The impact of memory reputation-induced tax and reward allocation on spatial public goods games

Xingping Sun, Haoran Zhu, Hongwei Kang, Yanzheng Bi, Yong Shen and Qingyi Chen

Chaos, Solitons & Fractals, 2025, vol. 195, issue C

Abstract: In spatial public goods games (SPGG), the use of rewards serves as an effective strategy to enhance cooperation among group members. In this scenario, the rewarder incurs a cost to incentivize altruistic behavior. However, many individuals who are willing to cooperate are unwilling to bear the cost of incentives and thus become second-order free-riders. To address this issue, we propose a tax allocation mechanism that levies a specific tax from all participants in the public goods games to subsidize the rewarders. The introduction of a reputation system can significantly elevate the level of cooperation among individuals within the framework. To further enhance cooperation, we suggest implementing a memory-based reputation allocation mechanism. This mechanism distributes taxes and rewards to group members based on the magnitude of individual reputations of the cooperators and the rewarders. Through comprehensive numerical analyses, we demonstrate that the memory-based allocation of taxes and rewards typically fosters an increase in cooperation levels within the system and clarifies the origins of the rewards, thereby rendering the model more realistic compared to traditional reward systems.

Keywords: Public goods game; Tax; Reward; Memory; Reputation (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S096007792500311X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:195:y:2025:i:c:s096007792500311x

DOI: 10.1016/j.chaos.2025.116298

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().