Research on the Evolutionary Game Mechanism of Carbon Emission Data Supervisory from the Perspective of Law-Economy Synergy
Yinghui Chi (),
Fuyuan Yang,
Xiaomin Yang and
Yangguo Hu
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Yinghui Chi: China University of Petroleum (East China)
Fuyuan Yang: China University of Petroleum (East China)
Xiaomin Yang: China University of Petroleum (East China)
Yangguo Hu: China University of Petroleum (East China)
A chapter in Proceedings of the 2025 3rd International Academic Conference on Management Innovation and Economic Development (MIED 2025), 2025, pp 1127-1143 from Springer
Abstract:
Abstract Under China's “dual carbon” goals, carbon emission data supervision faces coordination dilemmas between legal constraints and economic incentives. This paper constructs a tripartite evolutionary game model involving the government, energy enterprises, and Third-party Verification Institutions. Using numerical simulation, it reveals the dynamic evolution path and equilibrium conditions. Key findings include: 1) A significant synergistic effect exists between legal constraints and economic incentives; 2) The government’s minimum penalty intensity for data falsification must exceed enterprises’ carbon data management costs; 3) Enterprises’ internal management costs must achieve systematic risk control within acceptable ranges; 4) TPVIs’ verification standards must balance accuracy with stakeholder acceptability to reach high-efficiency equilibrium. A law-economy synergistic policy framework is proposed, utilizing legal “hard constraints” and economic “soft constraints” to resolve “high-cost Strong Supervision” and “low-efficiency Weak Supervision” dilemmas, promoting “Active Emission Reduction” and ensuring carbon market fairness.
Keywords: Energy Enterprises; Carbon Emission Data Supervision; Evolutionary Game; Legal-economic Synergy; Policy Design (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-835-6_121
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DOI: 10.2991/978-94-6463-835-6_121
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