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Techniques for Compiling Input-Output Tables to Measure the Impact of the Digital Economy in Russia
https://doi.org/10.34023/2313-6383-2025-32-1-27-39
Abstract
As global digital transformation unfolds, analyzing the effects of digital technologies on economics is increasingly important. The choice of better methods and tools for assessing the contribution of digitalization requires further in-depth research. This paper focuses on developing a methodology for measuring the following key indicators of the digital economy, such as development level, dynamics, and linkages between sectors in the context of structural changes in production and consumption at the industry level. The basis of the proposed solution lies in using matrices of coefficients of direct and full material costs obtained based on the Input-Output tables.
Using the data from 2016 to 2020 for the Russian Federation, the authors conducted calculations and identified the economic activities most affected by digital transformation. The developed methodology makes it possible to measure the contribution of the digital economy based on the inter-industry balance, identify key sectors, and propose measures to stimulate digitalization processes. The results of the study can inform managerial decision-making at the country, regional, and industry levels. Open data from the Federal State Statistics Service (Rosstat) served as the information basis of the study.
About the Authors
V. V. Glinskiy
Novosibirsk State University of Economics and Management;
Siberian Institute of Management – Branch of RANEPA
Russian Federation
Russian Federation
Vladimir V. Glinskiy – Dr. Sci. (Econ.), Professor; Professor, Department of Statistics, Novosibirsk State University of Economics and Management (NSUEM); Head, Research Laboratory «Sustainable Development of Social and Economic Systems», Siberian Institute of Management – Branch of RANEPA.
56, Kamenskaya Str., Novosibirsk, 630099;
6, Nizhegorodskaya Str., Novosibirsk, 630102
L. K. Serga
Novosibirsk State University of Economics and Management;
Siberian Institute of Management – Branch of RANEPA
Russian Federation
Russian Federation
Lyudmila K. Serga – Cand. Sci. (Econ.), Associate Professor; Associate Professor, Department of Statistics, Novosibirsk State University of Economics and Management (NSUEM); Head, Department of Business Analytics, Accounting and Statistics, Siberian Institute of Management – Branch of RANEPA.
56, Kamenskaya Str., Novosibirsk, 630099;
6, Nizhegorodskaya Str., Novosibirsk, 630102
K. S. Yushina
Novosibirsk State University of Economics and Management;
Aperbot LLC
Russian Federation
Russian Federation
Kristina S. Yushina – Postgraduate Student, Department of Statistics, Novosibirsk State University of Economics and Management (NSUEM); Project Manager, Aperbot LLC.
56, Kamenskaya Str., Novosibirsk, 630099;
10, Veteranov Pass., Bldg. 1, Moscow Region, Zvenigorod, 143180
E. A. Varnavskiy
Novosibirsk State University of Economics and Management
Russian Federation
Russian Federation
Evgeny A. Varnavskiy – Postgraduate Student, Department of Regional Economics and Management, NSUEM
56, Kamenskaya Str., Novosibirsk, 630099
References
1. Gribanov Yu.I., Shatrov A.A. Essence, Contents and Role of Digital Transformation in Development of Economic Systems. Vestnik Altaiskoi Akademii Ehkonomiki i Prava. 2019;(3(Part 1):44–48. (In Russ.)
2. Yushina K.S. Digitalization as a Factor in Socio-Economic Development. In: Piskun E.I., Shakhovskaya L.S., Nizhegorodtsev R.M. (eds) Innovative Technologies in the Development of Socio-Economic Systems: Collection of Scientific Papers of the II scientific and practical conference with International Participation, Sevastopol, 20–22 May 2020. Sevastopol: Sevastopol State University; 2020. Pp. 31–38. (In Russ.)
3. Glinsky V.V. et al. The Level of Digital Transformation of the Regions as a Factor of the Efficiency of the Digital Economy. In: Innovation Management and Sustainable Economic Development in the Era of Global Pandemic: Proceedings of the 38th International Business Information Management Association Conference (IBIMA), Seville, Spain, 23–24 November 2021. Seville, Spain: IBIMA Publishing; 2021. P. 3367–3370.
4. Tapscott D. The Digital Economy: Promise and Peril in the Age of Networked Intelligence. McGraw-Hill; 1994. 368 p.
5. Termeleva A.E. Digital Transformation at the Present Stage and Its Impact on Innovation. Vestnik Samarskogo universiteta. Ekonomika i upravlenie = Vestnik of Samara University. Economics and Management. 2022;13(3):50–58. (In Russ.)
6. Mirolyubova T.V., Karlina T.V., Nikolaev R.S. Digital Economy: Identification and Measurements Problems in Regional Economy. Economy of Regions. 2020;16(2):377–390. (In Russ.)
7. Bukht R., Heeks R. Defining, Conceptualising and Measuring the Digital Economy. International Organisations Research Journal. 2018;13(2):143–172 (In Russ.). Available from: https://doi.org/10.17323/1996-7845-2018-02-07.
8. Doroshenko S.V. The Features of Trade Interactions Between Russian Regions and Partially Recognized Republics of the South Caucasus. Vestnik NSUEM. 2023;(2):53–(In Russ.)
9. Bobrysheva O.V., Borisov V.N. Unified Digital Platforms for a «Smart City». Territory Development. 2023;1(31):28–34. (In Russ.) Available from: https://doi.org/10.32324/2412-8945-2023-1-28-34.
10. Minakov V.F. Information Processes in the Formation of Hype Cycles. Territory Development. 2021;2(24):76–(In Russ.)
11. Yushina K.S. Statistical Study of the Digital Transformation of the Economy of the Russian Federation. Cand. Econ. Sci. Diss. Novosibirsk; 2024. 168 p. (In Russ.)
12. Glinskiy V.V., Serga L.K. On Measurement of the Results of the Activities of Digital Economy at the Regional Level. Vestnik NSUEM. 2022;(4):219–233. (In Russ.) Available from: https://doi.org/10.34020/2073-6495-2022-4-219-233.
13. Tatarinov A.A. Measuring Digital Economy in National Accounts. Voprosy Statistiki. 2019;26(2):5–17. (In Russ.)
14. Glinskiy V.V., Serga L.K., Yushina K.S. The Use of Multipliers in Assessing the Economic Effects of Digital Transformation of Territories (Case Study: Novosibirsk Region). Voprosy Statistiki. 2024;31(2):52–60. (In Russ.) Available from: https://doi.org/10.34023/2313-6383-202431-2-52-60.
15. Glinsky V.V., Serga L.K. Approaches of Measuring Digital Economy in the Region. Economics of Russian East. 2021;1(13):10–18. (In Russ.)
16. Abdrakhmanova G.I. et al., Gokhberg L.M. (ed.) What is the Digital Economy? Trends, Competencies, Measurement: Report to the XX April International Academic Conference on Economic and Social Development, Moscow, 9–12 April 2019. Moscow: Publishing House of the Higher School of Economics; 2019. 82 p. (In Russ.)
17. SKOLKOVO Financial Innovations & Cashless Economy Centre. «Digital Russia» Index. [Electronic resource]. Moscow School of Management SKOLKOVO; 2018. 193 p. (In Russ.) Available from: https://finance.skolkovo.ru/ru/sfice/research-reports/1779-2019-04-22/.
18. Yelin K.M., Usova N.V., Loginov M.P. The Role of Artificial Intelligence Technologies in Shaping the Digital Model of the National Economy. AlterEconomics. 2024;21(4):723–747. (In Russ.) Available from: https://doi.org/10.31063/AlterEconomics/2024.21-4.5.
19. Leontiev V.V. Economy as a Single Process. Moscow: Economy; 1990. (In Russ.)
20. Gerasimenko G.M. Inter-Industry Balance and Its Application. Moscow: Finansy i statistika Publ.; 1984. (In Russ.)
21. Miller R.E., Blair P.D. Input-Output Analysis: Foundations and Extensions (2nd Ed.). Cambridge: Cambridge University Press; 2009.
22. Shirokov V.V. Modeling the Economy Based on Inter-Industry Balances. Saint Petersburg: Piter Publishing House; 2006. (In Russ.)
23. Romanovsky A.A. Digitalization of the Economy and Inter-Industry Analysis. Moscow: Delo Publishing House; 2019. (In Russ.)
24. Tatarkin A.I., Laptev V.V. Innovative Approaches to Inter-Industry Analysis. Yekaterinburg: Ural Branch of the Russian Academy of Sciences, 2018. (In Russ.)
Review
For citations:
Glinskiy V.V., Serga L.K., Yushina K.S., Varnavskiy E.A. Techniques for Compiling Input-Output Tables to Measure the Impact of the Digital Economy in Russia. Voprosy statistiki. 2025;32(1):27-39. (In Russ.) https://doi.org/10.34023/2313-6383-2025-32-1-27-39
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