Evidence map›Paper›PMID 36913350›Full record

ArticlePloS one2023

The influence of bank governance structure on green credit.

Fengge Yao, Zenan Qin, Xiaomei Wang

Full text read
In one paragraph

Article in PloS one, 2023. 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
–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

1 citing paper in PubMed.

  1. An evaluation of the impact of China's green credit policy on different pathways using a CGE model.Environmental science and pollution research international · 2024
    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

3 authors.

Fengge YaoSchool of Finance, Harbin University of Commerce, Harbin, Heilongjiang, PR China.
Zenan QinSchool of Finance, Harbin University of Commerce, Harbin, Heilongjiang, PR China.
Xiaomei WangSchool of Tourism and Culinary Arts, Harbin University of Commerce, Harbin, Heilongjiang, PR China.ORCID 0000-0002-8536-967X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The introduction of green credit policy provides an important idea to solve the contradiction between economic development and environmental protection. Based on fuzzy-set Qualitative Comparative Analysis (fsQCA) method, from the perspective of bank governance structure, this paper selects ownership concentration, independence of the Board, executive incentive, activity of Supervisory Board, degree of market competition and loan quality as antecedent variables to analyze the path of their impact on green credit. It is found that: (1) The main way to achieve high-level green credit is high ownership concentration and good loan quality. (2) The configuration of green credit has causal asymmetry. (3) Ownership structure is the most important factor affecting green credit. (4) There is a substitution between the low independence of the Board and the low executive incentive. The low activity of Supervisory Board and the poor loan quality are also substitutable to a certain extent. The research conclusion of this paper is helpful to improve the green credit level of Chinese banks and win the green reputation for banks.

Indexed as

Economic DevelopmentEnvironmental PollutionChinaOwnershipPolicy

Identifiers

PMID36913350
PMCPMC10010550

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read33
reference markers read62
identifiers read10
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.