Evidence map›Paper›PMID 38714797›Full record

ArticleScientific reports2024

Research on the impact of ESG performance on carbon emissions from the perspective of green credit.

Xiangrong Kong, Zhezhou Li, Xiao Lei

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

3 authors.

Xiangrong KongSchool of Finance, Fuzhou University of International Studies and Trade, Fuzhou, 350202, China. kongxiangrong@fzfu.edu.cn.
Zhezhou LiInternational Business School, Fuzhou University of International Studies and Trade, Fuzhou, 350202, China.
Xiao LeiSchool of Information Management, Beijing Information Science and Technology University, Beijing, 100192, China.

Funding

2023 Provincial Natural Science Foundation Project of Fujian No. 2023J05219Beijing Social Science Foundation No.20JJC023Humanities and Social Science Fund of the Ministry of Education No.20YJC630056Qinxin Talents Cultivation Program of Beijing Information Science and Technology University QXTCPC202116The PhD Project of Fujian Social Science Foundation in 2022 FJ2022BF076The PhD Project of Fujian Social Science Foundation in 2023 FJ2023BF042The Project of Cultivation for young top-motch Talents of Beijing Municipal Institutions BPHR202203234
6 · The paper itself

Abstract

Utilizing panel data from 30 Chinese provinces, this research examines the non-linear relationship between regional environmental, social, and governance (ESG) performance and carbon emissions (CE) from the viewpoint of green credit. The study reveals a single threshold effect between ESG performance and CE, with green credit acting as the threshold variable. When the amount of green credit in a region exceeds the threshold, the growth rate of CE in that region begins to decline with higher ESG scores. Furthermore, green credit acts as a catalyst, playing a negative moderating role between ESG performance and CE, validated by both threshold regression and fixed effects models on panel data. Green credit indirectly influences carbon emissions by supporting green innovation, thus facilitating the transition to a greener economic development framework. Lastly, regional disparities are found in the moderating influence of green credit between ESG performance and CE. In regions with high ESG performance, the moderating impact of green credit is smaller, while in regions with low ESG performance, the effect is more significant. The research findings offer theoretical backing for policymakers regarding the efficacy of ESG in achieving carbon neutrality objectives, and offer valuable strategic recommendations for the diversified formulation of green credit strategies on both national and provincial scales. Regional heterogeneity test results provide valuable support for formulating policies that encourage green credit in provinces with low ESG performance.

Indexed as

Carbon emissionsESG performanceGreen creditThreshold effect

Identifiers

PMID38714797
PMCPMC11636868

What OpenQuestion holds

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LicenceCC BY
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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.