Determinants of Farm Household Socio-Economic Vulnerability Induced by Climate Change in Maharashtra: Regression Tree Approach

IF 0.3 Q4 ECONOMICS
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引用次数: 0

Abstract

Climate change is a serious threat to the agrarian economy of Maharashtra due to persistent droughts, floods, irregular rainfall, etc. The present study was conducted during 2020–21 in three districts of Maharashtra (Parbhani, Sindhudurg and Ahmednagar) based on the extent of socio-economic vulnerability. The regression tree approach predicted the likelihood of socio-economic vulnerability in 180 randomly selected farm households. Findings indicated that improvement in visits of veterinary doctors, animals registered for feed camp, less consumption expenditure on food, and insuring farm animals resulted in a low vulnerability category. On the contrary, low access to electricity, low rainfall, and a higher number of unemployed members in a household resulted in a high level of socio-economic vulnerability. The study suggested focused policy efforts to improve the current socio-economic status of farm households by understanding the importance of closely associated variables affecting the degree of vulnerability to cope with climate change.
马哈拉施特拉邦气候变化农户社会经济脆弱性的决定因素:回归树方法
由于持续的干旱、洪水、不规则的降雨等,气候变化对马哈拉施特拉邦的农业经济构成了严重威胁。本研究是根据社会经济脆弱性的程度在2020-21年期间在马哈拉施特拉邦的三个地区(Parbhani, Sindhudurg和Ahmednagar)进行的。回归树法预测了随机选择的180个农户的社会经济脆弱性可能性。结果表明,兽医就诊次数、饲料营动物登记、食品消费支出减少以及农场动物保险等方面的改善导致了低脆弱性类别。相反,电力供应不足、降雨量少以及家庭失业人数较多导致了高度的社会经济脆弱性。该研究建议,通过了解影响易受气候变化影响程度的密切相关变量的重要性,集中政策努力改善农户目前的社会经济地位。
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CiteScore
0.50
自引率
50.00%
发文量
66
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