IDEAS home Printed from https://ideas.repec.org/p/ags/feemso/115847.html

Punish and Perish?

Author

Listed:
  • Antoci, Angelo
  • Zarri, Luca

Abstract

The evolution of large-scale cooperation among genetic strangers is a fundamental unanswered question in the social sciences. Behavioral economics has persuasively shown that so called ‘strong reciprocity’ plays a key role in accounting for the endogenous enforcement of cooperation. Insofar as strongly reciprocal players are willing to costly sanction defectors, cooperation flourishes. However, experimental evidence unambiguously indicates that not only defection and strong reciprocity, but also unconditional cooperation is a quantitatively important behavioral attitude. By referring to a prisoner’s dilemma framework where punishment (‘stick’) and rewarding (‘carrot’) options are available, here we show analytically that the presence of cooperators who don’t punish in the population makes altruistic punishment evolutionarily weak. We show that cooperation breaks down and strong reciprocity is maladaptive if costly punishment means ‘punishing defectors’ and, even more so, if it is coupled with costly rewarding of cooperators. In contrast, punishers don’t perish if cooperators, far from being rewarded, are sanctioned. These results, based on an extended notion of strong reciprocity, challenge evolutionary explanations of cooperation that overlook the ‘dark side’ of altruistic behavior.

Suggested Citation

  • Antoci, Angelo & Zarri, Luca, 2011. "Punish and Perish?," Economy and Society 115847, Fondazione Eni Enrico Mattei (FEEM).
  • Handle: RePEc:ags:feemso:115847
    DOI: 10.22004/ag.econ.115847
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/115847/files/NDL2011-064.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.115847?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
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Stefano Dughera & Alain Marciano, 2020. "Altruism, predation and the Samaritan's dilemma," Working Papers hal-02550432, HAL.
    2. Antoci, Angelo & Russu, Paolo & Zarri, Luca, 2014. "Tax evasion in a behaviorally heterogeneous society: An evolutionary analysis," Economic Modelling, Elsevier, vol. 42(C), pages 106-115.

    More about this item

    Keywords

    ;

    JEL classification:

    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • Z1 - Other Special Topics - - Cultural Economics

    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:ags:feemso:115847. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/feemmit.html .

    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.