| Issue |
E3S Web Conf.
Volume 409, 2023
International Conference on Management Science and Engineering Management (ICMSEM 2023)
|
|
|---|---|---|
| Article Number | 03013 | |
| Number of page(s) | 8 | |
| Section | Data Science | |
| DOI | https://doi.org/10.1051/e3sconf/202340903013 | |
| Published online | 01 August 2023 | |
Evolutionary Game Analysis on Local Governments and Airlines’ Behavioral Strategies in China under Carbon Trading
1 School of Economics and Management, Civil Aviation Flight University of China, Sichuan, People’s Republic of China
2 College of Control Science and Engineering, Zhejiang University, People’s Republic of China
3 School of Science and Engineering, University of Dundee, United Kingdom
4 School of Economics and Management, Civil Aviation Flight University of China, Sichuan, People’s Republic of China
* e-mail: alicescu@foxmail.com
The reduction of carbon emissions by airlines has become a crucial objective in achieving carbon neutrality. However, due to the existing benefits game between airlines and local governments, reducing carbon emissions in the air transport industry is a complex process. Previous research on reducing carbon emissions in the Chinese air transport industry has been divided on which approach to take. This study investigates the potential contribution of a carbon trading mechanism towards carbon emission reduction. Firstly, evolutionary game theory is employed to analyze the complex interactions between local governments and airlines, with the public will being introduced as a constraint in the proposed model. Secondly, the impact of the carbon trading mechanism on the dynamic evolution process and stakeholders is analyzed. Furthermore, the stability of the proposed evolutionary game model is verified through empirical analysis. The results show that the carbon trading mechanism plays a significant positive role in promoting both parties’ objectives, indicating that it is a feasible method for reducing emissions in China’s air transport industry.
Key words: Air transportation / Game theory / Sustainable development
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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