Evidence map›Paper›PMID 40069262›Full record

ArticleScientific reports2025

Dynamic correlation of environmental regulation, technological innovation, and corporate carbon emissions: empirical evidence from China listed companies.

Linjie Feng, Yi Shi, Zhenjie Yang, Johnny F I Lam, Su Lin, Jinghui Zhan, Huangxin Chen

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. 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. Review
  2. Article
  3. 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

7 authors.

Linjie FengFaculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, 999078, China.
Yi ShiFaculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, 999078, China.
Zhenjie YangFaculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, 999078, China.
Johnny F I LamFaculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, 999078, China. filam@mpu.edu.mo.
Su LinFaculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, 999078, China.
Jinghui ZhanFaculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, 999078, China.
Huangxin ChenFaculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, 999078, China. chx417122@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The notable rise in carbon emissions has profoundly affected humanity's sustainable development. Achieving the "dual-carbon" goal requires understanding how enterprises can effectively reduce their carbon footprint. To elucidate the dynamic correlation of environmental regulation, corporate technological innovation, and corporate carbon emissions, this study employs a Panel Vector Autoregression model to analyze data from listed firms between 2005 and 2021, using GMM regression, impulse response analysis, and variance decomposition. The key findings are: (1) Environmental regulation, corporate technological innovation, and corporate carbon emissions exhibit self-reinforcing mechanisms, though the effect weakens over time. (2) Environmental regulation reduces corporate carbon emissions significantly, and this effect is partially mediated through corporate technological innovation. (3) A bidirectional relationship exists between corporate technological innovation and corporate carbon emissions, where corporate technological innovation has a stronger positive effect on reducing corporate carbon emissions. (4) Environmental regulation promotes corporate technological innovation, while corporate technological innovation gradually mitigates the stringency of environmental regulation. The findings herein offer actionable insights for enterprises to adopt cleaner production strategies and offer a scientific basis for policymakers to enhance environmental regulations in pursuit of a low-carbon economy.

Indexed as

Corporate carbon emissionsCorporate technological innovationEnvironmental regulationImpulse responsePanel Vector Autoregression

Identifiers

PMID40069262
PMCPMC11897381

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.