Analysis of Sustainable Development Strategy of Heavily Polluting Enterprises—Based on the Tripartite Game Model

Baojuan Shi, Meiqing Wu and Yingxiu Zhao ()
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Baojuan Shi: School of Economics and Management, North China University of Science and Technology, Tangshan 063000, China
Meiqing Wu: School of Economics and Management, North China University of Science and Technology, Tangshan 063000, China
Yingxiu Zhao: School of Economics and Management, North China University of Science and Technology, Tangshan 063000, China

Sustainability, 2025, vol. 17, issue 9, 1-30

Abstract: We constructed a three-tier tripartite evolutionary game model to analyze the interactive relationships among the government, clusters of heavily polluting enterprises, and the public regarding carbon emission reduction. The findings revealed that enhanced supervision efforts by both the government and the public significantly accelerated the evolutionary speed of green transition within heavily polluting enterprise clusters. Under current policy frameworks, the government effectively guided heavily polluting enterprises toward green and sustainable development pathways by implementing green subsidies and stringent environmental regulation policies. Pioneering enterprises in heavily polluting industries adopting green technology innovation expedited the green transformation of the entire sector substantially. Numerical simulations were conducted to validate these conclusions, and corresponding countermeasures and suggestions were proposed to facilitate the green transition of heavily polluting enterprises.

Keywords: environmental performance; green technology innovation; three-way game; heavily polluting enterprises (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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