How Differently Do Farms Respond to Agri- environmental Policies? A Probabilistic Machine-Learning Approach

被引：2

作者：

Coderoni, Silvia ^{[1
]}

Esposti, Roberto ^{[2
]}

Varacca, Alessandro ^{[3
]}

机构：

[1] Univ Teramo, Dept Biosci & Agrofood & Environm Technol, Teramo, Italy

[2] Univ Politecn Marche, Dept Econ & Social Sci, Ancona, Italy

[3] Univ Cattolica Sacro Cuore, Dept Econ & Social Sci DiSES, Piacenza, Italy

来源：

LAND ECONOMICS | 2024年 / 100卷 / 02期

关键词：

CAUSAL INFERENCE; SCHEMES; REGRESSION; IMPACT; CAP; PARTICIPATION; SENSITIVITY; REFORM;

D O I：

10.3368/le.100.2.060622-0043R1

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This study evaluates the extent to which farmers respond heterogeneously to the agri- environmental policies implemented in 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 implementing these policies. We also argue that the specific features of the CAP call for a careful implementation of these empirical techniques. (JEL Q15, Q51)

引用

页码：370 / 397

页数：28

共 28 条

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