Framing in multiple public goods games and donation to charities.

altruism cooperation evolutionary game theory experiments

Journal

Royal Society open science
ISSN: 2054-5703
Titre abrégé: R Soc Open Sci
Pays: England
ID NLM: 101647528

Informations de publication

Date de publication:
05 May 2021
Historique:
entrez: 26 5 2021
pubmed: 27 5 2021
medline: 27 5 2021
Statut: epublish

Résumé

The vast amount of research devoted to public goods games has shown that contributions may be dramatically affected by varying framing conditions. This is particularly relevant in the context of donations to charities and non-governmental organizations. Here, we design a multiple public goods experiment by introducing five types of funds, each differing in the fraction of the contribution that is donated to a charity. We found that people contribute more to public goods when the associated social donations are presented as indirect rather than as direct donations. At the same time, the fraction of the donations devoted to charity is not affected by the framing. We have also found that, on average, women contribute to public goods and donate to charity significantly more than men. These findings are of potential interest to the design of social investment tools, in particular for charities to ask for better institutional designs from policy makers.

Identifiants

pubmed: 34035947
doi: 10.1098/rsos.202117
pii: rsos202117
pmc: PMC8097214
doi:

Banques de données

figshare
['10.6084/m9.figshare.c.5407430']

Types de publication

Journal Article

Langues

eng

Pagination

202117

Informations de copyright

© 2021 The Authors.

Références

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Auteurs

F Maciel Cardoso (F)

Institute for Biocomputation and Physics of Complex Systems, Universidad de Zaragoza, Zaragoza, Spain.
Unidad Mixta Interdisciplinar de Comportamiento y Complejidad Social (UMICCS), Spain.

S Meloni (S)

Institute for Biocomputation and Physics of Complex Systems, Universidad de Zaragoza, Zaragoza, Spain.
IFISC, Institute for Cross-Disciplinary Physics and Complex Systems, Palma de Mallorca, Spain.

C Gracia-Lázaro (C)

Institute for Biocomputation and Physics of Complex Systems, Universidad de Zaragoza, Zaragoza, Spain.
Department of Theoretical Physics, Faculty of Sciences, Universidad de Zaragoza, Zaragoza, Spain.
Unidad Mixta Interdisciplinar de Comportamiento y Complejidad Social (UMICCS), Spain.

A Antonioni (A)

Interdisciplinary Group of Complex Systems (GISC), Department of Mathematics, Universidad Carlos III de Madrid, Spain.

J A Cuesta (JA)

Institute for Biocomputation and Physics of Complex Systems, Universidad de Zaragoza, Zaragoza, Spain.
Unidad Mixta Interdisciplinar de Comportamiento y Complejidad Social (UMICCS), Spain.
Interdisciplinary Group of Complex Systems (GISC), Department of Mathematics, Universidad Carlos III de Madrid, Spain.
UC3M Santander Institute of Big Data (IBiDat), Universidad Carlos III de Madrid, Leganés, Spain.

A Sánchez (A)

Institute for Biocomputation and Physics of Complex Systems, Universidad de Zaragoza, Zaragoza, Spain.
Unidad Mixta Interdisciplinar de Comportamiento y Complejidad Social (UMICCS), Spain.
Interdisciplinary Group of Complex Systems (GISC), Department of Mathematics, Universidad Carlos III de Madrid, Spain.
UC3M Santander Institute of Big Data (IBiDat), Universidad Carlos III de Madrid, Leganés, Spain.

Y Moreno (Y)

Institute for Biocomputation and Physics of Complex Systems, Universidad de Zaragoza, Zaragoza, Spain.
Department of Theoretical Physics, Faculty of Sciences, Universidad de Zaragoza, Zaragoza, Spain.
Unidad Mixta Interdisciplinar de Comportamiento y Complejidad Social (UMICCS), Spain.
ISI Foundation, Turin, Italy.

Classifications MeSH