Research on Transboundary Air Pollution Control and Cooperative Strategies Based on Differential Game

This paper examines control and cooperation mechanisms for trans-regional air pollution using differential game theory. This study focuses on analyzing pollution control pathways in regions characterized by asymmetric economic development. Three models are constructed: the Nash non-cooperative game, the pollution control cost compensation mechanism, and the collaborative cooperation mechanism. These models are used to investigate optimal pollution control strategies for various regions. The findings indicate that the collaborative cooperation model substantially reduces pollution emissions and enhances overall benefits. Additionally, the pollution control cost compensation mechanism alleviates the burden of pollution control on less developed regions. Numerical analysis confirms the effectiveness of the proposed models and offers theoretical foundations and policy recommendations for regional cooperation in pollution prevention.

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Publication Details

Journal
Atmosphere
Published
2024-12-20
DOI
https://doi.org/10.3390/atmos15121528
Citations
3
Primary Topic
Climate Change Policy and Economics
Type
article
Field-Weighted Citation Impact
3.39

Funders

Controls
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article

Research on Transboundary Air Pollution Control and Cooperative Strategies Based on Differential Game

Chengyue Yu, Guoping Tu, Feilong Yu
3 citations
Atmosphere
Climate Change Policy and Economics
3.39
article

Research on Transboundary Air Pollution Control and Cooperative Strategies Based on Differential Game

Chengyue Yu, Guoping Tu, Feilong Yu
article en
3 citations

Abstract

This paper examines control and cooperation mechanisms for trans-regional air pollution using differential game theory. This study focuses on analyzing pollution control pathways in regions characterized by asymmetric economic development. Three models are constructed: the Nash non-cooperative game, the pollution control cost compensation mechanism, and the collaborative cooperation mechanism. These models are used to investigate optimal pollution control strategies for various regions. The findings indicate that the collaborative cooperation model substantially reduces pollution emissions and enhances overall benefits. Additionally, the pollution control cost compensation mechanism alleviates the burden of pollution control on less developed regions. Numerical analysis confirms the effectiveness of the proposed models and offers theoretical foundations and policy recommendations for regional cooperation in pollution prevention.

AtmosphereVol. 15(12)
Nanchang University (CN), Nanchang Institute of Science & Technology (CN)
National Natural Science Foundation of China
Partnerships for the goals
Openalex Percentile: Top 6%
Climate Change Policy and Economics
3.39
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