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

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.

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Publication Details

Journal
Carbon Balance and Management
Published
2026-03-31
DOI
https://doi.org/10.1186/s13021-026-00439-z
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Liping Wang, Chuang Li, Chaoya Wang, Ru Li
Carbon Balance and Management
Sustainable Supply Chain Management
article

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

Liping Wang, Chuang Li, Chaoya Wang, Ru Li
article en

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.

Carbon Balance and ManagementVol. 21(1)
Jimei University (CN), Henan Polytechnic University (CN)
National Social Science Fund of China
Openalex Percentile: Top 38%
Sustainable Supply Chain Management
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