Evidence map›Paper›PMID 40388517›Full record

ArticlePloS one2025

How can multiple benefit drivers improve corporate ESG performance?-The effects of green technology innovation and peer pressure.

Bing Ma, Xiaoqi Dong, Peng Shao, Zhen Chen

Abstract read
In one paragraph

Article in PloS one, 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.

Bing MaSchool of Management, Xi'an Polytechnic University, Xi'an, Shaanxi, China.
Xiaoqi DongSchool of Management, Xi'an Polytechnic University, Xi'an, Shaanxi, China.
Peng ShaoSchool of Management, Xi'an Polytechnic University, Xi'an, Shaanxi, China.ORCID 0000-0002-4350-8352
Zhen ChenSchool of Management, Xi'an Polytechnic University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To achieve the 'carbon peaking and carbon neutrality' objectives, there has been a growing interest in corporate environmental, social, and governance (ESG) performance from governmental and supervisory bodies. This heightened focus has posed critical theoretical and practical questions on how firms can enhance their ESG performance to facilitate their transition to a green economy. From a stakeholder perspective, this study examines data from 724 listed Chinese companies spanning 2015-2021. It aims to elucidate the relationship between benefit drivers (such as media attention, financing constraints, and government subsidies) and corporate ESG performance, along with investigating the mediating role of green technology innovation and the moderating influence of peer pressure in this context. The findings suggest that both media attention and government subsidies positively correlate with ESG performance, while financing constraints exhibit a negative correlation. Moreover, green technology innovation serves as a mediator between benefit drivers and corporate ESG performance. Furthermore, peer pressure can serve as a positive moderator in the relationship between media attention and green technology innovation, as well as in the negative relationship between financing constraints and green technology innovation. Conversely, it can negatively moderate the positive relationship between government subsidies and green technology innovation. Heterogeneity analysis reveals that in enterprises with superior resource acquisition capabilities, benefit drivers exert a more pronounced influence on corporate ESG performance. Similarly, in state-owned enterprises, benefit drivers also have a heightened impact on corporate ESG performance.

Indexed as

InventionsTechnologyChinaHumans

Identifiers

PMID40388517
PMCPMC12088519

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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.