Evidence map›Paper›PMID 41915090›Full record

ArticleCarbon balance and management2026

Synergistic emission reduction mechanism of command-and-control and market-based incentives: an empirical study based on core firms in supply chains.

Liping Wang, Ru Li, Chaoya Wang, Chuang Li

Abstract read
In one paragraph

Article in Carbon balance and management, 2026. 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.

Liping WangFinance and Economics College, Jimei University, Xiamen, 361021, China.
Ru LiFinance and Economics College, Jimei University, Xiamen, 361021, China.
Chaoya WangSchool of Business Administration, Henan Polytechnic University, Jiaozuo, 454000, China.
Chuang LiSchool of Business Administration, Jimei University, Xiamen, 361021, China. lichuang@jmu.edu.cn.

Funding

Innovation Strategy Research Plan Project of Fujian Province 2025R0046National Social Science Fund of China 24FJYB037
6 · The paper itself

Abstract

The effectiveness of carbon emission reductions by core firms in high-carbon industries is a crucial link for achieving China’s “Dual Carbon” goals. Based on provincial panel data from 2011 to 2021 and data from 526 supply chain firms in high-carbon industries, this study employs the Difference-in-Differences method, linear regression, and mediating effect models to systematically examine the mechanisms and effects of command-and-control, market-based incentive, and public participation environmental regulations on the carbon emissions of supply chain firms. The findings indicate that: (1) Both command-and-control and market-based incentive environmental regulations can significantly reduce corporate carbon emissions and carbon intensity; the direct emission reduction effect of public participation regulations is not yet significant. (2) Mechanism tests reveal that green technology innovation plays a key mediating role in the carbon reduction process driven by the two types of formal regulations. (3) Heterogeneity analysis shows that the policy effects are more pronounced in regions with a higher degree of marketization and greater intensity of environmental regulation. This study provides a mechanistic explanation for understanding how firms in high-carbon industries can resolve the dilemma of emission reduction responsibilities through green innovation under regulatory pressure, and offers empirical evidence for differentially combining environmental regulation tools to facilitate low-carbon transformation of supply chains.

Indexed as

Environmental regulationsGovernment interventionGreen technology innovationMarketization levelSupply chain carbon reduction

Identifiers

PMID41915090
PMCPMC13159256

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.