Evidence map›Paper›PMID 40969633›Full record

ArticleFrontiers in public health2025

Drivers and group analysis of governance efficiency of eco-environmental government-enterprise co-operation in China.

Xiaohu Yang, Xiaoling Yan, Guangyao Wang, Yanqin Wei, Meiling Zheng

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. 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
–field-weighted citation impact
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.

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

5 authors.

Xiaohu YangSchool of Marxism, Shihezi University, Shihezi, China.
Xiaoling YanSchool of Marxism, Shihezi University, Shihezi, China.
Guangyao WangSchool of Marxism, Shihezi University, Shihezi, China.
Yanqin WeiSchool of Marxism, Shihezi University, Shihezi, China.
Meiling ZhengSchool of Medical Administration, Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The government-enterprise cooperation (GEC) model presents an innovative approach to China's eco-environmental governance, effectively alleviating fiscal pressures on government, enhancing governance efficacy, and promoting balanced economic-ecological development across regions. This study employs the DEA method to measure eco-environmental GEC governance efficiency across 30 Chinese provinces (2010-2021), while utilizing the GTWR model to analyze spatiotemporal distribution patterns of efficiency drivers and their clustering characteristics. Key findings include: ① Temporally, China's eco-environmental GEC governance efficiency demonstrates triphasic evolution: "declining-rising-declining." ② Spatially, significant non-stationarity emerges with distinct high-low clustering patterns during the study period. ③ Driver analysis through spatiotemporal geographically weighted regression reveals substantial spatiotemporal heterogeneity in factor influences, with population density, technological investment, and innovation capacity emerging as key determinants through cluster analysis. Policy recommendations propose: (1) Implementing regionally differentiated GEC governance frameworks; (2) Enhancing technological sophistication and energy utilization efficiency in GEC systems; (3) Optimizing legal and market infrastructures for eco-environmental collaboration.

Indexed as

Conservation of Natural ResourcesGovernmentChinaHumansdriversecological environmentgovernance efficiencygovernment-enterprise cooperationgroup analysis

Identifiers

PMID40969633
PMCPMC12442242

What OpenQuestion holds

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Registered trials

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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.