利用基于代理的模型分析公开披露对税收遵从的影响

IF 0.8 4区 经济学 Q3 ECONOMICS
Hiroyuki Sano
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引用次数: 0

摘要

本研究利用基于代理建模的模拟实验,探讨了公开披露税务信息对纳税遵从的影响。我们研究了两种情况:(i) 部分公开,即公开纳税申报单和审计结果,但不公开纳税人身份;(ii) 完全公开,即公开纳税人身份。我们的模拟结果显示,在部分公开的情况下,对纳税遵从度的影响取决于个人纳税道德价值观的社会状态。具体来说,当纳税人的道德意识相对较强时,部分信息公开会对纳税遵从度产生积极影响;而当纳税人的道德意识较弱时,部分信息公开则会对纳税遵从度产生消极影响。在完全公开的情况下,当民众的道德意识足够薄弱时,尽管点名羞辱政策对纳税遵从有积极影响,但平均申报收入却会减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Impacts of public disclosure on tax compliance using agent-based modeling

Impacts of public disclosure on tax compliance using agent-based modeling

This study examines the impact of public disclosure of tax information on tax compliance using simulation experiments utilizing agent-based modeling. We investigate two scenarios: (i) partial disclosure, in which tax returns and audit results are made public without taxpayer identities, and (ii) full disclosure, in which this information is publicized with taxpayer identities. Our simulation results reveal that in the partial disclosure scenario, the effect on tax compliance is contingent upon the social state of individual moral values regarding tax payment. Specifically, partial disclosure has a positive impact on tax compliance when taxpayers exhibit a relatively strong moral consciousness and a negative impact when their moral consciousness is weak. In the full disclosure scenario, when the moral consciousness of the population is sufficiently weak, the average reported income decreases despite the positive effect of the naming-and-shaming policy on tax compliance.

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来源期刊
CiteScore
2.20
自引率
18.20%
发文量
33
期刊介绍: Journal of Economic Interaction and Coordination addresses the vibrant and interdisciplinary field of agent-based approaches to economics and social sciences. It focuses on simulating and synthesizing emergent phenomena and collective behavior in order to understand economic and social systems. Relevant topics include, but are not limited to, the following: markets as complex adaptive systems, multi-agents in economics, artificial markets with heterogeneous agents, financial markets with heterogeneous agents, theory and simulation of agent-based models, adaptive agents with artificial intelligence, interacting particle systems in economics, social and complex networks, econophysics, non-linear economic dynamics, evolutionary games, market mechanisms in distributed computing systems, experimental economics, collective decisions. Contributions are mostly from economics, physics, computer science and related fields and are typically based on sound theoretical models and supported by experimental validation. Survey papers are also welcome. Journal of Economic Interaction and Coordination is the official journal of the Association of Economic Science with Heterogeneous Interacting Agents. Officially cited as: J Econ Interact Coord
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