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1. Is the “One Province One Rate” premium policy reasonable for Chinese crop insurance? The case in Jilin Province
ZHOU Xian-hua, LIAO Pu, WANG Ke
Journal of Integrative Agriculture    2018, 17 (08): 1900-1911.   DOI: 10.1016/S2095-3119(18)62032-5
摘要460)      PDF    收藏
Crop insurance in China is currently adopting the premium pricing strategy of “One Province One Rate”, which appears to be in line with the systematic risk characteristics within crop insurance.  This research aims to investigate the theoretical rationalization of this pricing strategy and its implications using the spatial lag model and the county-level data from the 45 corn plant counties of Jilin Province, China.  Results corroborate that: (1) the spatial spillover effect of the corn yield risk is significant in Jilin but decreases rapidly when the risk unit includes more than eight counties; and (2) separating Jilin Province into eight risk zones for corn insurance will significantly reduce the high cross-subsidy phenomenon arising from the “One Province One Rate” strategy and shall benefit poor peasants in the region as well.  This paper not only proves the existence of a systematic risk of crop insurance but also reveals that the spatial correlation and systemic features of the crop yield risk do not create a solid foundation for the current pricing strategy of “One Province One Rate”.  These conclusions will undoubtedly provide important references and empirical evidence for the role of China’s crop insurance in poverty alleviation.
 
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2. Empirical study on optimal reinsurance for crop insurance in China from an insurer’s perspective
ZHOU Xian-hua, WANG Yun-bo, ZHANG Hua-dong, WANG Ke
Journal of Integrative Agriculture    2015, 14 (10): 2121-2133.   DOI: 10.1016/S2095-3119(14)60998-9
摘要1360)      PDF    收藏
This study investigates the optimal reinsurance for crop insurance in China in an insurer’s perspective using the data from Inner Mongolia, Jilin, and Liaoning, China. On the basis of the loss ratio distributions modeled by AnHua Crop Risk Evaluation System, we use the empirical model developed by Tan and Weng (2014) to study the optimal reinsurance design for crop insurance in China. We find that, when the primary insurer’s loss function, the principle of the reinsurance premium calculation, and the risk measure are given, the level of risk tolerance of the primary insurer, the safety loading coefficient of the reinsurer, and the constraint on reinsurance premium budget affect the optimal reinsurance design. When a strict constraint on reinsurance premium budget is implemented, which often occurs in reality, the limited stop loss reinsurance is optimal, consistent with the common practice in reality. This study provides suggestions for decision making regarding the crop reinsurance in China. It also provides empirical evidence for the literature on optimal reinsurance from the insurance market of China. This evidence undoubtedly has an important practical significance for the development of China’s crop insurance.
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