Digital Tech Integration into the Tax Control System While Maintaining Consistency with the Tax Policy Principles

This paper provides a theoretical and methodological basis for aligning digital tax control technologies with tax policy principles in Russia and Tajikistan. This study’s value and innovation stem from tax control’s digital shift and linking tech to tax system principles. The object of the study is tax relations and tax administration practices in the digital transformation of public administration in the Russian Federation and the Republic of Tajikistan. The subject of the study is the theoretical and methodological foundations for aligning digital tax control technologies, such as big data, AI, distributed ledgers, the Industrial Internet of Things, and analytical platforms, with the fundamental principles of state tax policy. The research aims to develop the conceptual contours of the theoretical and methodological study and a mechanism for aligning digital tools and tax policy principles, as well as to identify the institutional, legal, axiological, and process conditions that determine the feasibility and limits of integrating digital control tools into the tax systems of Russia and Tajikistan. The study employed abstract and conceptual analysis, a source review and synthesis, theoretical modeling, and generic scientific methods. The author focused on analyzing and assessing digital tools’ compliance with legal, neutral, transparent, predictable, efficient, and fiscally sustainable principles. The work’s finding is a conclusion: there are methodological limitations in the digitalization of tax control. The author presented a conceptual system, highlighted research areas, and called for framework development. This study covers boosting strategic digital tax solutions, tax policies, the digital transformation of tax authorities, and digital tax control systems.

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