Evidence map›Paper›PMID 41285913›Full record

ArticleScientific reports2025

The impact of environmental regulation on carbon emissions and its mechanisms in Chinese cities.

Guichao Jin, Guoliang Wang, Wenjing Li, Haoxuan Sheng, Chunqi Hu, Yanfei Zhao

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.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Guichao JinAlibaba Business School, Hangzhou Normal University, Hangzhou, China. jinguichao@126.com.
Guoliang WangSchool of Economics, Hangzhou Dianzi University, Hangzhou, China. wgljgc@126.com.
Wenjing LiSchool of Economics, Hangzhou Dianzi University, Hangzhou, China.
Haoxuan ShengSchool of Economics, Hangzhou Dianzi University, Hangzhou, China.
Chunqi HuSchool of Economics, Hangzhou Dianzi University, Hangzhou, China.
Yanfei ZhaoSchool of Economics, Hangzhou Dianzi University, Hangzhou, China.

Funding

Department of Education of Zhejiang Province Y202249675The National Social Science Fund of China 17AGL008
6 · The paper itself

Abstract

As the principles of green development continue to be implemented, China's government-led and market-assisted environmental regulatory framework has become a crucial tool for driving continuous ecological improvement and advancing the construction of a Beautiful China. Under the "dual carbon" strategy, elucidating the mechanisms by which environmental regulation affects urban carbon emissions is of critical importance for facilitating green transformation and promoting high-quality development. Using panel data from 272 prefecture-level and above cities in China from 2003 to 2020, this study develops a composite index to quantify the intensity of urban environmental regulation. It systematically analyzes the spatial-temporal distribution patterns and evolutionary trends of both urban carbon emissions and regulatory intensity. Employing spatial autoregressive models and mediation effect models, the paper explores the impact of environmental regulation on carbon emissions and the underlying mechanisms at play. The key findings are as follows: First, both carbon emissions and the intensity of environmental regulation in Chinese cities show significant spatial clustering characteristics. Carbon emissions have shown an overall upward trend over the years, with notable regional disparities. The intensity of environmental regulation has generally fluctuated upward, although regional differences remain prominent. Second, environmental regulation significantly curbs carbon emissions, providing empirical support for the "forced emission reduction hypothesis". Third, technological progress plays a partial mediating role in the relationship between environmental regulation and carbon emissions, thereby validating the "porter hypothesis". Fourth, foreign direct investment also partially mediates the impact of environmental regulation on carbon emissions, lending support to the "pollution halo hypothesis". The main contribution of this study lies in the systematic construction of a multidimensional mechanism framework for environmental regulation from a spatial perspective. It comprehensively identifies both the direct effects and indirect transmission pathways through which environmental regulation influences carbon emissions, thereby extending the theoretical boundaries of research on regulatory effects. Moreover, the findings provide a solid theoretical foundation and practical reference for the formulation of regionally differentiated carbon reduction policies.

Indexed as

Carbon emissionsEnvironmental regulationForeign direct investmentTechnological progress

Identifiers

PMID41285913
PMCPMC12644742

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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.