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农学学报 ›› 2026, Vol. 16 ›› Issue (4): 94-100.doi: 10.11923/j.issn.2095-4050.cjas2025-0020

• 农业信息 农业气象 • 上一篇    下一篇

杨梅气象指数保险的现状、存在问题及优化路径研究

黄新1(), 廖必军2, 陈鑫磊3, 仲鹏志1, 钱燕珍4()   

  1. 1 慈溪市气象局, 浙江慈溪 315300
    2 浙江蓝天气象科技有限公司, 杭州 310017
    3 中国太平洋财产保险股份有限公司宁波分公司, 浙江宁波 315100
    4 宁波市气象局, 浙江宁波 315012
  • 收稿日期:2025-02-08 修回日期:2025-12-30 出版日期:2026-04-15 发布日期:2026-04-15
  • 通讯作者:
    钱燕珍,女,1968年出生,正研级高工,本科,主要从事灾害性天气预报服务技术方面的研究。通信地址:315012 浙江省宁波市海曙区气象路118号 宁波市气象局,Tel:0574-89181796,E-mail:
  • 作者简介:

    黄新,男,1968年出生,高级工程师,本科,主要从事气象服务与农业气象方面的研究。通信地址:315300 浙江省慈溪市古塘街道明州路818号 慈溪市气象局,Tel:0574-63033750,E-mail:

  • 基金资助:
    宁波市气象科技计划项目“杨梅采摘期多因子气象指数保险产品研发”(NBQX2023016B)

Study on Current Situation, Existing Issues and Optimization Path of Weather Index Insurance for Myrica rubra

HUANG Xin1(), LIAO Bijun2, CHEN Xinlei3, ZHONG Pengzhi1, QIAN Yanzhen4()   

  1. 1 Cixi Meteorological Bureau, Cixi, Zhejiang 315300
    2 Zhejiang Blue Sky Meteorological Technology equipment Co. LTD, Hangzhou 310017
    3 China Pacific Property Insurance Co., Ltd., Ningbo Branch, Ningbo, Zhejiang 315100
    4 Ningbo Meteorological Bureau, Ningbo, Zhejiang 315012
  • Received:2025-02-08 Revised:2025-12-30 Online:2026-04-15 Published:2026-04-15

摘要:

当前杨梅气象指数保险存在站点布局不匹配、灾损数据支撑不足、产品设计单一等问题,制约了其对杨梅产业的风险保障效能。为提升杨梅气象指数保险服务水平,增强产业抵御自然风险能力。本研究基于杨梅采摘期降雨气象指数保险多年实践及反馈意见,结合采摘期天气条件与杨梅落果关系的长期同步观测,系统剖析现有保险产品的短板。结果表明,现行杨梅气象指数保险存在5个问题:一是符合代表性、比较性、准确性要求的,与杨梅园所处环境相匹配的区域自动气象站布局有较大欠缺;二是其产品设计缺乏致灾气象因子对应的实际灾损数据支撑;三是单因子降雨气象指数保险不能完整反映杨梅采摘期气象灾害的特征;四是统一费率可能导致保费与风险不相匹配、统一保险责任期间可能导致较大基差风险;五是现行杨梅采摘期降雨气象指数保险产品赔付比例设置过高。提出如下优化路径:一是加快基于精细化风险区划的杨梅“骨干”区域自动气象站的建设和布局;二是加强产品研发合作,开展杨梅致灾气象因子与对应灾损的试验研究和数据积累;三是开展多因子气象指数保险产品研发;四是进行产品的差异化设计;五是兼顾政府、保险公司和梅农的需求和利益,科学设置产品赔付比例。后续可进一步完善巨灾补偿机制,推动杨梅气象指数保险高质量可持续发展,为特色农产品气象指数保险研发提供参考。

关键词: 杨梅, 气象指数, 保险, 基差风险, 优化, 致灾因子, 观测

Abstract:

The aim of this study is to further improve the service level of weather index insurance for Myrica rubra and enhance the ability of the Myrica rubra industry to withstand natural risks. Based on the years of practice and feedback collection of rainfall meteorological index insurance during the picking period of Myrica rubra, and through continuous attention and multi-year synchronous observation of the relationship between weather conditions during the picking period and Myrica rubra fruit drop, the shortcomings of existing insurance products were systematic analyzed. The results show that there are five problems as follows: (1) There is a significant shortfall in the layout of mesoscale automatic weather stations that meet the requirements of representativeness, comparability and accuracy, and match the environment of Myrica rubra orchards; (2) the product design lacks the actual disaster data support corresponding to the disaster-causing meteorological factors; (3) single-factor rainfall weather index insurance cannot fully reflect the characteristics of meteorological disasters during the Myrica rubra harvesting period; (4) the uniform rate may lead to mismatch between premium and risk, and the uniform insurance liability period may lead to significant basis risk; (5) the current compensation ratio for rainfall weather index insurance products during the Myrica rubra harvesting period is too high. The following optimization paths are proposed: It is important to accelerate the construction and layout of automatic weather stations in the key areas for Myrica rubra based on refined risk zoning; to strengthen product research and development cooperation, and carry out experimental research and data accumulation of meteorological factors and corresponding disaster losses caused by Myrica rubra; to determine the quantitative relationship and trigger value between disaster causing meteorological factors and disaster damage through experimental research, and carry out the research of multi-factor meteorological index insurance products; to consider the differences in products; to balance the goals, needs and interests of the government, insurance companies and farmers, and scientifically set the compensation ratios for the products. Subsequently, the catastrophe compensation mechanism can be further improved to promote the high-quality and sustainable development of the meteorological index insurance for Myrica rubra, and provide a reference for the study of meteorological index insurance for characteristic agricultural products.

Key words: Myrica rubra, weather index, insurance, basis risk, optimization, hazard factor, observation