Supervised tax compliance and evasion from a spatial evolutionary game perspective
Qin Li, Ting Ling, Minyu Feng, Attila Szolnoki

TL;DR
This paper models tax compliance and evasion using a spatial evolutionary game on interdependent networks, revealing how penalties, salaries, and corruption influence compliance and regulator fairness.
Contribution
It introduces a novel interdependent network model combining citizens and regulators in a public goods game framework with complex dynamics.
Findings
Strengthening penalties reduces tax evasion effectively.
Bribery has a nonlinear impact on compliance and regulator fairness.
Higher salaries and crackdown efforts promote fair regulators and decrease evasion.
Abstract
Taxation constitutes a fundamental component of modern national economic systems, exerting profound impacts on both societal functioning and governmental operations. In this paper, we employ an interdependent network approach to model the coevolution between citizens and regulators within a taxation system that fundamentally constitutes a public goods game framework with complex interactive dynamics. In a game layer, citizens engage in public goods games, facing the social dilemma of tax compliance (cooperation) versus evasion (defection). Tax compliance supports the sustainability of public finances while tax evasion presents markedly stronger short-term incentives. In a regulatory layer, fair regulators punish tax evaders, while corrupt regulators keep silent due to bribes. Governmental regulatory interventions introduce critical institutional constraints that alter the traditional…
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