The design of the drought weather index insurance of summer corn in Langfang city ——A case study of Bazhou city

doi:10.14088/j.cnki.issn0439-8114.2021.10.010

Abstract

Abstract: In order to establish the drought weather index insurance model of summer corn, the daily meteorological data from 1980 to 2018 and the summer corn output data from 1993 to 2018 at the Bazhou city agricultural meteorological observation station in Langfang city were used to research the relationship between summer corn and drought. Based on the water deficit rate, a summer corn drought weather index was constructed, and the relationship between summer maize drought weather index and relative weather yield was analyzed. The summer corn damage model was constructed, and the summer corn drought insurance compensation standard was proposed. The net drought insurance rate was determined and the summer corn drought weather index insurance product was designed. The results showed that the drought in the jointing period to milk maturity period had the greatest impact on summer corn yield. The drought meteorological index of jointing-milk maturity period and full growth period were selected for disaster damage analysis, the yield reduction rate model was constructed, and summer corn was divided into four gradesLight drought, moderate drought, heavy drought and severe drought. The compensation standard of summer corn drought insurance was proposed. when the drought weather index was greater than 40%, the claim was started. In the jointing period to milk maturity, the net insurance premium rate was 5.6%, and the corresponding premiums was 357.6 yuan/hm². In the whole fertility period, the net insurance premium rate was 6.5%, the corresponding premiums was 395.7 yuan/hm².

Key words: summer corn, drought, weather index, insurance rate

CLC Number:

S423
S513

HOU Qi-qi, YANG Shuai, GENG Xue-ying, GAO Yu-jun. The design of the drought weather index insurance of summer corn in Langfang city ——A case study of Bazhou city[J]. HUBEI AGRICULTURAL SCIENCES, 2021, 60(10): 55-59.

References

[1] 廊坊市统计局.廊坊市2018年国民经济和社会发展统计公报[EB/OL].2019-08-15.http://www.lf.gov.cn/Item/87389.aspx.
[2] 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.
[3] SHERRICK B J,ZANINI F C,SCHNITKEY G D,et al.Crop insurance valuation under alternative yield distributions[J].American journal of agricultural economics,2004,86(2):406-419.
[4] BARNETT B J,MAHUL O.Weather index insurance for agriculture and rural areas in lower-income countries[J].American journal of agricultural economics,2007,89(5):1241-1247.
[5] 娄伟平,吴利红,倪虎平,等.柑橘冻害保险气象理赔指数设计[J].中国农业科学,2009,42(4):1339-1347.
[6] 娄伟平,吴利红,邱新发,等.柑桔农业气象灾害风险评估及农业保险产品设计[J].自然资源学报,2009,24(6):1330-1340.
[7] 娄伟平,吴利红,姚益平.水稻暴雨灾害保险气象理赔指数设计[J].中国农业科学,2010,43(3):632-639.
[8] 任义方,赵艳霞,王春乙.河南省冬小麦干旱保险风险评估与区划[J].应用气象学报,2011,22(5):537-548.
[9] 任义方,赵艳霞,张旭晖,等.江苏水稻高温热害气象指数保险风险综合区划[J].中国农业气象,2019,40(6):391-401.
[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] 刘亚静. 河北省玉米指数保险费率厘定研究[D].河北保定:河北农业大学,2013.
[12] 高桂芹,王猛,费晓臣,等.迁西县板栗气象干旱指数保险产品设计[J].现代农业科技,2017(2):183-185.
[13] 曲思邈,王冬妮,郭春明,等.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.
[14] ALLEN R G,PEREIRA L S, RAES D, et al.Crop evapotranspiration-guidelines for computing crop water requirement[R].Rome,Italy: Food and Agriculture Organization of the United Nations, Irrigation and Drainage,1998.56.
[15] 曹永强,王怡涵,冯兴兴,等.河北省夏玉米不同生育期干旱时空分析[J].华北水利水电大学学报(自然科学版),2020,41(4):1-9.
[16] 房世波. 分离趋势产量和气候产量的方法探讨[J].自然灾害学报,2011,20(6):13-18.
[17] 曹雯,成林,杨太明,等.河南省冬小麦拔节-抽穗期干旱天气指数保险研究[J].气象,2019,45(2):274-281.
[18] 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.
[19] 刘晓英,周鹏,闫利霞,等.廊坊地区夏玉米气候适宜度评价分析[J].中国农学通报,2016,32(6):151-159.
[20] 姚小英,姚玉璧,袁佰顺,等.玉米干旱气象保险指数研究——以陇东南为例[J].中国农学通报,2018,34(3): 140-144.