of a differential premium scheme is a major factor restricting the development of China's forest insurance. In this paper, we tackle the forest insurance design problem. By establishing an insurance game model among government, insurance company, and foresters, we first derive an innovative type of insurance based on the value of forest stock volume. This type of insurance has a more flexible pricing space and less dependence on government subsidy. Next, taking the disaster probability and its likely unpredictability into account, we propose a robust premium design strategy based on the min-max regret criterion where the disaster probability can assume any real value within a given interval. Then, we introduce a computational experiment to explain the relationship between the characteristics of forestry (e.g., forest value, government subsidies, understanding of the forest insurance, attention on disaster probability, and variability of the annual disaster probability) and the efficiency of the proposed insurance. The experiment also reveals that the performance of the proposed insurance in an average scenario is much improved.

Suggested Citation

  • Feng, Xin & Dai, Yongwu, 2019. "An innovative type of forest insurance in China based on the robust approach," Forest Policy and Economics, Elsevier, vol. 104(C), pages 23-32.
    • Handle: RePEc:eee:forpol:v:104:y:2019:i:c:p:23-32
    DOI: 10.1016/j.forpol.2019.03.012
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    References listed on IDEAS

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    1. Dai, Yongwu & Chang, Hung-Hao & Liu, Weiping, 2015. "Do forest producers benefit from the forest disaster insurance program? Empirical evidence in Fujian Province of China," Forest Policy and Economics, Elsevier, vol. 50(C), pages 127-133.
    2. Gilberto A. Paula & Víctor Leiva & Michelli Barros & Shuangzhe Liu, 2012. "Robust statistical modeling using the Birnbaum‐Saunders‐t distribution applied to insurance," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 28(1), pages 16-34, January.
    3. Sacchelli, Sandro & Cipollaro, Maria & Fabbrizzi, Sara, 2018. "A GIS-based model for multiscale forest insurance analysis: The Italian case study," Forest Policy and Economics, Elsevier, vol. 92(C), pages 106-118.
    4. Xuan Chen & Barry K. Goodwin & Jeffrey P. Prestemon, 2014. "Is Timber Insurable? A Study of Wildfire Risks in the U.S. Forest Sector Using Spatio-temporal Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 213-231.
    5. Brunette, M. & Holecy, J. & Sedliak, M. & Tucek, J. & Hanewinkel, M., 2015. "An actuarial model of forest insurance against multiple natural hazards in fir (Abies Alba Mill.) stands in Slovakia," Forest Policy and Economics, Elsevier, vol. 55(C), pages 46-57.
    6. Yin, Runsheng, 2016. "Empirical linkages between devolved tenure systems and forest conditions: An introduction to the literature review," Forest Policy and Economics, Elsevier, vol. 73(C), pages 271-276.
    7. Yin, Runsheng & Zulu, Leo & Qi, Jiaguo & Freudenberger, Mark & Sommerville, Matthew, 2016. "Empirical linkages between devolved tenure systems and forest conditions: Primary evidence," Forest Policy and Economics, Elsevier, vol. 73(C), pages 277-285.
    8. Shi, Miaoying & Yin, Runsheng & Zulu, Leo & Qi, Jiaguo & Freudenberger, Mark & Sommerville, Matthew, 2016. "Empirical linkages between devolved tenure systems and forest conditions: Selected case studies and country experiences," Forest Policy and Economics, Elsevier, vol. 73(C), pages 286-293.
    9. Yin, Runsheng & Zulu, Leo & Qi, Jiaguo & Freudenberger, Mark & Sommerville, Matthew, 2016. "Empirical linkages between devolved tenure systems and forest conditions: Challenges, findings, and recommendations," Forest Policy and Economics, Elsevier, vol. 73(C), pages 294-299.
    10. Barreal, Jesús & Loureiro, Maria L. & Picos, Juan, 2014. "On insurance as a tool for securing forest restoration after wildfires," Forest Policy and Economics, Elsevier, vol. 42(C), pages 15-23.
    11. Deng, Yiling & Munn, Ian A. & Coble, Keith & Yao, Haibo, 2015. "Willingness To Pay For Potential Standing Timber Insurance," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 47(4), pages 510-538, November.
    12. Sauter, Philipp A. & Hermann, Daniel & Mußhoff, Oliver, 2018. "Are foresters really risk-averse? A multi-method analysis and a cross-occupational comparison," Forest Policy and Economics, Elsevier, vol. 95(C), pages 37-45.
    13. Sauter, Philipp A. & Möllmann, Torsten B. & Anastassiadis, Friederike & Mußhoff, Oliver & Möhring, Bernhard, 2016. "To insure or not to insure? Analysis of foresters' willingness-to-pay for fire and storm insurance," Forest Policy and Economics, Elsevier, vol. 73(C), pages 78-89.
    14. Asimit, Alexandru V. & Bignozzi, Valeria & Cheung, Ka Chun & Hu, Junlei & Kim, Eun-Seok, 2017. "Robust and Pareto optimality of insurance contracts," European Journal of Operational Research, Elsevier, vol. 262(2), pages 720-732.
    15. Tian, Nana & Poudyal, Neelam C. & Lu, Fadian, 2018. "Understanding landowners’ interest and willingness to participate in forest certification program in China," Land Use Policy, Elsevier, vol. 71(C), pages 271-280.
    16. Xu, Jintao & Hyde, William F., 2019. "China's second round of forest reforms: Observations for China and implications globally," Forest Policy and Economics, Elsevier, vol. 98(C), pages 19-29.
    17. Qin, Tao & Gu, Xuesong & Tian, Zhiwei & Pan, Huanxue & Deng, Jing & Wan, Li, 2016. "An empirical analysis of the factors influencing farmer demand for forest insurance: Based on surveys from Lin’an County in Zhejiang Province of China," Journal of Forest Economics, Elsevier, vol. 24(C), pages 37-51.
    18. Aissi, Hassene & Bazgan, Cristina & Vanderpooten, Daniel, 2009. "Min-max and min-max regret versions of combinatorial optimization problems: A survey," European Journal of Operational Research, Elsevier, vol. 197(2), pages 427-438, September.
    19. Holecy, Jan & Hanewinkel, Marc, 2006. "A forest management risk insurance model and its application to coniferous stands in southwest Germany," Forest Policy and Economics, Elsevier, vol. 8(2), pages 161-174, March.
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