Evidence map›Paper›PMID 40251210›Full record

ArticleScientific reports2025

Research on the impact of green finance on collaborative governance of pollution reduction and carbon reduction.

Ke Lu, Dongri Han, Chaoyang Li, Yiming Chen

Abstract read
In one paragraph

Article in Scientific reports, 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

4 authors.

Ke LuBusiness School, Shandong University of Technology, Zibo, 255000, People's Republic of China.
Dongri HanBusiness School, Shandong University of Technology, Zibo, 255000, People's Republic of China.
Chaoyang LiSchool of Economics and Management, Weifang University of Science and Technology, Weifang, 262700, People's Republic of China. 17615706604@163.com.
Yiming ChenSchool of Economics and Management, Weifang University of Science and Technology, Weifang, 262700, People's Republic of China.

Funding

Shandong Province Social Science Planning Humanities and Social Science Basic Theory Research Project 24CRWJ30
6 · The paper itself

Abstract

Collaborative governance of pollution reduction and carbon reduction is an important measure to achieve the goal of "green ecological civilization construction" in China. This paper utilizes the coupling coordination degree model to assess the level of collaborative governance of pollution reduction and carbon reduction, while the entropy method is employed to quantify the green finance development index. Using provincial panel data from 2013 to 2022 in China, this paper initially explores the direct relationship between green finance and collaborative governance of pollution reduction and carbon reduction through a baseline regression model. Secondly, considering the heterogeneity in geographical location and energy endowment, this paper categorizes the sample provinces into distinct regions to conduct heterogeneous analysis. Lastly, employing the threshold regression model, this paper examines the non-linear impact of green finance on the collaborative governance of pollution and carbon reduction, with green finance, green technology innovation, and new energy industry development as the threshold variables. The following results are obtained through the test: (1) Green finance significantly and directly impacts the collaborative governance of pollution reduction and carbon reduction. (2) The effect of green finance on collaborative governance of pollution reduction and carbon reduction varies by geographical location and energy endowment, showing a pattern of "Central > Western > Eastern > Northeast" and "Energy-rich areas > Non-energy-rich areas." (3) Considering regional heterogeneity, green finance exhibits varying threshold effects on collaborative governance of pollution reduction and carbon reduction. In the case of low green finance development level, high green technology innovation, and high new energy industry development, green finance can have a more positive influence. The study results of this paper offer a certain reference value for the government to formulate relevant policies and create a good ecological environment.

Indexed as

Collaborative governance of pollution reduction and carbon reductionGreen financeHeterogeneity testThreshold regression

Identifiers

PMID40251210
PMCPMC12008379

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.