{"title":"Enhancement of cooperation induced by taxation mechanism with progressive tax rates in spatial public goods games","authors":"Lihui Shang, Mingjian Hu","doi":"10.1016/j.chaos.2025.116810","DOIUrl":null,"url":null,"abstract":"<div><div>Taxation mechanism functions as a potent regulatory tool to impact economic activity and income distribution through the adjustment of tax rates and policies. In this paper, a three-tiered tax structure with progressive tax rates is proposed to the spatial public goods game, in which players' taxes are collected at varying tax rates based on the payoffs within different ranges. And a preferential measure is implemented to alleviate the tax burden on cooperators and incentivize them to make contribution. Through investigating the different combinations of tax rates, it reveals that imposing high taxes on the middle-income players fosters the emergence of cooperation and heavy taxes on the high-income players is instrumental in achieving full cooperation. However, oppressive taxation is not optimal for individual benefit as payoff is negatively impacted by the burden. To achieve full cooperation and high payoff in the case of weak synergy effect, it is advisable to levy light taxes on the middle-income and heavy taxes on the high-income. Finally, tax redistribution is studied and two schemes are applied to the taxation mechanism, finding that the local distribution can foster the evolution of cooperation more effectively than the global one, and the latter achieves a comparable promotion effect as the mechanism without tax redistribution.</div></div>","PeriodicalId":9764,"journal":{"name":"Chaos Solitons & Fractals","volume":"199 ","pages":"Article 116810"},"PeriodicalIF":5.3000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chaos Solitons & Fractals","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0960077925008239","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Taxation mechanism functions as a potent regulatory tool to impact economic activity and income distribution through the adjustment of tax rates and policies. In this paper, a three-tiered tax structure with progressive tax rates is proposed to the spatial public goods game, in which players' taxes are collected at varying tax rates based on the payoffs within different ranges. And a preferential measure is implemented to alleviate the tax burden on cooperators and incentivize them to make contribution. Through investigating the different combinations of tax rates, it reveals that imposing high taxes on the middle-income players fosters the emergence of cooperation and heavy taxes on the high-income players is instrumental in achieving full cooperation. However, oppressive taxation is not optimal for individual benefit as payoff is negatively impacted by the burden. To achieve full cooperation and high payoff in the case of weak synergy effect, it is advisable to levy light taxes on the middle-income and heavy taxes on the high-income. Finally, tax redistribution is studied and two schemes are applied to the taxation mechanism, finding that the local distribution can foster the evolution of cooperation more effectively than the global one, and the latter achieves a comparable promotion effect as the mechanism without tax redistribution.
期刊介绍:
Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.