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What Is the Mechanism of Government Green Development Behavior Considering Multi-Agent Interaction? A Meta-Analysis

Worsening environmental problems have created more and more challenges for green development, and the government is often seen as an important guide in turning this situation around. A government generally enacts green development through green development behavior, but previous research has not rev...

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Detalles Bibliográficos
Autores principales: Li, Xingwei, Dai, Jiachi, Zhu, Xiaowen, He, Jinrong, Li, Jingru, Liu, Xiang, Huang, Yicheng, Shen, Qiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319942/
https://www.ncbi.nlm.nih.gov/pubmed/35886108
http://dx.doi.org/10.3390/ijerph19148263
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author Li, Xingwei
Dai, Jiachi
Zhu, Xiaowen
He, Jinrong
Li, Jingru
Liu, Xiang
Huang, Yicheng
Shen, Qiong
author_facet Li, Xingwei
Dai, Jiachi
Zhu, Xiaowen
He, Jinrong
Li, Jingru
Liu, Xiang
Huang, Yicheng
Shen, Qiong
author_sort Li, Xingwei
collection PubMed
description Worsening environmental problems have created more and more challenges for green development, and the government is often seen as an important guide in turning this situation around. A government generally enacts green development through green development behavior, but previous research has not revealed the mechanism of this behavior. In addition, the multi-agent interaction between the government and green development behavior also needs to be explored. Based on an integrated theoretical model, the authors of this study adopted a meta-analysis method to analyze 18 high-quality published pieces from 6 mainstream databases and described the mechanism of government green development behavior in exploring and thinking about multi-agent interactions. In addition, the authors of this study explored differences in the roles of central and local government green development behaviors and the moderating role of regional heterogeneity. The research results showed that: (1) Enterprise economic behavior, enterprise environmental behavior, enterprise social behavior, and public participation are all significantly positively affected by government green development behavior; (2) local government green development actions have stronger effects than central government actions; (3) regional heterogeneity moderates the effect of government green development behavior. Furthermore, the authors of this study propose relevant countermeasures and suggestions from the government’s point of view. This research provides a theoretical and practical reference for governments to better improve their environmental systems and environmental supervision.
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spelling pubmed-93199422022-07-27 What Is the Mechanism of Government Green Development Behavior Considering Multi-Agent Interaction? A Meta-Analysis Li, Xingwei Dai, Jiachi Zhu, Xiaowen He, Jinrong Li, Jingru Liu, Xiang Huang, Yicheng Shen, Qiong Int J Environ Res Public Health Article Worsening environmental problems have created more and more challenges for green development, and the government is often seen as an important guide in turning this situation around. A government generally enacts green development through green development behavior, but previous research has not revealed the mechanism of this behavior. In addition, the multi-agent interaction between the government and green development behavior also needs to be explored. Based on an integrated theoretical model, the authors of this study adopted a meta-analysis method to analyze 18 high-quality published pieces from 6 mainstream databases and described the mechanism of government green development behavior in exploring and thinking about multi-agent interactions. In addition, the authors of this study explored differences in the roles of central and local government green development behaviors and the moderating role of regional heterogeneity. The research results showed that: (1) Enterprise economic behavior, enterprise environmental behavior, enterprise social behavior, and public participation are all significantly positively affected by government green development behavior; (2) local government green development actions have stronger effects than central government actions; (3) regional heterogeneity moderates the effect of government green development behavior. Furthermore, the authors of this study propose relevant countermeasures and suggestions from the government’s point of view. This research provides a theoretical and practical reference for governments to better improve their environmental systems and environmental supervision. MDPI 2022-07-06 /pmc/articles/PMC9319942/ /pubmed/35886108 http://dx.doi.org/10.3390/ijerph19148263 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Xingwei
Dai, Jiachi
Zhu, Xiaowen
He, Jinrong
Li, Jingru
Liu, Xiang
Huang, Yicheng
Shen, Qiong
What Is the Mechanism of Government Green Development Behavior Considering Multi-Agent Interaction? A Meta-Analysis
title What Is the Mechanism of Government Green Development Behavior Considering Multi-Agent Interaction? A Meta-Analysis
title_full What Is the Mechanism of Government Green Development Behavior Considering Multi-Agent Interaction? A Meta-Analysis
title_fullStr What Is the Mechanism of Government Green Development Behavior Considering Multi-Agent Interaction? A Meta-Analysis
title_full_unstemmed What Is the Mechanism of Government Green Development Behavior Considering Multi-Agent Interaction? A Meta-Analysis
title_short What Is the Mechanism of Government Green Development Behavior Considering Multi-Agent Interaction? A Meta-Analysis
title_sort what is the mechanism of government green development behavior considering multi-agent interaction? a meta-analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319942/
https://www.ncbi.nlm.nih.gov/pubmed/35886108
http://dx.doi.org/10.3390/ijerph19148263
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