Preview

Finance: Theory and Practice

Advanced search

Effectiveness of Tax Benefits for Information Technology Organizations in Russia

https://doi.org/10.26794/2587-5671-2024-28-2-71-81

Abstract

The subject of the study is a set of measures of tax incentives for the information technology industry in the Russian Federation — “tax maneuver in IT”, launched from the beginning of 2021. The purpose of the study is to identify and qualitatively assess the stimulating effect of the tax maneuver in IT, which is expressed in changes in key financial and natural performance indicators of IT industry organizations, and to develop proposals on ways of tax incentives for the development of the industry. The article describes the distortion of the aggregate tax reporting characterizing the IT industry, which takes into account not only recently established IT organizations, but also “nominal” separates from large organizations IT subdivisions or technically clarified classification code, making it inappropriate to use such reporting as a basis for analysis and reliable conclusions. Based on the data of the public financial statements of selected sample from the top-100 Russian IT organizations, the article analyzes the dynamics of financial indicators of their activities, among which are the profiles of profiles, operating profit, net profit, investment in basic assets, the number of staff, the amount of products supplied for export, the capitalization of the company. The observation was conducted for 2017– 2022 and covers the periods both before and during the engagement of tax benefits. A comparative study was carried out with similar indicators of the organizations of the “control group”, which included IT companies operating in other countries that were not affected by such tax benefits. According to the results of the study, small or no extra growth was observed in key financial indicators of IT organizations due to the tax maneuver compared with the “pre-maneuver” period and compared with the indicators of the control group. It is concluded that there is no evidence of a significant impact of the tax maneuver on the development of the IT industry in Russia. We proposed dismantling of the “maneuver” and transition, based on the Chinese and some EU countries approaches, to taxation of the qualified profit. The latter is the profit of Russian and foreign IT developers from the localization of IT development and value creation in Russia. The achievable effective rate is 2.5%.

About the Authors

I. V. Kolotovkin
Rock Flow Dynamics
Russian Federation

Igor V. Kolotovkin — Chief Financial Officer of Rock Flow Dynamics LLC, PhD student at the Financial University.

Moscow


Competing Interests:

The authors have no conflicts of interest to declare. 



L. V. Polezharova
Financial University
Russian Federation

Lyudmila V. Polezharova — Dr. Sci (Econ.), Prof., Department of Taxes and Tax Administration of the Faculty of Taxes, Audit and Business Analysis, Financial University.

Moscow


Competing Interests:

The authors have no conflicts of interest to declare. 



References

1. Milogolov N. S., Ponomareva K. A. Taxation of business models with a high digitalization level: A search for consensus on international and national levels. Nalogi = Taxes. 2020;(4):40–44. (In Russ.). DOI: 10.18572/1999–4796–2020–4–40–44

2. Polezharova L. V. Development of basic methods of international taxation in the context of digital transformation of the economy. Ekonomika. Nalogi. Pravo = Economics, Taxes & Law. 2020;13(4):130–139. (In Russ.). DOI: 10.26794/1999–849X-2020–13–4–130–139

3. Vikhrova N. O., Stotsky E.V. Modern methods of innovation activity stimulation: “Patent box” and “tax credit”. Sovremennaya ekonomika: problemy i resheniya = Modern Economics: Problems and Solutions. 2020;(8):109–116. DOI: 10.17308/meps.2020.8/2415

4. Canto V.A., Joines D. H., Laffer A. B. Tax rates, factor employment, and market production. In: Meyer L. H., ed. The supply-side effects of economic policy. Dordrecht: Springer-Verlag; 1981:3–32. (Economic Policy Conference Series. Vol. 1). DOI: 10.1007/978–94–009–8174–4_1

5. Atkinson R. D. Expanding the R&E tax credit to drive innovation, competitiveness and prosperity. The Journal of Technology Transfer. 2007;32(6):617–628. DOI: 10.1007/s10961–007–9046-y

6. Saez E., Slemrod J., Giertz S. H. The elasticity of taxable income with respect to marginal tax rates: A critical review. Journal of Economic Literature. 2012;50(1):3–50. DOI: 10.1257/jel.50.1.3

7. Alinaghi N., Reed W. R. Taxes and economic growth in OECD countries: A meta-analysis. Public Finance Review. 2020;49(1):3–40. DOI: 10.1177/1091142120961775

8. Goncharenko L. I., Vishnevskaya N. G. Tax incentives for innovative development of industrial production on the basis of foreign best practices analysis. Ekonomika. Nalogi. Pravo = Economics, Taxes & Law. 2019;12(4):121–131. (In Russ.). DOI: 10.26794/1999–849X-2019–12–4–121–131

9. Mandroshchenko O. V. Tax instruments in the implementation of the investment policy of the regions. Moscow: Dashkov & Co.; 2021. 232 p. (In Russ.).

10. Balatsky E. V., Ekimova N. A. Evaluation of Russian economic sectors’ sensitivity tax burden. Journal of Tax Reform. 2020;6(2):157–179. DOI: 10.15826/jtr.2020.6.2.080

11. Gurnak A. V., Nazarova N. A. Tax stimulation of economic growth in Russia: Problems and prospects. Nalogi i nalogooblozhenie = Taxes and Taxation. 2023;(1):1–16. (In Russ.). DOI: 10.7256/2454–065X.2023.1.39483

12. Ryakhovsky D.I., Balakin M. S. Analysis of the impact of the tax burden on economic growth: Theoretical and empirical aspects. Ekonomika ustoichivogo razvitiya = Economics of Sustainable Development. 2022;(3):119–122. (In Russ.). DOI: 10.37124/20799136_2022_3_51_119

13. Turbina N. M., Kosenkova Yu. Yu. Tax burden as indicator of effectiveness of tax policy of Russia. Sotsial’no-ekonomicheskie yavleniya i protsessy = Social and Economic Phenomena and Processes. 2017;12(2):154–159. (In Russ.). DOI: 10.20310/1819–8813–2017–12–2–154–159

14. Kakaulina M. O. Assessment and analysis of the fiscal burden in the Russian Federation: An industry aspect. Vestnik Tomskogo gosudarstvennogo universiteta. Ekonomika = Tomsk State University. Journal of Economics. 2019;(46):189–205. (In Russ.). DOI: 10.17223/19988648/46/13

15. Gromov V. V. Favorable tax treatment of Russian software companies and its evolution from the choice of preferences to the tax maneuver in IT industry. Finansovyi zhurnal = Financial Journal. 2022;14(3):9–27. (In Russ.). DOI: 10.31107/2075–1990–2022–3–9–27

16. Avdeeva V. M. Tax incentives to encourage the implementation of digital innovations. Nalogi i nalogooblozhenie = Taxes and Taxation. 2021;(6):1–11. (In Russ.). DOI: 10.7256/2454–065X.2021.6.37129

17. Wang L., Rousek P., Hašková S. Laffer curve — a comparative study across the V4 (Visegrad) countries. Entrepreneurship and Sustainability Issues. 2021;9(2):433–445. DOI: 10.9770/jesi.2021.9.2(28)

18. Yudin A. E. Assessment of the impact of the tax maneuver in the IT industry on tax revenue indicators. Nalogovaya politika i praktika. 2022;(5):46–49. (In Russ.).

19. Panskov V. G. New depreciation policy as a tool of tax regulation. Ekonomika i upravlenie: problemy, resheniya = Economics and Management: Problems, Solutions. 2021;4(4):35–41. (In Russ.). DOI: 10.36871/ek.up.pr2021.04.04.007

20. Vishnevsky V. P., Goncharenko L. I., Nikulkina I. V., Gurnak A. V. Taxes and technologies: Past, present and future of the Russian tax system. Terra Economicus. 2020;18(4):6–31. (In Russ.). DOI: 10.18522/2073–6606–2020–18–4–6–31

21. Panskov V. G. Priorities of tax policy and directions of reforming the Russian tax system. ETAP: ekonomicheskaya teoriya, analiz, praktika = ETAP: Economic Theory, Analysis, and Practice. 2022;(1):57–76. (In Russ.). DOI: 10.24412/2071–6435–2022–1–57–76


Review

For citations:


Kolotovkin I.V., Polezharova L.V. Effectiveness of Tax Benefits for Information Technology Organizations in Russia. Finance: Theory and Practice. 2024;28(2):71-81. https://doi.org/10.26794/2587-5671-2024-28-2-71-81

Views: 412


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2587-5671 (Print)
ISSN 2587-7089 (Online)