Evidence map›Paper›PMID 41022912›Full record

ArticleScientific reports2025

Impact of environmental performance on intelligent transformation in Chinese manufacturing enterprises.

Zhou Qingjie, Sun Jiamin, Ran Lijun, Qu Yahui

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.

Zhou QingjieSchool of Economics, Beijing Technology and Business University, Haidian, Beijing, China.
Sun JiaminSchool of Economics, Beijing Technology and Business University, Haidian, Beijing, China. zhiyeniu1224@163.com.
Ran LijunSchool of Statistics, Chengdu University of Information Technology, Chengdu, Sichuan, China.
Qu YahuiSchool of Economics and Management, Luoyang Institute of Science and Technology, Luoyang, Henan, China.

Funding

Beijing Technology and Business University 19008024042The National Social Science Fund of China 21FJLB006
6 · The paper itself

Abstract

Intelligent transformation has become a key driver of enterprise development. It enables firms to improve operational efficiency, enhance innovation capabilities, and maintain long-term competitiveness. This study investigates the impact of environmental performance on the intelligent transformation of manufacturing firms in China. It uses the panel data from A-share listed manufacturing companies covering the period from 2010 to 2023. Environmental performance is measured using the environmental sub-score from the CNRDS ESG rating system. The analysis investigates both the direct impact of environmental performance on firms' intelligent upgrading and the mediating effects of external market environments, including product market, policy environment, and capital market. The empirical findings reveal that higher environmental performance significantly enhances the level of intelligent transformation, highlighting its increasingly key role in promoting technological progress and smart development in the manufacturing sector. This study contributes to the theoretical integration of environmental governance and digital transformation, offering practical implications for manufacturing firms seeking to align sustainability with innovation strategies under China's dual transformation framework.

Indexed as

Environmental performanceIntelligent transformationResource-based theoryStakeholders network

Identifiers

PMID41022912
PMCPMC12480630

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.