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Weather-indexed insurance: an elusive or achievable adaptation strategy to climate variability and change for smallholder farmers in Ethiopia

机译:天气指数保险:埃塞俄比亚小农户应对气候变化和变化的一种难以实现的适应策略

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Smallholder farmers in Ethiopia largely depend on rainfed agriculture and they are highly vulnerable to climate change with few options to offset them. Adaptation to climate change requires innovative measures to be shared and adopted. This paper analyses willingness to pay (WTP) for rainfall-based index insurance by farmers in Ethiopia to shield against the adverse consequences of climate change. Rainfall data for the study area were used to compute Standardized Precipitation Indices to serve as drought monitoring tool and trigger response actions. A bivariate probit model was estimated to scrutinize factors associated with WTP. The results indicate that smallholder farmers associate positive value to indexed insurance. Those farmers in agro-ecology with moisture stress, who are better educated, worried about risk associated with weather and those who have better access to credit are more likely to pay for weather-indexed insurance. However, households that have better non-farm income and remittance are less likely to pay for the indexed insurance. The mean WTP was found to be Birr 119.90 per year for a hectare of maize-cultivated land. However, a number of challenges remain to be addressed for effective index-based insurance, which includes reliable weather data, strong marketing channel and intermediary for the insurance products. Therefore, any intervention which aims at transferring weather-based risks through rainfall index-based insurance need to consider the above features to identify the early adopters of the product.
机译:埃塞俄比亚的小农主要依靠雨养农业,他们极易受到气候变化的影响,几乎没有办法抵消它们。适应气候变化需要分享和采用创新措施。本文分析了埃塞俄比亚农民基于降雨的指数保险的支付意愿(WTP),以防范气候变化的不利影响。研究区域的降雨数据用于计算标准化降水指数,以作为干旱监测工具并触发响应行动。估计采用双变量概率模型来检查与WTP相关的因素。结果表明,小农户将正值与指数保险相关联。那些水分生态胁迫的农业生态农业者,受过良好的教育,担心与天气有关的风险,而那些有更好信贷机会的农民更有可能为天气指数保险付费。但是,非农业收入和汇款较高的家庭购买指数化保险的可能性较小。发现每公顷玉米耕地的平均WTP为119.90比尔。然而,有效的基于指数的保险仍然面临许多挑战,包括可靠的天气数据,强大的营销渠道和保险产品的中介。因此,任何旨在通过基于雨量指数的保险转移基于天气的风险的干预措施都需要考虑上述特征,以识别该产品的早期采用者。

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