IDEAS home Printed from https://ideas.repec.org/a/taf/repsxx/v4y2016i3p238-257.html
   My bibliography  Save this article

Environmental options of local governments for regional air pollution joint control: application of evolutionary game theory

Author

Listed:
  • Shihong Guo

Abstract

Apanage management is currently the main method used to control air pollution in China, but it has proved to be inefficient for controlling transboundary air pollution. As a result, China’s central government is demanding joint control of regional air pollution. From the perspective of cooperation benefits, we adopt the evolutionary game theory (EGT) to analyse evolutionary trends of regional authorities’ behaviours and their stable strategy in the campaign for joint control of regional air pollution. A case study, the intergovernmental cooperation management for ‘APEC Blue’, is taken to illustrate the intergovernmental game. The result shows that an evolutionarily stable strategy (ESS) of ‘joint control’ for local governments depends on individual region’s benefits and collaboration revenues. Local governments should be encouraged in collaborating with their neighbouring governments, because a certain amount of transaction costs will not undermine their cooperation. With regards to the case study, joint control through executive orders is unpractical in the Beijing–Tianjin–Hebei region. ‘APEC Blue’ can only be temporary and the failure of such collaboration for long-term regional air pollution control is inevitable because of its high control costs, economic loss, transaction costs and low common profits.

Suggested Citation

  • Shihong Guo, 2016. "Environmental options of local governments for regional air pollution joint control: application of evolutionary game theory," Economic and Political Studies, Taylor & Francis Journals, vol. 4(3), pages 238-257, July.
  • Handle: RePEc:taf:repsxx:v:4:y:2016:i:3:p:238-257
    DOI: 10.1080/20954816.2016.1218691
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/20954816.2016.1218691
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/20954816.2016.1218691?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Zehui & Wang, Fang & Shen, Luming & Xie, Qiang, 2022. "Multiscale time-lagged correlation networks for detecting air pollution interaction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 602(C).
    2. Meng Ding & Hui Zeng, 2022. "Multi-Agent Evolutionary Game in the Recycling Utilization of Sulfate-Rich Wastewater," IJERPH, MDPI, vol. 19(14), pages 1-20, July.
    3. Cheng Zhou & Zaijian Qian & Zhenyan Han, 2023. "Evolutionary Game Analysis of Post-relocation Support Projects for Reservoir Resettlement: Evidence from China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 135-152, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:repsxx:v:4:y:2016:i:3:p:238-257. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/reps .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.