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Research on Air Pollution Control in China: From the Perspective of Quadrilateral Evolutionary Games

Author

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  • Weixin Yang

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
    Weixin Yang and Yunpeng Yang are joint first authors. They contributed equally to this paper.)

  • Yunpeng Yang

    (Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China
    Weixin Yang and Yunpeng Yang are joint first authors. They contributed equally to this paper.)

Abstract

By constructing a quadrilateral evolutionary game model involving the central government, local governments, polluting enterprises, and the public, this paper attempts to comprehensively analyze the development and implementation of China’s air pollution control policies. Through the quadrilateral evolutionary game model, this paper systematically studies the evolutionary stable strategies of the four parties involved and obtains 27 equilibrium points, strategy sets, and their corresponding policy performance with the help of the four-dimensional dynamic system. The research results show that there are five equilibrium points that represent the least ideal scenarios, 14 equilibrium points that represent the less than ideal scenarios, four equilibrium points that represent the ideal scenarios, three equilibrium points that represent the more than ideal scenarios, and one equilibrium point that represents the most ideal scenarios. By analyzing the eight equilibrium points that represent the ideal, more than ideal and most ideal scenarios, especially the four stable points, this paper has obtained the conditions as well as policy implications of the four stable points in China’s air pollution control campaign.

Suggested Citation

  • Weixin Yang & Yunpeng Yang, 2020. "Research on Air Pollution Control in China: From the Perspective of Quadrilateral Evolutionary Games," Sustainability, MDPI, vol. 12(5), pages 1-23, February.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1756-:d:325525
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    References listed on IDEAS

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    14. Guanghui Yuan & Weixin Yang, 2019. "Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 11(3), pages 1-21, February.
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    Cited by:

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    3. Hao Gao & Weixin Yang & Jiawei Wang & Xiaoyun Zheng, 2020. "Analysis of the Effectiveness of Air Pollution Control Policies Based on Historical Evaluation and Deep Learning Forecast: A Case Study of Chengdu-Chongqing Region in China," Sustainability, MDPI, vol. 13(1), pages 1-28, December.
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    6. Weixin Yang & Hao Gao & Yunpeng Yang, 2022. "Analysis of Influencing Factors of Embodied Carbon in China’s Export Trade in the Background of “Carbon Peak” and “Carbon Neutrality”," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
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    8. Yang, Yunpeng & Yang, Weixin & Chen, Hongmin & Li, Yin, 2020. "China’s energy whistleblowing and energy supervision policy: An evolutionary game perspective," Energy, Elsevier, vol. 213(C).
    9. Meng Sun & Xukuo Gao & Jinze Li & Xiaodong Jing, 2022. "Research on Evolutionary Game of Water Environment Governance Behavior from the Perspective of Public Participation," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    10. Maria Federica Izzo & Alberto Dello Strologo & Fabrizio Granà, 2020. "Learning from the Best: New Challenges and Trends in IR Reporters’ Disclosure and the Role of SDGs," Sustainability, MDPI, vol. 12(14), pages 1-22, July.
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    13. Lifan Yang & Junhua Liu & Weixin Yang, 2023. "Impacts of the Sustainable Development of Cross-Border E-Commerce Pilot Zones on Regional Economic Growth," Sustainability, MDPI, vol. 15(18), pages 1-28, September.
    14. Yuqing Liao & Yongchao Ma & Jingliang Chen & Ruirui Liu, 2020. "Evaluation of the Level of Sustainable Development of Provinces in China from 2012 to 2018: A Study Based on the Improved Entropy Coefficient-TOPSIS Method," Sustainability, MDPI, vol. 12(7), pages 1-19, March.
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    16. Zhicheng Weng & Pinliang Luo, 2021. "Supervision of the Default Risk of Online Car-Hailing Platform from an Evolutionary Game Perspective," Sustainability, MDPI, vol. 13(2), pages 1-19, January.

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