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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 9, 2022.
Abstract: Today the growing level of automation and the new concept of online technologies are transforming the traditional industry. Value is generated with the help of Industry 4.0 technologies that not only increase the efficiency and agility of supply chains, create new products and offer new ways of connecting businesses and consumers but also have a major impact on the traditional tax system. This study aims at determining changes in the modern industrial economy and substantiating possible directions for transforming the tax system to adapt it to the requirements of Industry 4.0. The objective is to identify the relationship between the digitalization of the economy, the use of blockchain technologies, robotics, automation, M2M technologies offered by Industry 4.0, and taxation. The article demonstrates how these technologies influence taxes and proposes measures to address possible tax issues. The authors of the article have concluded that the reasons (and goals) for transforming the current tax system as a result of the development of Industry 4.0 technologies are as follows: 1) to increase or stabilize tax revenues to compensate for tax losses and finance new education needs; 2) to introduce innovations for the development of Industry 4.0 and further digitalization of the economy; 3) to create an automatic tax administration system.
Pavel Victorovich Stroev, Rafael Valiakhmetovich Fattakhov, Olga Vladimirovna Pivovarova, Sergey Leonidovich Orlov and Alena Stanislavovna Advokatova, “Taxation Transformation under the Influence of Industry 4.0” International Journal of Advanced Computer Science and Applications(IJACSA), 13(9), 2022. http://dx.doi.org/10.14569/IJACSA.2022.01309116
@article{Stroev2022,
title = {Taxation Transformation under the Influence of Industry 4.0},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.01309116},
url = {http://dx.doi.org/10.14569/IJACSA.2022.01309116},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {9},
author = {Pavel Victorovich Stroev and Rafael Valiakhmetovich Fattakhov and Olga Vladimirovna Pivovarova and Sergey Leonidovich Orlov and Alena Stanislavovna Advokatova}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.