Evidence map›Paper›PMID 42062306›Full record

ArticleScientific reports2026

The impact of environmental regulation on the development of new quality productive forces in heavily polluting enterprises.

Shiyu Li, Deqin Lin, Benzhuang Du

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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. 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.

Shiyu LiSchool of Economics and Management, Harbin Normal University, Harbin, China. f22092100084@cityu.mo.
Deqin LinSchool of Economics and Management, Harbin Normal University, Harbin, China. dqlin@cityu.mo.
Benzhuang DuFaculty of Law, University of Macau, Macau, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advancement of ecological civilization depends on striking a balance between environmental protection and economic expansion. It is also essential for long-term national development and governance. According to the theoretical framework provided by the Porter hypothesis, environmental regulations have the potential to improve economic efficiency and increase corporate competitiveness. This research uses A-share listed companies to analyze the effects of environmental regulations on the new quality productive forces in heavily polluting enterprises from 2011 to 2022. The new Environmental Protection Law, passed in 2015, serves as the framework for the research. Empirical findings indicate that environmental regulations facilitate the new quality productive forces in heavily polluting enterprises, supported by robustness tests. The main ways that environmental regulations drive the new quality productive forces are through increased investment in technological innovation and wider access to financing. The analysis shows that new environmental law, especially in non-state-owned businesses and those with sufficient cash flow, successfully encourage the smooth integration of environmental preservation and new quality productive forces. The ramifications highlight how crucial it is to keep improving the recently passed Environmental Protection Law, developing green technology policies, and opening up new funding sources in order to promote ecological civilization and sustainable economic growth.

Indexed as

Environmental regulationFinancing constraintNew environmental protection lawNew quality productive forcesQuasi-natural experimentTechnological innovation

Identifiers

PMID42062306
PMCPMC13133153

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.