Evidence map›Paper›PMID 41233453›Full record

ArticleScientific reports2025

The emission-reduction effects of green innovation in china's heavily polluting industries under cost pressures.

Xiaoqing Jiang, Ge Gao, Sang Fu

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

3 authors.

Xiaoqing JiangSchool of Finance, Guangdong University of Foreign Studies, Guangzhou, 510006, China.
Ge GaoSchool of Economics, Fuyang Normal University, Fuyang, 236000, China. happyfuyang2000@163.com.
Sang FuSchool of Economics, Fuyang Normal University, Fuyang, 236000, China. fusang666@sina.com.

Funding

the Key Projects of the Anhui Provincial Colleges and Universities Talent Fund gxgwfx2020003the Research Project of Fuyang Normal University KYQD20240040
6 · The paper itself

Abstract

Green innovation is crucial for China, the "world's factory", to reduce the environmental impact of the high energy consumption and high emissions of heavily polluting industries. However, existing studies rarely investigate the emission-reduction effects of green innovation in heavily polluting industries in China. This study applies a dynamic panel model to explore how green innovation reduces pollutant emissions in these industries. Additionally, it examines the significant role of cost pressures in this process. The findings reveal three key insights: (1) Green innovation significantly reduces pollutant emission intensity in heavily polluting industries. However, cost pressures weaken the emission-reduction effects of green innovation. In contrast, efficiency-empowered advantages strengthen these effects. (2) Heterogeneity analysis reveals that the inhibitory effect of cost pressures primarily impacts small-scale and low-profit enterprises. This result highlights that the sensitivity of enterprises to costs is a key factor in reducing the effectiveness of green innovation. (3) Regional analysis indicates that cost pressures do not significantly affect the emission-reduction effects of green innovation in eastern and western enterprises. However, these pressures have a more pronounced inhibitory effect on central enterprises. This result could be due to increased competition for eligibility to receive industrial transfers from eastern coastal regions, which heightens the cost sensitivity of central enterprises. To address these challenges, this paper recommends improving the "cost-regulation matching mechanism" to resolve the paradox between green innovation and economic benefits, often referred to as the "weak Porter hypothesis".

Indexed as

Corporate emission reductionCost pressuresGreen innovationHeavily polluting industriesPorter hypothesis

Identifiers

PMID41233453
PMCPMC12615590

What OpenQuestion holds

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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.