玉米干旱天气指数保险产品设计——以吉林省为例

doi:10.3969/j.issn.1673-503X.2018.02.012

气象与环境学报 ›› 2018, Vol. 34 ›› Issue (2): 92-99.doi: 10.3969/j.issn.1673-503X.2018.02.012

玉米干旱天气指数保险产品设计——以吉林省为例

曲思邈¹, 王冬妮¹, 郭春明¹, 杨旭^1,2, 王美玉³, 邱美娟¹

1. 吉林省气象科学研究所, 吉林长春 130062;
2. 中国人民解放军理工大学气象海洋学院, 江苏南京 211101;
3. 吉林省气象局, 吉林长春 130062

收稿日期:2017-03-20 修回日期:2017-06-07 出版日期:2018-04-30 发布日期:2018-04-30
作者简介:曲思邈,男,1986年生,工程师,主要从事农业气象研究,E-mail:querge@163.com。
基金资助:
吉林省气象局青年基金课题（2015017）和公益性行业（气象）科研专项（GYHY201206018）共同资助。

Insurance product design based on maize drought weather index: A case study in Jilin province

QU Si-miao¹, WANG Dong-ni¹, GUO Chun-ming¹, YANG Xu^1,2, WANG Mei-yu³, QIU Mei-juan¹

1. Institute of Meteorological Science in Jilin Province, Changchun 130062, China;
2. Institute of Meteorology and Oceanography, People's Liberation Army University of Science and Technology, Nanjing 211101, China;
3. Jilin Provincial Meteorological Service, Changchun 130062, China

Received:2017-03-20 Revised:2017-06-07 Online:2018-04-30 Published:2018-04-30

摘要/Abstract

摘要： 设计吉林省玉米干旱天气指数保险产品，是对吉林省传统农业保险的有益补充，对转移吉林省干旱风险和保障吉林省农业经济健康发展具有重大意义。利用1981-2014年吉林省玉米发育期观测资料、气象观测资料及玉米产量资料，采用基于Weibull分布模型的参数化产量风险分析方法，厘定纯保费率并分析其空间分布，建立吉林省玉米干旱保险天气指数模型，同时设计了基于不同免赔额的保险产品。结果表明：吉林省玉米单产风险分布和纯保费率可以采用Weibull分布模型进行有效模拟及厘定；纯保费率的高值区主要分布在吉林省西部地区，适合高免赔额费率；纯保费率的低值区主要分布在吉林省东南部地区，适合低免赔额费率，实现了保险产品的地区差异性，与吉林省玉米生产的实际情况符合。基于不同免赔额设计吉林省玉米干旱天气指数保险产品，当免赔额分别为10%、15%和20%时，对应启动赔付的玉米干旱天气指数Id分别为14.25、30.15和46.06。

关键词: 玉米干旱, 天气指数, Weibull模型

Abstract: The insurance product design based on maize drought weather index is a beneficial supplement to tradi-tional agriculture insurance,which is important for transferring drought risk and ensuring the development of Jilin province's economy.In order to establish the drought weather index insurance model of maize,the long sequential developmental phase data of maize,meteorological data and maize yield data from 1981 to 2014 were collected.Then pricing pure premium rate determined by the parametric yield risk analysis method based on Weibull distribu-tion model and its spatial distribution were analyzed in this paper.Finally,maize drought weather index model was established and the insurance product based on different deductible excesses was designed.The results show that maize yield risk distribution in Jilin province could be simulated using the Weibull distribution model.Besides,the Weibull distribution model could also be used for pricing pure premium rate.The western of Jilin province is the region with high pure premium rate and is suitable for the high deductible rate.Whereas,the southeast of Jilin Province is the region with low pure premium rate,and is suitable for the low deductible rate.The pricing of the maize drought pure premium rate is consistent with the reality of maize planting in Jilin province,which could reflect the regional differences in Jilin province.The insurance product based on maize drought weather index is designed with the different deductible excess rate.The compensation starting values of weather index are 14.25,30.15 and 46.06 when the deductible rates are 10%,15%,and 20%,respectively.

Key words: Maize drought, Weather index, Weibull model

中图分类号:

P49
S513

曲思邈, 王冬妮, 郭春明, 杨旭, 王美玉, 邱美娟. 玉米干旱天气指数保险产品设计——以吉林省为例[J]. 气象与环境学报, 2018, 34(2): 92-99.

QU Si-miao, WANG Dong-ni, GUO Chun-ming, YANG Xu, WANG Mei-yu, QIU Mei-juan. Insurance product design based on maize drought weather index: A case study in Jilin province[J]. Journal of Meteorology and Environment, 2018, 34(2): 92-99.

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参考文献

[1] 刘迎春,石志国,张永锋,等.吉林省玉米秸秆资源化利用现状与途径[J].现代农业科技,2012(24):228,230.
[2] 张海娜,李晶,吕志红,等.东北地区农业气象灾害定量评估[J].气象与环境学报,2011,27(3):24-28.
[3] 马建勇,许吟隆,潘婕.基于SPI与相对湿润度指数的1961-2009年东北地区5-9月干旱趋势分析[J].气象与环境学报,2012,28(3):90-95.
[4] 袭祝香,刘实,赵泽会.吉林省干旱损失评估方法研究[J].吉林气象,2012(4):2-4,46.
[5] 中保网.中华联合财险-玉米干旱气象指数保险(适用于北京市)[EB/OL].(2015-12-18)[2017-06-07].http://www.sinoins.com/zt/2015-12/18/content_178604.htm.
[6] 陈盛伟,张宪省.农业气象干旱指数保险产品设计的理论框架[J].农业技术经济,2014(12):32-38.
[7] 曲思邈,王冬妮,郭春明,等.发挥农业天气指数保险优势切实提高农业生产保障水平[J].吉林农业,2016(17):50-51.
[8] 任义方.农业气象指数保险方法研究——以河南冬小麦干旱为例[D].北京:中国气象科学研究院,2011.
[9] 吴利红,娄伟平,姚益平,等.水稻农业气象指数保险产品设计——以浙江省为例[J].中国农业科学,2010,43(23):4942-4950.
[10] 杨太明,刘布春,孙喜波,等.安徽省冬小麦种植保险天气指数设计与应用[J].中国农业气象,2013,34(2):229-235.
[11] 苏永秀,李政,吕厚荃.水分盈亏指数及其在农业干旱监测中的应用[J].气象科技,2008,36(5):592-595.
[12] 徐英,李曼华,李辉,等.不同发育期的干旱对华北地区夏玉米生长发育及产量的影响[J].气象与环境学报,2017,33(1):108-112.
[13] Allen R G,Pereira L S,Raes D,et al.Crop evapotrans-piration-guidelines for computing crop water require-ment.Irrigation and drainage paper 56[M].Rome:Food and Agriculture Organization of the United Nations,1998:56.
[14] 刘志明,晏明,沈柏竹.吉林省中西部地区玉米水分盈亏计算与增产潜力的分析研究[J].农业系统科学与综合研究,1998,14(4):269-272.
[15] Zeng L X.Weather derivatives and weather insurance:Concept,application,and analysis[J].Bulletin of the A-merican Meteorological Society,2000,81(9):2075-2082.
[16] 张忠诚.参数极大似然估计的几点标记[J].高等函数学报:自然科学版,2006,20(2):22-23.
[17] Ker A P,Goodwin B K.Nonparametric estimation of crop insurance rates revisited[J].American Journal of Agricultural Economics,2000,82(5):463-478.
[18] 隋丽莉,袁连升.吉林省粮食主产区种植业保险调查研究[J].吉林省经济管理干部学院学报,2014,28(2):20-23.
[19] 张继权,李宁.主要气象灾害风险评价与管理的数量化方法及其应用[M].北京:北京师范大学出版社,2007.
[20] 杨太明,许莹,孙喜波,等.安徽省夏玉米干旱天气指数保险产品设计及应用[J].气象,2016,42(4):450-455.
[21] 邓聚龙.灰色系统与农业[J].山西农业科学,1985(6):29-33.
[22] 张京红,黄海静,王春乙,等.基于产量风险的海南荔枝寒害保险费率研究[J].热带气象学报,2015,31(6):862-868.

玉米干旱天气指数保险产品设计——以吉林省为例

Insurance product design based on maize drought weather index: A case study in Jilin province

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