Assessing the impact of costly punishment and group size in collective-risk climate dilemmas
Luo-Luo Jiang, Zhen Wang, Chang-Song Zhou, Jurgen Kurths, and Yamir, Moreno

TL;DR
This study investigates how costly punishment and group size influence collective efforts to prevent climate catastrophe in a lab setting, revealing that higher punishment risk improves success and larger groups require higher punishment to succeed.
Contribution
It provides experimental evidence on the effects of punishment and group size in climate-related public goods dilemmas, informing policy strategies.
Findings
Higher punishment risk increases success rates.
Larger groups need higher punishment risk for success.
Results are robust across different group sizes.
Abstract
The mitigation of the effects of climate change on humankind is one of the most pressing and important collective governance problems nowadays. To explore different solutions and scenarios, previous works have framed this problem into a Public Goods Game (PGG), where a dilemma between short-term interests and long-term sustainability arises. In such a context, subjects are placed in groups and play a PGG with the aim of avoiding dangerous climate change impact. Here we report on a lab experiment designed to explore two important ingredients: costly punishment to free-riders and group size. Our results show that for high punishment risk, more groups succeed in achieving the global target, this finding being robust against group size. Interestingly enough, we also find a non-trivial effect of the size of the groups: the larger the size of the groups facing the dilemmas,…
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Taxonomy
TopicsExperimental Behavioral Economics Studies · Evolutionary Game Theory and Cooperation · Decision-Making and Behavioral Economics
