IDEAS home Printed from https://ideas.repec.org/a/spr/decfin/v48y2025i1d10.1007_s10203-024-00461-1.html
   My bibliography  Save this article

Altruistic behavior and international environmental agreements: a differential game approach

Author

Listed:
  • Armando Sacco

    (University of Naples “Parthenope”)

Abstract

In the last three decades International Environmental Agreements (IEAs) have been widely analyzed. Classic models predict that only coalitions formed by a few countries can be stable, generating a rich literature devoted to solving the small coalition puzzle. The fundamental idea behind the great part of the literature is that players are selfish: to achieve a large stable coalition it is necessary to design an agreement that includes a credible system of incentives or punishments. The aim of this model is to study the effects, on equilibrium strategies and on the stability of an IEA, of players that do not look only at their own interests, but that take care of the wellness of the other players in coalition. Following the approach of the Paris Agreement in 2015, countries that join the coalition do not decide emissions collectively, but each of them sets their own emissions. The model is the usual two-step game: first the players have to choose whether they want to join the coalition or not, in the second step they solve a Nash differential game to find the optimal emissions. The stability of the coalition is studied in two cases: (i) with the classic internal and external stability, (ii) defining an altruistic stability condition.

Suggested Citation

  • Armando Sacco, 2025. "Altruistic behavior and international environmental agreements: a differential game approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 48(1), pages 517-540, June.
  • Handle: RePEc:spr:decfin:v:48:y:2025:i:1:d:10.1007_s10203-024-00461-1
    DOI: 10.1007/s10203-024-00461-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10203-024-00461-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10203-024-00461-1?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:spr:decfin:v:48:y:2025:i:1:d:10.1007_s10203-024-00461-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.