中国农业气象 ›› 2025, Vol. 46 ›› Issue (01): 1-13.doi: 10.3969/j.issn.1000-6362.2025.01.001

• 农业气象保险专刊 •    下一篇

江苏省水稻高温热害气象指数保险产品设计及评价

任义方,陈思宁,赵艳霞   

  1. 1.江苏省气候中心,南京 210008;2.中国气象科学研究院&中再巨灾风险管理股份有限公司·气象风险与保险联合开放实验室,北京 100081
  • 收稿日期:2024-04-23 出版日期:2025-01-20 发布日期:2025-01-16
  • 作者简介:任义方,E-mail:renyifang2006@126.com
  • 基金资助:
    “十四五”国家重点研发计划项目“作物干旱高低温灾害预警预测与防控技术研发及集成示范”(2022YFD2300200);气象风险与保险联合开放实验室开放基金项目(2023F008)

Design and Evaluation on Meteorological Index Insurance Product of Rice High Temperature Heat Damage in Jiangsu Province

REN Yi-fang, CHEN Si-ning, ZHAO Yan-xia   

  1. 1.Jiangsu Climate Center, Nanjing 210008, China; 2. Chinese Academic of Meteorological Sciences & China Re-catastrophe Risk Management Joint Open Lab on Meteorological Risk and Insurance, Beijing 100081
  • Received:2024-04-23 Online:2025-01-20 Published:2025-01-16

摘要:

在准确评估农业生产风险基础上,结合保单需求信息,设计合理的保险产品并开展效果评价,是农业保险可持续发展的重要保障。基于历史气象资料和水稻生育期、产量资料,在构建江苏水稻高温热害气象指数以及开展保险风险区划的基础上,设定不同免赔额厘定纯费率,设计保险产品;利用指数评价、历史回溯和典型事件分析3种方法,实现水稻高温热害气象指数保险产品应用效果的综合评价。结果表明:不同免赔额下,江苏各县水稻高温热害纯保险费率呈西南高东北低分布特征,综合考虑农户参保积极性和承保水平,最终确定低风险区、中风险区、高风险区的免赔额分别为2.5%、2.5%和7.5%,对应保险纯费率分别为5.09%、5.27%和5.26%。从公司运营效能、损失赔付压力和农户生产风险转移水平、保障覆盖范围等角度来看,该指数保险产品设计较为合理。低风险区、中风险区、高风险区保险公司运营持续性指数分别为14%、37%和76%,农户生产保障维稳性指数分别为6%、9%和21%;高温热害事件平均赔付率分别为111%、122%和303%,典型高温热害年的全省平均赔付金额超过1800元·hm−2,且赔付县个数占比超过50%。本研究结果可为气象指数保险产品营运特性测评、保险产品设计方案优化和保险产品推广落地等提供参考。

关键词: 水稻, 高温热害, 指数保险, 产品设计, 效果评价

Abstract:

Based on an accurate assessment of the risks of agricultural production, together with the information required for insurance policies, the reasonable design and evaluation of insurance products is an important guarantee for the sustainable development of China's agricultural insurance policies. According to historical meteorological data as well as rice growth stage and yield data, based on the construction of meteorological index for rice high temperature disaster insurance, combined with comprehensive regionalization and assessment of insurance risk in Jiangsu province, by setting different deductible amounts, insurance pure rates were set and corresponding products were designed. In addition, a comprehensive evaluation of the effectiveness of the application of the rice heat damage meteorological index insurance product has been achieved by using three methods: index evaluation, historical retrospective analysis, and analysis of typical heat damage events. The study found that under different deductible amounts for yield reduction rates, the determined pure insurance rates for rice high-temperature heat damage in various counties in Jiangsu province exhibited a distribution pattern of "high in the southwest and low in the northeast". The deductibles were ultimately determined to be 2.5% for low-risk, 2.5% for medium-risk and 7.5% for high-risk areas, after taking into account the incentives for farmers to participate and the level of coverage. The corresponding pure insurance rates were determined to be 5.09%, 5.27% and 5.26% respectively. The designation of this index insurance product was relatively reasonable from the point of view of the company's operational efficiency, loss compensation pressure, level of risk transfer and coverage of the farmer's production. In low-risk, medium-risk, and high-risk areas, the operational sustainability indices of insurance companies were 14%, 37%, and 76%, respectively, while the stability indices of farmer production security were 6%, 9%, and 21%, respectively, and the average compensation rates for high-temperature heat damage events were 111%, 122% and 303%, respectively. In typical high-temperature heat damage years, the average compensation amount in Jiangsu province exceeded 1800 yuan·ha1, and the number of compensation counties accounted for more than 50%. The results of this study may serve as references for the evaluation of the operational characteristics of meteorological index insurance products, as well as for the adjustment of insurance product design schemes, and the promotion and implementation of insurance products. 

    

Key words: Rice, High temperature disaster, Index insurance, Product design, Effect evaluation