What drives the green development behavior of local governments? A perspective of grounded theory.

Jianguo Du, Xiaowen Zhu, Xingwei Li, Enes Ünal

Open access · goldAbstract read

In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

2.2field-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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 3 institutions in 2 countries.

Jianguo DuSchool of Management, Jiangsu University, Zhenjiang, 212013, China.

Xiaowen ZhuSchool of Management, Jiangsu University, Zhenjiang, 212013, China.

Xingwei LiCollege of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu, 611830, China.

Enes ÜnalCentre for Design Engineering, Cranfield University, Bedfordshire, MK43 0AL, UK.

Jiangsu University · CNCranfield University · GBSichuan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the elements that lead local governments to adopt sustainable development behaviors have been examined, the underlying processes that local governments adopt to accomplish green development behavior (GDB) lack systematic theoretical analysis. This study aims to investigate the determinants influencing local governments' implementation of GDB from the organizational internal and external perspectives. This study employed grounded theory to analyze the data and develop an influencing factor model of local government green development behavior (GDB-LG) after interviewing 53 Chinese local officials. Additionally, through integrating process organization research with new institutional theory, the mechanism that explains how these elements influence GDB was investigated. The results of the study demonstrate that the influencing factors model could give municipal governments clear guidance when creating sensible green development policies, further enhancing the efficacy of GDB.

Indexed as

Green development behaviorGrounded theoryLocal governmentSustainable practices

Identifiers

PMID38509992

DOI10.1016/j.heliyon.2024.e27744

PMCPMC10951574

OpenAlexW4392710478

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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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.