IDEAS home Printed from https://ideas.repec.org/a/wsi/apjorx/v42y2025i02ns021759592450012x.html
   My bibliography  Save this article

A New Cost-Sharing Scheme for Cleaning Up Polluted Line-Structure River

Author

Listed:
  • Dongshuang Hou

    (Research and Development Institute of Northwestern, Polytechnical University in Shenzhen, Sanhang Science and Technology Buliding, No. 45, Gaoxin South 9th Road, Nanshan District, Shenzhen 518063, Guangdong, P. R. China)

  • Weibin Han

    (School of Economics and Management, South China Normal University, Waihuanxi Road, No. 378, Guangzhou 510006, Guangdong, P. R. China)

  • Loyimee Gogoi

    (School of Mathematics and Statistics, Northwestern Polytechnical University, Dongxiang Road, No. 1, Xi’an 710072, Shaanxi, P. R. China)

Abstract

Cleaning up a polluted river requires coordinated actions among different firms along the river. The key to promoting and enriching the firms’ cooperation is to share the pollution cleanup cost among these firms fairly and reasonably. In this paper, we propose a new cost-sharing scheme, called the entire upstream agents compensation method (the EUAC method for short), for a line-structure river cleanup cost-sharing problem by considering the waste transfer rate for each river segment. On the one hand, we offer a re-allocation scenario in order to implement the EUAC method. On the other hand, to reveal the rationality and stability of this proposed method, we formulate a cooperative cost game for the line-structure river cleanup cost-sharing problem, and show that the EUAC method coincides with the Shapley value of this game and belongs to the core of this game.

Suggested Citation

  • Dongshuang Hou & Weibin Han & Loyimee Gogoi, 2025. "A New Cost-Sharing Scheme for Cleaning Up Polluted Line-Structure River," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 42(02), pages 1-19, April.
    • Handle: RePEc:wsi:apjorx:v:42:y:2025:i:02:n:s021759592450012x
    DOI: 10.1142/S021759592450012X
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S021759592450012X
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S021759592450012X?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:wsi:apjorx:v:42:y:2025:i:02:n:s021759592450012x. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/apjor/apjor.shtml .

    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.