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Analysis of vulnerability and resilience to climate change induced shocks in North Shewa, Ethiopia

机译:埃塞俄比亚北谢瓦对气候变化诱发的冲击的脆弱性和适应力分析

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This article analyzes the vulnerability and resilience levels of farm households in North Shewa, Ethiopia, using a survey of 452 households. Agro ecological based classification was done to analyze vulnerability to climate change induced shocks. Integrated vulnerability analysis approach was employed to develop indexes for socioeconomic and biophysical indicators. The indicators have been classified into adaptive capacity, exposure and sensitivity to climate change impact. Then Principal Component Analysis was used to compute vulnerability index of each agro ecological zone. The result shows that farmers living in the highland areas were very much vulnerable to natural shocks compared to those living in the lowland area. In order to identify and analyse the determinants of resilience to climate change impacts, ordered probit model was used. Households were classified into three categories based on the time they take to bounce back after natural shocks. The model outputs indicate that farmers with better investment on natural resource management, access to market, better social network, access to credit, preparedness, saving liquid assets, access to irrigation and better level of education exhibited greater level of resilience during and after climate change induced shocks.
机译:本文使用对452户家庭的调查,分析了埃塞俄比亚北谢瓦的农户的脆弱性和恢复力水平。进行了基于农业生态的分类,以分析易受气候变化引发的冲击的脆弱性。综合脆弱性分析方法被用来制定社会经济和生物物理指标的指标。这些指标分为适应能力,对气候变化影响的暴露程度和敏感性。然后运用主成分分析法计算了每个农业生态区的脆弱性指数。结果表明,与低地地区的农民相比,高地地区的农民极易遭受自然冲击。为了确定和分析抵御气候变化影响的决定因素,使用了有序概率模型。根据自然冲击后反弹所需的时间,将家庭分为三类。模型输出表明,在自然资源管理,市场准入,更好的社会网络,信贷,备灾,节省流动资产,灌溉和教育水平更高的方面有更好的投资的农民在气候变化期间和之后表现出了更高的应变能力诱发的冲击。

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