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Crop Insurance premium ratemaking Based on Survey Data:A Case Study from Dingxing County, China

International Journal of Disaster Risk Science 2015年第3期6卷 207-215页

作者： Xingming Zhang Weixia Yin Jun Wang Tao Ye Jintao Zhao Jing’ai Wang State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University School of Geography Beijing Normal University Key Laboratory of Regional Geography Beijing Normal University Academy of Disaster Reduction and Emergency Management Beijing Normal University People’s Insurance Company of China School of Management Langfang Teachers College

premium ratemaking is an important issue to guarantee insurance balance of payments. Most ratemaking methods require large samples of long-term loss data or farm-level yield data, which are often unavailable in developing countries. This study develops a crop insurance ratemaking method with survey data. The method involves a questionnaire survey on characteristic yield information(average yield, high yield, and low yield) of farming households’ cropland. After compensating for random error, the probability distributions of farm-level yields are simulated with characteristic yields based on the linear additive model. The premium rate is calculated based on Monte Carlo yield simulation results. This method was applied to Dingxing County, North China to arrive at the insurance loss cost ratio and calculate the necessary premium rate. The method proposed in this study could serve as a feasible technique for crop insurance ratemaking inregions that lack sufficient long-term yield data, especially in developing countries with smallholder agriculture.

关键词： Agricultural risk Characteristic agricultural yield Crop insurance North China premium ratemaking

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