Evidence map›Paper›PMID 35886108›Full record

SynthesisInternational journal of environmental research and public health2022

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

Xingwei Li, Jiachi Dai, Xiaowen Zhu, Jinrong He, Jingru Li, Xiang Liu, Yicheng Huang, Qiong Shen

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Mechanism of Enterprise Green Innovation Behavior Considering Coevolution Theory.International journal of environmental research and public health · 2022
    Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Xingwei LiCollege of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.ORCID 0000-0002-8853-356X
Jiachi DaiCollege of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.ORCID 0000-0001-8448-7191
Xiaowen ZhuSchool of Management, Jiangsu University, Zhenjiang 212013, China.
Jinrong HeCollege of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.
Jingru LiCollege of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.ORCID 0000-0003-3394-8714
Xiang LiuCollege of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.
Yicheng HuangCollege of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.ORCID 0000-0002-0293-6844
Qiong ShenCollege of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.ORCID 0000-0002-0465-981X
Sichuan Agricultural University · CNJiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

GovernmentSustainable DevelopmentChinaCommunity ParticipationHumansLocal GovernmentModels, Theoreticalenvironmental regulationgovernmentgovernment supervisiongreen developmentmeta-analysismulti-agent

Identifiers

PMID35886108
PMCPMC9319942
OpenAlexW4283836037

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.