使用差异中的差异模型评估环境政策影响的整体方法

IF 14 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Jianglong Cui , Tiansen Zou , Hengyuan Zhao , Xiaodie Zhang , Guowen Li , Shengwang Gao , Chunjian Lv , Qiuheng Zhu , Lieyu Zhang , Haisheng Li
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引用次数: 0

摘要

环境保护政策通过制定明确的指令和标准,在促进可持续发展和维护生态平衡方面发挥着关键作用。然而,评价这些政策有效性的综合方法仍然不发达。在这里,我们采用差异中差异(DID)方法来评估epp的有效性,并将常驻工作(RW)政策的实施作为准自然实验。利用2016 - 2021年长江流域城市层面的面板数据,我们证明DID模型对节水政策对水质改善的影响进行了稳健评估。采用RW政策的城市与未采用政策的城市相比,水污染减少了0.0098。一项动态分析显示,随着时间的推移,水质逐渐改善,在经济落后的城市,效果更明显。此外,较高的政策评价分数与水质的较大改善相关。本研究强调了DID模型在量化环境保护计划有效性方面的效用,并为环境管理中的政策评估提供了一个可扩展的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A holistic approach to evaluating environmental policy impact using a difference-in-differences model

A holistic approach to evaluating environmental policy impact using a difference-in-differences model
Environmental protection policies (EPPs) play a pivotal role in advancing sustainable development and maintaining ecological balance by establishing clear directives and standards. However, a comprehensive methodology to evaluate the effectiveness of these policies remains underdeveloped. Here, we employ a difference-in-differences (DID) approach to assess the effectiveness of EPPs, using the implementation of the Resident Work (RW) policy as a quasi-natural experiment. Drawing on urban-level panel data from the Yangtze River Basin between 2016 and 2021, we demonstrate that the DID model robustly evaluates the RW policy's impact on water quality improvement. Cities that adopted the RW policy experienced a 0.0098 reduction in water pollution compared to non-adopting cities. A dynamic analysis revealed progressive water quality improvements over time, with stronger effects observed in economically disadvantaged cities. Furthermore, higher policy evaluation scores correlated with greater improvements in water quality. This study highlights the utility of the DID model in quantifying EPP effectiveness and offers a scalable framework for policy evaluation in environmental management.
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来源期刊
CiteScore
20.40
自引率
6.30%
发文量
11
审稿时长
18 days
期刊介绍: Environmental Science & Ecotechnology (ESE) is an international, open-access journal publishing original research in environmental science, engineering, ecotechnology, and related fields. Authors publishing in ESE can immediately, permanently, and freely share their work. They have license options and retain copyright. Published by Elsevier, ESE is co-organized by the Chinese Society for Environmental Sciences, Harbin Institute of Technology, and the Chinese Research Academy of Environmental Sciences, under the supervision of the China Association for Science and Technology.
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