Evidence map›Paper›PMID 38743669›Full record

ArticlePloS one2024

How does digital transformation affect the ESG performance of Chinese manufacturing state-owned enterprises?-Based on the mediating mechanism of dynamic capabilities and the moderating mechanism of the institutional environment.

Xin Jin, Yizhu Wu

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

2 authors.

Xin JinShanghai Maritime University, Shanghai, China.
Yizhu WuShanghai Maritime University, Shanghai, China.ORCID 0009-0005-8376-9943

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Against the background of sustainable development policies, the ESG performance of Chinese manufacturing enterprises is still generally poor. As the leading enterprises in the manufacturing industry, state-owned enterprises should take the lead in responding to the national call for sustainable development and actively explore the path to improve their ESG performance. This study aims to explore whether and how state-owned manufacturing enterprises can improve their poor ESG performance through digital transformation in the digital economy. This study takes Shanghai and Shenzhen A-share state-owned listed manufacturing enterprises as the research sample and constructs an unbalanced panel. OLS regression analysis is used to empirically test the impact of digital transformation on the ESG performance of the sample firms. Further attempts are made to discuss the influence mechanism of digital transformation from the perspectives of dynamic capabilities and the institutional environment through stepwise and hierarchical regression methods, respectively. The study shows that, firstly, digital transformation is an important influencing factor in promoting the improvement of enterprises' ESG performance, and at the same time, there are significant structural differences in this influence. Second, under the dynamic capability perspective, digital transformation can improve corporate ESG performance through an absorptive feedback mechanism, matching response mechanism, and innovation efficiency enhancement mechanism. Third, from the perspective of the institutional environment, the informal system has a significant positive moderating effect on the relationship between digital transformation and ESG performance, i.e., the informal system and digital transformation have a synergistic governance effect on corporate ESG performance. The moderating effect of the formal institutional environment on digital transformation and ESG performance is not significant. The findings of the study clarify the controversy over the relationship between digital transformation and ESG performance of manufacturing state-owned enterprises and enrich the research on the influencing factors of corporate ESG performance. It also provides a theoretical foundation and empirical evidence for manufacturing SOEs to improve ESG performance and lead to sustainable development.

Indexed as

Manufacturing IndustryChinaHumansSustainable Development

Identifiers

PMID38743669
PMCPMC11093376

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LicenceCC BY
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