How to address enterprise collusion in falsifying carbon emission data: A game theory analysis

Abstract Falsification of carbon emissions data poses a significant challenge to the integrity of the carbon trading market. Addressing this issue requires a comprehensive strategy involving various stakeholders. This paper focuses on collusive behavior in carbon emissions data falsification. An evolutionary game model is established to illustrate the interactions between local governments, carbon‐emitting enterprises, and third‐party carbon verification agencies. The stability of the evolutionary game and its conditions are analyzed, revealing the impact of regulatory penalties, credit losses, and awareness of responsibility. This study proposes a management framework tailored for this tripartite game, providing valuable insights for policy formulation.

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Publication Details

Journal
Managerial and Decision Economics
Published
2024-09-06
DOI
https://doi.org/10.1002/mde.4380
Citations
2
Primary Topic
Corporate Social Responsibility Reporting
Type
article
Field-Weighted Citation Impact
1.11
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How to address enterprise collusion in falsifying carbon emission data: A game theory analysis

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2 citations
Managerial and Decision Economics
Corporate Social Responsibility Reporting
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article

How to address enterprise collusion in falsifying carbon emission data: A game theory analysis

Xinqi Yang, Yong Sun, Tianjie Lei, G. Gong, Runtian Wu
article en
2 citations

Abstract

Abstract Falsification of carbon emissions data poses a significant challenge to the integrity of the carbon trading market. Addressing this issue requires a comprehensive strategy involving various stakeholders. This paper focuses on collusive behavior in carbon emissions data falsification. An evolutionary game model is established to illustrate the interactions between local governments, carbon‐emitting enterprises, and third‐party carbon verification agencies. The stability of the evolutionary game and its conditions are analyzed, revealing the impact of regulatory penalties, credit losses, and awareness of responsibility. This study proposes a management framework tailored for this tripartite game, providing valuable insights for policy formulation.

Managerial and Decision EconomicsVol. 46(1)
Guangzhou University (CN), Chinese Academy of Agricultural Sciences (CN), Institute of Environment and Sustainable Development in Agriculture (CN)
Openalex Percentile: Top 15%
Corporate Social Responsibility Reporting
1.11
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