索引(排版)
分位数回归
归一化差异植被指数
风险管理
基差风险
普通最小二乘法
农作物保险
环境科学
稀缺
农业
产量(工程)
气候变化
计量经济学
精算学
气候学
经济
计算机科学
地理
生态学
考古
微观经济学
资本资产定价模型
管理
冶金
材料科学
万维网
地质学
生物
作者
Mukhtar Jibril Abdi,Nurfarhana Raffar,Zed Zulkafli,Khairudin Nurulhuda,Balqis M. Rehan,Farrah Melissa Muharam,Nor Ain Khosim,Fredolin Tangang
标识
DOI:10.1016/j.ijdrr.2021.102653
摘要
In this study we systematically reviewed the available literature on weather index insurance design between 2001 and 2020. In recent years, there has been a marked increase in ex-ante studies of index-based insurance as a financial risk management tool for agricultural risks. New and improved indices have emerged, and new methods for quantifying the yield-index relationship have been explored to minimise basis risk in contract design. Our review indicated that rainfall-followed by temperature-based indices were most prevalent, while indices based on droughts and floods, vegetation, soil moisture, humidity, and sunshine hours were underrepresented despite their demonstrated potentials. Ordinary least square-based correlation and linear regression methods dominated yield-index modelling, while methods addressing extremes such as quantile regression and copulas have increased prominence in developed countries recently. We highlighted several new research trends to guide future research studies, in particular, the use of remote sensing data and hydrological and crop modelling to address data scarcity, geographical basis risk, and climate change.
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