Evidence map›Paper›PMID 37887463›Full record

ArticleBehavioral sciences (Basel, Switzerland)2023

Explaining the Green Development Behavior of Local Governments for Sustainable Development: Evidence from China.

Jianguo Du, Xiaowen Zhu, Xingwei Li, Enes Ünal, Philip Longhurst

Open access · goldAbstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.7field-weighted citation impact, top 12% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
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

5 authors at 3 institutions in 2 countries.

Jianguo DuSchool of Management, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0001-9628-7496
Xiaowen ZhuSchool of Management, Jiangsu University, Zhenjiang 212013, China.
Xingwei LiCollege of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.ORCID 0000-0002-8853-356X
Enes ÜnalCentre for Design Engineering, Cranfield University, College Road, Cranfield MK43 0AL, UK.ORCID 0000-0002-0593-4182
Philip LonghurstSchool of Water, Energy and Environment, Cranfield University, Cranfield MK43 0AL, UK.ORCID 0000-0002-7110-2747
Cranfield University · GBJiangsu University · CNSichuan Agricultural University · CN

Funding

National Social Science Fund of China 22AGL028
6 · The paper itself

Abstract

Although researchers have examined organizational sustainability practices, a specific interpretation of local government green development practices remains for supplemental analysis. This study conducted an empirical survey of 53 local officials from departments related to green development to understand the key processes and practices of green development behavior of local governments in China. The key findings indicate that the main stakeholders involved in the green development practices of Chinese local governments consist of enterprises and residents. In part, local government green development practices emphasize the greening of enterprises, especially in the step of process environmental regulation. The new institutionalism theory and the organizational process research provide dependable insights into green development behaviors. Our findings further shed light on the process of cross-sectoral cooperation across local government departments in green development, contributing to local multi-sectoral interactions for regional green development.

Indexed as

green development behaviorgrounded theorylocal governmentnew institutionalismorganizational process research

Identifiers

PMID37887463
PMCPMC10604796
OpenAlexW4387264734

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.