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Climate change adaptation and productive efficiency of subsistence farming: A bias-corrected panel data stochastic frontier approach
Journal of Agricultural Economics ( IF 3.4 ) Pub Date : 2022-02-05 , DOI: 10.1111/1477-9552.12479
Fissha Asmare 1 , Jūratė Jaraitė 1, 2 , Andrius Kažukauskas 1
Affiliation  

We explore the impact of climate change adaptation on the technical efficiency of Ethiopian farmers using panel data collected from 6820 farm plots. We employ Green's (2010) stochastic frontier approach and propensity score matching to address selection bias. Our results reveal that climate change adaptation improves the efficiency of maize, wheat and barley production. We also show that failure to account for selection bias underestimates the average efficiency level. Our findings imply that the expansion of climate change adaptation at larger scales will provide a double benefit by curbing climate-related risks and increasing the efficiency of farmers. Moreover, increasing credit access and introducing mechanisms that allow farmers to get enough water during the main growing season will enhance the efficiency of subsistence farmers.

中文翻译:

自给农业的气候变化适应和生产效率:偏差校正面板数据随机前沿方法

我们使用从 6820 个农场地块收集的面板数据探索气候变化适应对埃塞俄比亚农民技术效率的影响。我们采用 Green (2010) 的随机前沿方法和倾向得分匹配来解决选择偏差。我们的研究结果表明,气候变化适应提高了玉米、小麦和大麦的生产效率。我们还表明,未能考虑选择偏差会低估平均效率水平。我们的研究结果表明,更大规模地扩大气候变化适应将通过遏制气候相关风险和提高农民的效率来提供双重收益。此外,增加信贷渠道并引入允许农民在主要生长季节获得足够水的机制将提高自给农民的效率。
更新日期:2022-02-05
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