Data fraud in the carbon emissions trading market: A tripartite evolutionary game analysis from China

Yanbin Li, Chang Liu, Jiani Wang, Yuan Wang, Xiuqi Yang and Yun Li

Utilities Policy, 2024, vol. 91, issue C

Abstract: Data fraud affects the carbon emissions trading market order. This paper constructs a tripartite evolutionary game model among environmental authorities, power generation enterprises, and third-party verification agencies; systematically analyzes the evolutionary laws and evolutionary stabilization strategies of the three parties; conducts simulation analysis and parameter impact analysis of four carbon emission accounting scenarios, explores the causes of data fraud and puts forward policy implications. The research can provide the theoretical basis for the Chinese government to improve the carbon emission regulation system and can also be used as a reference for other countries' carbon emission data quality control.

Keywords: Carbon emissions trading market; Data fraud; Tripartite evolutionary game (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:juipol:v:91:y:2024:i:c:s0957178724001425

DOI: 10.1016/j.jup.2024.101848

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