4.7 Article

Conditional cooperator enhances institutional punishment in public goods game

期刊

APPLIED MATHEMATICS AND COMPUTATION
卷 390, 期 -, 页码 -

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.amc.2020.125600

关键词

Public goods game; Reward; Punishment; Conditional cooperation

资金

  1. National Science Foundation of China [71771026 and71922004]

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Conditional cooperators play a significant role in public goods games, as they do not increase contribution levels but enhance the effectiveness of institutional punishment. This leads to a higher contribution rate in punishment scenarios compared to reward scenarios, demonstrating the robustness of this result in various decision-making settings.
The role of incentive institutions on promoting cooperation in public goods game (PGG) has attracted much attention. Theoretical studies based on Nash equilibrium analysis predict that the punishment effect is often stronger than the reward effect. Although this result is confirmed by empirical studies, subjects do not always play these rational strategies. Recent experiments indicate that most subjects in PGGs are conditional cooperators who tend to contribute the group average. In this paper, we consider PGGs with three types of subjects, namely, cooperators, defectors, and conditional cooperators. Evolutionary game method is applied to investigate how conditional cooperators affect the effectiveness of different types of incentives. Overall, having conditional cooperators cannot lead to a higher contribution level in the standard PGG or the PGG with institutional rewards. However, they can enhance the effectiveness of institutional punishment, where a high contribution level can be maintained even for small punishments. As a consequence, in PGGs with conditional cooperators, punishment always leads to a higher contribution rate than do rewards. Numerical analysis indicates that this result is robust to errors in decision making. (C) 2020 Elsevier Inc. All rights reserved.

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