+7 925 966 4690, 9am6pm (GMT+3), Monday – Friday
ИД «Финансы и кредит»

JOURNALS

  

FOR AUTHORS

  

SUBSCRIBE

    
Finance and Credit
 

Risk assessment of the activities of IT organizations applying the general and simplified taxation systems

Vol. 30, Iss. 11, NOVEMBER 2024

Received: 27 June 2024

Received in revised form: 11 July 2024

Accepted: 25 July 2024

Available online: 29 November 2024

Subject Heading: FISCAL SYSTEM

JEL Classification: Н26, Н32, L63, R51

Pages: 2450-2465

https://doi.org/10.24891/fc.30.11.2450

Dmitrii G. RODIONOV Higher School of Engineering and Economics, Institute of Industrial Management, Economics and Trade, Peter the Great St. Petersburg Polytechnic University (SPbPU), St. Petersburg, Russian Federation
drodionov@spbstu.ru

https://orcid.org/0000-0002-1254-0464

Natal'ya G. VIKTOROVA Higher School of Engineering and Economics, Institute of Industrial Management, Economics and Trade, Peter the Great St. Petersburg Polytechnic University (SPbPU), St. Petersburg, Russian Federation
viktorova_ng@spbstu.ru

https://orcid.org/0000-0002-7355-3541

Elena S. VYLKOVA North-West Institute of Management, Russian Presidential Academy of National Economy and Public Administration (RANEPA), St. Petersburg, Russian Federation
vylkovaelena@mail.ru

https://orcid.org/0000-0002-3736-9683

Vladimir N. NAUMOV North-West Institute of Management, Russian Presidential Academy of National Economy and Public Administration (RANEPA), St. Petersburg, Russian Federation
naumov-vn@ranepa.ru

https://orcid.org/0000-0002-0385-3530

Natal'ya V. POKROVSKAYA Saint-Petersburg State University (SPbSU), St. Petersburg, Russian Federation
n.pokrovskaia@spbu.ru

https://orcid.org/0000-0002-8314-9470

Subject. The article discusses tax incentives for IT business by the State through general and simplified taxation system, and considers business risk in these two situations.
Objectives. The purpose of the study is to analyze and evaluate the impact of tax indicators of the tax properties of IT organizations on due diligence, when applying general and simplified taxation regimes.
Methods. We analyzed information on the activities in 2021 of 304 IT organizations registered in the Tyumen Oblast, based on data from the SPARK-Interfax system. Analyzed indicators: applicable tax regime; revenue; net profit; amount of taxes paid; return on sales; profit before taxation and interest payments; tax burden; due diligence index. The study was conducted with RStudio in the following sequence: characteristics of organizations; descriptive statistics of the due diligence index of organizations applying the general (GTS) and simplified taxation system (STS); correlation analysis of the listed indicators.
Results. For organizations using the STS, the due diligence index has a positive relationship with tax burden, and for those using the GTS, this relationship is reversed. Preferential tax regime does not fully create a favorable environment for IT business, and for GTS, the question of the legality of reducing the tax burden arises.
Conclusions. The findings demonstrated the importance of tax management and the need to update the federal and regional policy of tax incentives for IT organizations.

Keywords: IT-organization, general taxation system, tax benefits, simplified taxation system, tax risk

References:

  1. Alfer'ev D.A., Rodionov D.G. [Modeling scenarios for the dynamics of IT industry development indicators using elementary mathematical functions]. Ekonomika. Informatika, 2020, vol. 47, no. 4, pp. 729–746. URL: Link (In Russ.)
  2. Diller M., Späth T., Lorenz J. Inheritance tax planning with uncertain future payroll expenses: An analytical solution to the optimal choice between full and standard exemption. Journal of Business Economics, 2019, vol. 89, pp. 599–626. URL: Link
  3. Angelopoulos K., Asimakopoulos S., Malley J. The optimal distribution of the tax burden over the business cycle. Macroeconomic Dynamics, 2019, vol. 23, iss. 6, pp. 2298–2337. URL: Link
  4. Mascagni G., Mengistu A. Effective tax rates and firm size in Ethiopia. Development Policy Review, 2019, vol. 37, iss. S2, pp. 248–273. URL: Link
  5. Ashurov T.Sh., Abdurakhmanova N.N., Azizov E.R. [Tax burden as an indicator of the efficiency of the Russian tax system]. Ekonomika i predprinimatel'stvo = Journal of Economy and Entrepreneurship, 2023, no. 9, pp. 673–676. (In Russ.) URL: Link
  6. Dang D., Fang H., He M. Economic policy uncertainty, tax quotas and corporate tax burden: Evidence from China. China Economic Review, 2019, vol. 56, 101303. URL: Link
  7. Liu C., Mikesell J.L. Corruption and tax structure in American States. American Review of Public Administration, 2019, vol. 49, iss. 5, pp. 585–600. URL: Link
  8. Bazgan, R. Fiscal management on revenue-based or expenditure-based adjustments: An empirical evidence from EU-countries. Management and Marketing, 2019, vol. 14, iss. 1, pp. 163–175. URL: Link
  9. MacKenzie T.A., Houle J., Jiang S., Onega T. Middle-aged death and taxes in the USA: Association of State tax burden and expenditures in 2005 with survival from 2006 to 2015. PLoS ONE, 2019, vol. 14, iss. 4. URL: Link
  10. Sánchez-Ballesta J.P., Yagüe J. Tax avoidance and the cost of debt for SMEs: Evidence from Spain. Journal of Contemporary Accounting & Economics, 2023, vol. 19, iss. 2, 100362. URL: Link
  11. Falavigna G., Ippoliti R. SMEs’ behavior under financial constraints: An empirical investigation on the legal environment and the substitution effect with tax arrears. The North American Journal of Economics and Finance, 2023, vol. 66, 101903. URL: Link
  12. Chen W., Jin R. Does tax uncertainty affect firm innovation speed? Technovation, 2023, vol. 125, 102771. URL: Link
  13. Koštuříková I., Chobotová M. New Trends in Intellectual Property and Tax Burden of Innovative Corporations. Procedia – Social and Behavioral Sciences, 2014, vol. 110, pp. 93–102. URL: Link
  14. Wan Q., Chen J., Yao Z., Yuan L. Preferential tax policy and R&D personnel flow for technological innovation efficiency of China's high-tech industry in an emerging economy. Technological Forecasting and Social Change, 2022, vol. 174, 121228. URL: Link
  15. Ghazinoory S., Hashemi Z. Do tax incentives and direct funding enhance innovation input and output in high-tech firms? The Journal of High Technology Management Research, 2021, vol. 32, iss. 1, 100394. URL: Link
  16. Aleksandrova Zh.P., Cholakhyan A.R., Budanok A.R. [Provision of State support for the IT industry under conditions of foreign economic limitations]. Ekonomika: vchera, segodnya, zavtra = Economics: Yesterday, Today, Tomorrow, 2023, vol. 13, no. 6-1, pp. 170–176. (In Russ.)
  17. Kurganova I.A., Leonova T.M. [Peculiarities of taxation of companies in the IT industry]. Flagman nauki, 2023, no. 11, pp. 561–563. (In Russ.)
  18. Derbeneva V.V. [Tax measures to support the IT sector under sanctions as a condition for innovative development of territories]. Vestnik Akademii znanii = Bulletin of the Academy of Knowledge, 2022, no. 52, pp. 358–364. URL: Link (In Russ.)
  19. Gromov V.V. [Features and problems of tax incentives for small software companies in Russia]. Finansovyi zhurnal = Financial Journal, 2022, vol. 14, no. 1, pp. 8–25. URL: Link (In Russ.)
  20. Vylkova E.S., Viktorova N.G., Naumov V.N., Pokrovskaya N.V. [Tax clusterization of regions of the Russian Federation to identify territories-drivers of sustainable development]. Vestnik Tomskogo gosudarstvennogo universiteta. Ekonomika = Tomsk State University Journal of Economics, 2021, no. 53, pp. 138–157. URL: Link (In Russ.)
  21. Zhang Y., Song Y. Tax rebates, technological innovation and sustainable development: Evidence from Chinese micro-level data. Technological Forecasting and Social Change, 2022, vol. 176, 121481. URL: Link

View all articles of issue

 

ISSN 2311-8709 (Online)
ISSN 2071-4688 (Print)

Journal current issue

Vol. 30, Iss. 11
November 2024

Archive