Evidence map›Paper›PMID 36141973›Full record

ArticleInternational journal of environmental research and public health2022

The Improvement Path for Regionally Coordinated Green Development: Evidence from Social Network Analysis.

Yang Zhou, Hankun Wang, Zuqiang Wang, Xiang Dai

Open access · goldAbstract read
In one paragraph

Article 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-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, 5 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

4 authors at 4 institutions in 3 countries.

Yang ZhouThe Party School of Zhejiang Provincial Committee of the Communist Party of China, Hangzhou 311121, China.
Hankun WangDepartment of Public & International Affairs, City University of Hong Kong, Hong Kong 999077, China.
Zuqiang WangThe Party School of Zhejiang Provincial Committee of the Communist Party of China, Hangzhou 311121, China.
Xiang DaiCollege of Business and Economics, Australian National University, Canberra, ACT 2600, Australia.
Australian National University · AUCity University of Hong Kong · HKZhejiang Lab · CNZhejiang Party School · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regionally coordinated green development has been widely documented in China. However, most previous studies have investigated it from the perspective of linearity, while the spatial correlation of green development is nonlinear. Based on 48 cities in Bohai Rim, this study used a social network analysis to measure the spatial network, with an emphasis on the internal structure of regional green development, and analyzed the driving factors of regionally coordinated green development from the perspective of nonlinearity. We found that large cities have formed a "siphon effect" and that the polarization of eco-efficiency has become increasingly serious. There are limited connections, some of which are redundant, in the spatial network of green development, while the stability of the network is strong. Additionally, reducing the differences in environmental regulation approaches among cities can have a positive impact on the spatial correlation and spillover effect of green development, thereby promoting regionally coordinated green development among cities in the Bohai Rim.

Indexed as

EfficiencySocial Network AnalysisChinaCitiesEconomic Developmentenvironment regulationregionally coordinated green developmentsocial network analysisspatial nonlinearity effects

Identifiers

PMID36141973
PMCPMC9517154
OpenAlexW4296362496

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.