Accountability audit of natural resource, government environmental regulation and pollution abatement: An empirical study based on difference-in-differences model

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成果类型：

期刊论文

作者：

Zhang, Yalian;Zhang, Qihang;Hu, Hexiao;Wang, Cao;Guo, Xin

通讯作者：

Zhang, YL

作者机构：

[Zhang, Yalian; Hu, Hexiao; Wang, Cao; Zhang, Qihang] Cent South Univ Forestry & Technol, Business Coll, Changsha 410004, Peoples R China.

[Guo, Xin] Univ West Scotland, Sch Business & Creat Ind, Glasgow, Scotland.

通讯机构：

[Zhang, YL ] C

Cent South Univ Forestry & Technol, Business Coll, Changsha 410004, Peoples R China.

语种：

英文

关键词：

Air quality;Industrial emissions;Natural resources;Sulfur dioxide;Accountability audit of natural resource;Difference-in-differences models;Empirical studies;Environmental governances;Environmental supervision;Local government;Local government environmental regulatory behavior;Pollution abatement;Pollution reduction;Regulatory behavior;Environmental regulations

期刊：

Journal of Cleaner Production

ISSN：

0959-6526

年：

2023

卷：

410

页码：

137205

DOI：

10.1016/j.jclepro.2023.137205

基金类别：

This research was funded by Natural Science Foundation of Hunan Province of China (Grant No. 2022JJ31021 ) and Philosophy and Social Science Foundation of Hunan Province of China (No. 22YBA121 ).

机构署名：

本校为第一且通讯机构

院系归属：

商学院

摘要：

For many years, the lack of environmental supervision by local governments has been a challenge for China's environmental governance. In the process of promoting green development, the system of accountability audit of natural resource (AANR for short), which has a supervisory role, is an innovative policy attempt with Chinese characteristics, and pollution emissions are a key factor in assessing the effectiveness of the policy. Based on 2012–2017 panel data from 30 provincial regions, this research empirically investigates the effectiveness o...

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Accountability audit of natural resource, government environmental regulation and pollution abatement: An empirical study based on difference-in-differences model

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