累进所得税及其新兴增长效应:复杂系统方法

IF 4.5 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS IEEE Transactions on Computational Social Systems Pub Date : 2024-07-18 DOI:10.1109/TCSS.2024.3418625
Emiliano Alvarez;Marcelo Álvez;Juan Gabriel Brida
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引用次数: 0

摘要

在本文中,我们运用基于代理人的存量流量一致模型(AB-SFC)来分析在对个人收入征收比例税和累进税等不同税种时的经济增长差异。我们采用了区分两部分收入的所得税设计。我们在所得税方案中提供了一个尚未探索的特征,为基于宏观代理模型的著名文献做出了贡献。我们的主要发现是,这种税收设计似乎可以通过对低收入家庭的免税来抵消不平等,但似乎对中高收入家庭之间产生的不平等影响有限。值得注意的是,我们没有发现累进所得税取代比例所得税会导致经济增长恶化的证据。因此,本文提出了一种方案,即改变税制会减少不平等,但不会阻碍经济增长。这一结果对政策具有重要意义。
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Progressive Income Tax and Its Emerging Growth Effects: A Complex System Approach
In this article, we apply an agent-based stock-flow consistent model (AB-SFC) to analyze economic growth differences when establishing different types of taxes on personal income: proportional and progressive. We use an income tax design that distinguishes between two sections of income. We contribute to the prominent literature on macro agent-based models by providing an unexplored feature in the income tax scheme. Our main findings are that this tax design seems to offset the inequality through tax exemption for low-income households but seems to have a limited impact on inequality generated between middle and high-income households. Notably, we did not find evidence of a deterioration in economic growth in the presence of a progressive income tax instead of a proportional one. Therefore, this article proposes a scenario where changing the tax scheme reduces inequality without hampering growth. This result has important implications for policy.
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来源期刊
IEEE Transactions on Computational Social Systems
IEEE Transactions on Computational Social Systems Social Sciences-Social Sciences (miscellaneous)
CiteScore
10.00
自引率
20.00%
发文量
316
期刊介绍: IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. "Systems" include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, the proposed transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The journal also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications.
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