中国农业气象 ›› 2025, Vol. 46 ›› Issue (01): 101-111.doi: 10.3969/j.issn.1000-6362.2025.01.010

• 农业气象保险专刊 • 上一篇    下一篇

湖南油茶冻害天气指数保险构建:以辰溪县为例

黎跃勇,江涤非,郭海峰,郭田韵   

  1. 1.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;2.湖南省气象服务中心,长沙 410118;3.气象防灾减灾湖南省重点实验室,长沙410118
  • 收稿日期:2024-01-29 出版日期:2025-01-20 发布日期:2025-01-17
  • 作者简介:黎跃勇,E-mail:302907731@qq.com
  • 基金资助:
    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气象风险与保险联合开放实验室开放基金项目(2023F007);中国气象局气象软科学课题(2024MSXM08);湖南省气象局重点科技项目(QXKJ21A006)

Construction of Hunan Camellia Oleifera’s Insurance for Freezing Injury Weather Index:Chenxi County as An Example

LI Yue-yong, JIANG Di-fei, GUO Hai-feng, GUO Tian-yun   

  1. 1.China Academy of Meteorological Sciences&China Re-catastrophe Risk Management Company Ltd·Joint Open Lab on Meteorological Risk and Insurance,Beijing100081,China; 2. Hunan Meteorological Service Center, Changsha 410118; 3. Hunan Provincial Key Laboratory of Meteorological Disaster Prevention and Mitigation, Changsha 410118
  • Received:2024-01-29 Online:2025-01-20 Published:2025-01-17

摘要:

天气指数保险因其信息透明,赔付便捷,已成为农业气象灾害风险转移的重要手段之一。本研究以湖南辰溪县为例,基于2009-2020年逐日最低气温数据和油茶产量数据,选取油茶开花-幼果形成期(11月-翌年4月)极端最低气温Tc和<0℃负有效积温TT,确定油茶冻害指数并构建指数-灾损模型。采用Anderson-Darling检验获得油茶冻害风险的最优概率分布模型,确定不同减产率对应的纯费率以及赔付标准,利用2022年2月中国太平洋财产保险股份有限公司湖南分公司实际赔付情况进行验证。结果表明:油茶开花-幼果形成期11月-翌年4月<0℃负有效积温TT相较于Tc与油茶减产率的相关性更高,用于表征辰溪县油茶冻害气象指数;油茶冻害风险分布符合位置参数为2.537,尺度参数为0.323,阈值参数为−1.8053参数对数Logistic分布;当赔付触发条件<0℃负有效积温为2.1~20.8℃·d时,纯费率厘定为0.85%~7.85%,各级减产率对应的赔付标准为3750~48750元·hm2;计算后2022年2月辰溪县各油茶主产乡镇平均赔付额(5000·hm2)与中国太平洋财产保险股份有限公司湖南分公司实际赔付额(4954·hm2)基本吻合。在湖南油茶开花-幼果形成期冻害对油茶产量影响基础上设计的油茶冻害天气指数保险,可为湖南建立和完善油茶保险体系提供参考。

关键词: 油茶, 低温冻害, 天气指数保险, 纯费率厘定

Abstract:

Weather index insurance has become one of the important methodsfor agricultural weather risk transfer due to its transparent information and convenient claims process. In this study, Chenxi county in Hunan wasselectedas an example, based on the daily minimum temperature data and Camellia oleifera(C.oleifera) production data from 2009 to 2020,the extreme minimum temperature (Tc) and the negative effective accumulated temperature below 0℃(TT) were selected during the flowering and young fruit formation period of C.oleifera (from November to April of the next year)to determine the freezing injury index of C.oleifera and construct the index-disaster model. The Anderson-Darling test was used to obtain the optimal probability distribution model for the risk of C.oleifera freezing injury, and to determine the pure premium rate and compensation standard corresponding to different yield reduction rates. The actual compensation data from China Pacific Property Insurance Co.,Ltd. Hunan Branch (CPIC) in February 2022 was used for validation. The results showed that during the flowering and young fruit formation period of C. oleifera, TT had a higher correlation with the yield reduction rate than Tc, and was used to characterize the meteorological index for freezing injury to C.oleifera in Chenxi county. The risk distribution of C.oleifera freezing injury conformed to the 3-parameter logarithmic logistic distribution, with the position parameter of 2.537, scaleparameter of 0.323, and threshold parameter of −1.805. When the compensation trigger condition TT was 2.1-20.8℃·d, the net premium rate was determined to be 0.85%-7.85%, and the compensation standard corresponding to the production reduction rate at all levels was 3750-48750yuan·ha1. After calculation, the average compensation amount for the major C.oleifera producing towns in Chenxi county in February 2022 (5000yuan·ha1) was basically consistent with the actual compensation amount of CPIC (4954yuan·ha1). Based on the influence of freezing injury during the flowering and young fruit formation periodon the yield of C.oleifera in Hunan, a weather index insurance scheme for C.oleifera freezing injuries has been designed, which can serve as a reference for Hunan to establish and improve its insurance system for C.oleifera.

Key words: Camelliaoleifera, Freezing injury, Weather index insurance, Pure rate determination