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Evolutionary Game Mechanism of Governmental Cross-Regional Cooperation in AirPollution Management

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  • Na Zhang

    (Business School, Nanjing University of Information Science and Technology, Nanjing 210044, China
    Yangtze River Institute of International Digital Trade Innovation and Development, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Haiyan Wang

    (Business School, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Baohua Yang

    (Business School, Jiangsu Normal University, Xuzhou 221116, China)

  • Muyuan Wu

    (Petrochina Company Limited, Shanghai 200122, China)

Abstract

Intergovernmental collaboration is essential for regionally coordinated air pollution prevention and control. An evolutionary game model of local government behavior strategy selection taking into account the fixed cost of the local government, the total amount of network production factors, and the total amount of total network factors of production that can be moved is built based on the social capital theory in order to realize the cross-border collaborative control of regional air pollution. The issue of an intergovernmental cooperation framework for collaborative prevention and control of large-scale air pollution is addressed from the standpoint of the multi-stakeholder “benefit–cost” drive. Additionally, the major variables influencing the behavioral approach selection for intergovernmental cooperation are considered. The initial sensitivity of the evolution path of the local government behavioral strategy is also analyzed. The results of this study are: (1) The primary elements impacting intergovernmental cooperation on joint prevention and control of air pollution are fixed costs and fixed benefits, and reducing the fixed costs of such cooperation in an appropriate manner without compromising local governments’ pollution control can do so. (2) Under the assumption that local governments have fixed expenses, the total amount of network factors of production and total network factors of production that can be moved factors of production have a direct impact on intergovernmental cooperation. When local governments’ fixed costs are constant, they are more likely to choose the cooperative behavior option if the sum of their network production factors and total network factors of production that can be moved is higher. (3) The initial probability of cooperation among the three parties and the total amount of production factors have an impact on the system’s ESS when local governments in the area have equal total production factors. The study’s findings can offer theoretical justification for the “profit-driven” intergovernmental coordination of joint prevention and management of air pollution.

Suggested Citation

  • Na Zhang & Haiyan Wang & Baohua Yang & Muyuan Wu, 2023. "Evolutionary Game Mechanism of Governmental Cross-Regional Cooperation in AirPollution Management," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1413-:d:1032725
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    References listed on IDEAS

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    1. Bao, Qun & Shao, Min & Yang, Dali, 2021. "Environmental regulation, local legislation and pollution control in China," Environment and Development Economics, Cambridge University Press, vol. 26(4), pages 321-339, August.
    2. Xueping Wu & Ming Gao & Shihong Guo & Wei Li, 2019. "Effects of environmental regulation on air pollution control in China: a spatial Durbin econometric analysis," Journal of Regulatory Economics, Springer, vol. 55(3), pages 307-333, June.
    3. Elizabeth Schwartz, 2019. "Autonomous Local Climate Change Policy: An Analysis of the Effect of Intergovernmental Relations Among Subnational Governments," Review of Policy Research, Policy Studies Organization, vol. 36(1), pages 50-74, January.
    4. Yuxin Meng & Lu Liu & Jianlong Wang & Qiying Ran & Xiaodong Yang & Jianliang Shen, 2021. "Assessing the Impact of the National Sustainable Development Planning of Resource-Based Cities Policy on Pollution Emission Intensity: Evidence from 270 Prefecture-Level Cities in China," Sustainability, MDPI, vol. 13(13), pages 1-20, June.
    5. Amir H. Aghmashhadi & Samaneh Zahedi & Azadeh Kazemi & Christine Fürst & Giuseppe T. Cirella, 2022. "Conflict Analysis of Physical Industrial Land Development Policy Using Game Theory and Graph Model for Conflict Resolution in Markazi Province," Land, MDPI, vol. 11(4), pages 1-18, March.
    6. Gema Fernandez-Aviles & Roman Minguez & Jose-Maria Montero, 2012. "Geostatistical Air Pollution Indexes in Spatial Hedonic Models: The case of Madrid, Spain," Journal of Real Estate Research, American Real Estate Society, vol. 34(2), pages 243-274.
    7. Xindi Xu & Qinyun Wang & Haichao Hu & Xinjun Wang, 2021. "Air Pollution Control: An Analysis of China’s Industrial Off-Peak Production Policy through the Quasi-Natural Experiment Method," Sustainability, MDPI, vol. 13(9), pages 1-18, April.
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