How Differently Do Farms Respond to Agri-environmental Policies? A Probabilistic Machine-Learning Approach
Land Economics(2023)
摘要
Abstract
This study evaluates to what extent farmers respond heterogeneously to the agri-environmental policies implemented within the European Common Agricultural Policy (CAP). Our identification and estimation strategy combines a theory-driven research design formalizing all possible sources of heterogeneity with a Bayesian additive regression trees algorithm. Results from a 2015-2018 panel of Italian farms show that the responsiveness to these policies may differ substantially across farms and farm groups. This suggests room for improvement in the implementation of these policies. We also argue that the specific features of the CAP call for a careful implementation of these empirical techniques.查看译文
关键词
farms,machine-learning machine-learning,agri-environmental
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要