Revenue-feedback and the institutional governance of global risky commons

The mitigation of the adverse effects of global warming poses the most pressing challenge concerning the sustainable governance of global risky commons (GRC)-global commons under risk of collapse. The collective risk dilemma (CRD) provides a convenient game-theoretical model to address key features of GRC, by framing the problem as one of cooperation. Here we employ the CRD to assess the relative effectiveness of both local, bottom-up and global, top-down (inspired) institutional designs and policies to solve GRC. To this end, we set up a framework in which institutions (local and global) are endogenously created and may apply rewards and impose sanctions based on endogenously generated resources. We find a new institutional paradigm, revenue-feedback (RF), that leads to sizeable improvements in the governance of GRC both at the local and global levels. Implementing RF implies employing the revenue from sanctions imposed on anti-social individuals to reward pro-social individuals. RF does not incur additional organizational costs compared to other existing policies while engaging all actors simultaneously in the policy process. The best results are obtained combining RF with the electoral model recently developed and with institutions are created at a local scale, in which case they prevail.

Authors

Institutions

Publication Details

Journal
Journal of The Royal Society Interface
Published
2026-08-26
DOI
https://doi.org/10.1098/rsif.2026.0508
Primary Topic
Experimental Behavioral Economics Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Revenue-feedback and the institutional governance of global risky commons

Elias Fernández Domingos, Jorge M. Pacheco, Carlos M. Garrido
Journal of The Royal Society Interface
Experimental Behavioral Economics Studies
article

Revenue-feedback and the institutional governance of global risky commons

Elias Fernández Domingos, Jorge M. Pacheco, Carlos M. Garrido
article en

Abstract

The mitigation of the adverse effects of global warming poses the most pressing challenge concerning the sustainable governance of global risky commons (GRC)-global commons under risk of collapse. The collective risk dilemma (CRD) provides a convenient game-theoretical model to address key features of GRC, by framing the problem as one of cooperation. Here we employ the CRD to assess the relative effectiveness of both local, bottom-up and global, top-down (inspired) institutional designs and policies to solve GRC. To this end, we set up a framework in which institutions (local and global) are endogenously created and may apply rewards and impose sanctions based on endogenously generated resources. We find a new institutional paradigm, revenue-feedback (RF), that leads to sizeable improvements in the governance of GRC both at the local and global levels. Implementing RF implies employing the revenue from sanctions imposed on anti-social individuals to reward pro-social individuals. RF does not incur additional organizational costs compared to other existing policies while engaging all actors simultaneously in the policy process. The best results are obtained combining RF with the electoral model recently developed and with institutions are created at a local scale, in which case they prevail.

Journal of The Royal Society InterfaceVol. 23(241)
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento (PT), Université Libre de Bruxelles (BE), Vrije Universiteit Brussel (BE)
Openalex Percentile: Top 6%
Experimental Behavioral Economics Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Revenue-feedback and the institutional governance of global risky commons — Elias Fernández Domingos, Jorge M. Pacheco, et al. · Journal of The Royal Society Interface (2026) | TGRS Research Map | TGRS