IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v532y2019ics0378437119310544.html
   My bibliography  Save this article

Cluster evolution in public goods game with fairness mechanism

Author

Listed:
  • Zhang, Baojian
  • Cui, Zeguang
  • Yue, Xiaohang

Abstract

Defector contributes nothing but gains benefit in public goods game. This phenomenon creates an incentive for free riding and causes inefficient equilibrium in which everyone is defector. However, coexistence of cooperation and defection is pervasive for a large well-mixed population in nature society. Inspired by the fact that humans have strong but also emotional tendencies for fair play, we employ a fairness mechanism with peer punishment to solve the public goods problem of a well-mixed cluster and aim to analyze cluster evolutionary process. The process is divided into three stages. In the first stage called cluster formation, this problem can be effectively solved by same-strategy groups. The second stage is cluster extension, we utilize multiplayer game and prove that increasing fairness factor and decreasing punishment cost are two effective ways to improve cooperation. Finally, we obtain the coexistence of cooperation and defection in the third stage called boom and bust.

Suggested Citation

  • Zhang, Baojian & Cui, Zeguang & Yue, Xiaohang, 2019. "Cluster evolution in public goods game with fairness mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 532(C).
    • Handle: RePEc:eee:phsmap:v:532:y:2019:i:c:s0378437119310544
    DOI: 10.1016/j.physa.2019.121796
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437119310544
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2019.121796?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. Lee, Hsuan-Wei & Cleveland, Colin & Szolnoki, Attila, 2021. "Small fraction of selective cooperators can elevate general wellbeing significantly," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    2. Wang, Mengyao & Pan, Qiuhui & He, Mingfeng, 2020. "The interplay of behaviors and attitudes in public goods game considering environmental investment," Applied Mathematics and Computation, Elsevier, vol. 382(C).
    3. Dongwei Guo & Mengmeng Fu & Hai Li, 2021. "Cooperation in Social Dilemmas: A Group Game Model with Double-Layer Networks," Future Internet, MDPI, vol. 13(2), pages 1-27, January.

    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:eee:phsmap:v:532:y:2019:i:c:s0378437119310544. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.