Game Theory-Based Modeling of Government–Enterprise Behavior in Exhaust Emission and Testing and Policy Optimization
DOI: 10.23977/tracam.2025.050105 | Downloads: 0 | Views: 29
Author(s)
Zhu Yunbo 1
Affiliation(s)
					1 Beijing No.2 Middle School, No. 15 Neiwubu Street, Dongcheng District, Beijing, China
				
Corresponding Author
Zhu YunboABSTRACT
Conflicting objectives exist between government and enterprises: the government aims to minimize detection failure rates, while enterprises seek to minimize compliance costs. Also, information asymmetry exists, where enterprises conceal actual emissions data, and regulatory agencies face resource constraints. To reveal the equilibrium state of government–enterprise behavior in emissions detection, policy effectiveness through mathematical modeling is validated. By adjusting payoff matrix parameters, transforms non-cooperative equilibria can be transformed into near-cooperative Pareto-improved states, enhancing overall social welfare. This demonstrates the optimization value of game theory for emissions detection under resource constraints. The constructed mixed-strategy payoff matrix for government-enterprise games displays that government monitoring can enhance penalty enforcement and cost-reduction efficiency improvement policies. Furthermore, incorporating long-term models is necessary to drive enterprises toward compliant emissions.
KEYWORDS
Mixed Strategy; Waste Gas (Exhaust); Government–Enterprise GameCITE THIS PAPER
Zhu Yunbo, Game Theory-Based Modeling of Government–Enterprise Behavior in Exhaust Emission and Testing and Policy Optimization. Transactions on Computational and Applied Mathematics (2025) Vol. 5: 37-44. DOI: http://dx.doi.org/10.23977/tracam.2025.050105.
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