Governance of risky public goods under graduated punishment.

Climate action Cooperation Evolutionary dynamics Game theory Institutions Stochastic processes

Journal

Journal of theoretical biology
ISSN: 1095-8541
Titre abrégé: J Theor Biol
Pays: England
ID NLM: 0376342

Informations de publication

Date de publication:
21 11 2020
Historique:
received: 31 03 2020
revised: 16 07 2020
accepted: 20 07 2020
pubmed: 30 7 2020
medline: 22 6 2021
entrez: 30 7 2020
Statut: ppublish

Résumé

Ensuring global cooperation often poses governance problems shadowed by the tragedy of the commons, as wrong-doers enjoy the benefits set up by right-doers at no cost. Institutional punishment of wrong-doers is well-known to curtail their impetus as free-riders. However, institutions often have limited scope in imposing sanctions, more so when these are strict and potentially viewed as disproportionate. Inspired by the design principles proposed by the late Nobel Prize Elinor Ostrom, here we study the evolution and impact of a new form of institutional sanctioning, where punishment is graduated, growing with the incidence of free-riding. We develop an analytical model capable of identifying the conditions under which this design principle is conducive to the self-organization of stable institutions and cooperation. We employ evolutionary game theory in finite populations and non-linear public goods dilemmas in the presence of risk of global losses whose solution requires the self-organization of decision makers into an overall cooperative state. We show that graduated punishment is more effective in promoting widespread cooperation than conventional forms of punishment studied to date, being also less severe and thus, presumably, easier to implement. This effect is enhanced whenever the costs of its implementation are positively correlated with the severity of punishment. We frame our model within the context of the global reduction of carbon emissions, but the results are shown to be general enough to be applicable to other collective action problems, shedding further light into the origins of Human institutions.

Identifiants

pubmed: 32726648
pii: S0022-5193(20)30278-2
doi: 10.1016/j.jtbi.2020.110423
pii:
doi:

Substances chimiques

Carbon 7440-44-0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

110423

Informations de copyright

Copyright © 2020. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Marta C Couto (MC)

INESC-ID & Instituto Superior Técnico, Universidade de Lisboa, 2744-016 Porto Salvo, Portugal; ATP-group, P-2744-016 Porto Salvo, Portugal.

Jorge M Pacheco (JM)

ATP-group, P-2744-016 Porto Salvo, Portugal; Centro de Biologia Molecular e Ambiental da Universidade do Minho, 4710-057 Braga, Portugal; Departamento de Matemática Aplicações da Universidade do Minho, 4710-057 Braga, Portugal.

Francisco C Santos (FC)

INESC-ID & Instituto Superior Técnico, Universidade de Lisboa, 2744-016 Porto Salvo, Portugal; ATP-group, P-2744-016 Porto Salvo, Portugal. Electronic address: franciscocsantos@tecnico.ulisboa.pt.

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Classifications MeSH