农场对农业环境政策的反应有何不同?一种概率机器学习方法

IF 1.3 4区经济学 Q3 ECONOMICS

Land Economics Pub Date : 2023-10-16 DOI:10.3368/le.100.2.060622-0043r1

Silvia Coderoni, Roberto Esposti, Alessandro Varacca

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引用次数: 0

摘要

摘要本研究评估了农民对欧洲共同农业政策(CAP)内实施的农业环境政策的异质反应程度。我们的识别和估计策略结合了理论驱动的研究设计，将所有可能的异质性来源与贝叶斯加性回归树算法形式化。2015-2018年意大利农场小组的结果表明，不同农场和农场集团对这些政策的反应可能存在很大差异。这表明在执行这些政策方面还有改进的余地。我们还认为，共同农业政策的具体特点要求仔细实施这些经验技术。

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

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.

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来源期刊

Land Economics Multiple-

CiteScore

2.60

自引率

0.00%

发文量

期刊介绍： Land Economics is dedicated to the study of land use, natural resources, public utilities, housing, and urban land issues. Established in 1925 by the renowned economist and founder of the American Economic Association, Richard T. Ely at the University of Wisconsin, Land Economics has consistently published innovative, conceptual, and empirical research of direct relevance to economists. Each issue brings the latest results in international applied research on such topics as transportation, energy, urban and rural land use, housing, environmental quality, public utilities, and natural resources.