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Industrial Robotization in Russia: Methodological Approaches to Statistical Measurement
https://doi.org/10.34023/2313-6383-2025-32-4-5-20
Abstract
This article addresses the challenges of accounting for and monitoring industrial robotization processes in Russia. Industrial robotization is viewed as one of the key instruments for increasing labor productivity and achieving the country’s technological sovereignty, including in the context of national development goals. The authors focus on the indicator of robot density and its role in the system for monitoring strategic policy targets.
The study presents a comparative analysis of national and international methodologies for calculating indicators, including the practices of the International Federation of Robotics (IFR) and Eurostat. It highlights differences in the approaches to defining industrial robots, the scope of data coverage, and the analytical capacity of the respective indicators. Based on statistical data for 2023–2024, the article examines the deployment of industrial robots across Russia’s regions and identifies territorial disparities in their distribution.
The authors propose measures to improve the monitoring system for industrial robotization aimed at enhancing the accuracy and reliability of statistical data. These include refining calculation methodologies, increasing the analytical content of indicators, and shifting from purely quantitative measurements to a more comprehensive evaluation of robotization effects. The practical significance of the study lies in outlining directions for enhancing the statistical monitoring of robotization processes and in supporting the development of evidence-based strategic benchmarks for national industrial policy.
About the Authors
E. V. Potaptseva
Institute of Economics, Ural Branch of the Russian Academy of Sciences (IE UB RAS) ; Ural Federal University Named after the First President of Russia B.N. Yeltsin (UrFU)
Russian Federation
Russian Federation
Ekaterina V. Potaptseva – Cand. Sci. (Econ.), Associate Professor, Senior Researcher, Center for Structural Policy; Associate Professor, Subdepartment of Machine-Building Production Organization
29, Moskovskaya Str., Yekaterinburg, 620014
19, Mira Str., Yekaterinburg, 620062
O. S. Bryantseva
Institute of Economics, Ural Branch of the Russian Academy of Sciences (IE UB RAS)
Russian Federation
Russian Federation
Olga S. Bryantseva – Cand. Sci. (Econ.), Researcher, Center for Structural Policy
29, Moskovskaya Str., Yekaterinburg, 620014
References
1. Varshavskii A.E., Dubinina V.V. A Comparative Analysis of Indicators and Factors of Robotization in Russia and Poland. National Interests: Priorities and Security. 2021;17(10):1875–1902. (In Russ.) Available from: https://doi.org/10.24891/ni.17.10.1875. EDN: SBQFLH.
2. Graetz G., Guy M. Robots at Work. The Review of Economics and Statistics. 2018;100(5):753–768. Available from: https://doi.org/10.1162/rest_a_00754.
3. Mirgorodskaya E.O., Romanov A.V. State and Manufacturing Industry in Focus of Robotization. Economy. Business. Banks. 2024;(4):20–37. (In Russ.) EDN: CGYKNR.
4. Shevchenko O.P. et al. Economic Consequences of Automation and Robotization in Industry. Ekonomika i Upravlenie: Problemy, Resheniya. 2025;14(1):23–33. (InRuss.) Available from: https://doi.org10.36871/ek.up.p.r.2025.01.14.003.
5. Acemoglu D., Restrepo P. Robots and Jobs: Evidence from US Labor Markets. Journal of Political Economy. 2019;128(6):2188–2244. Available from: https://doi.org/10.1086/705716.
6. Acemoglu D., Restrepo P. The Race Between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment. American Economic Review. 2018;108(6):1488–1542. Available from: https://doi.org/10.1257/aer.20160696.
7. Brynjolfsson E., McAfee A.The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. USA: W.W. Norton & Company; 2014.
8. Pichkov O.B., Ulanov A.A. Regulation of Robotics: Analysis of the Leading Countries’ Experience. Digital Law Journal. 2021;2(2):31–44. (In Russ.) Available from: https://doi.org/10.38044/2686-9136-2021-2-2-31-44. EDN: XPOWOL.
9. Bannikov S.A. World Robotization Trends and Its Prospects in Russia. BENEFICIUM. 2023; 2(47):6–12. (In Russ.) Available from: https://doi.org/10.34680/BENEFICIUM.2023.2(47).6-12.
10. Nikolaev A.B. World and Russian Markets of Industrial Robotics. Prospects of Their Development. Robotics and Technical Cybernetics. 2019;7(4):258–269. (In Russ.) Available from: https://doi.org/10.31776/RTCJ.7402.
11. Amirkhanova F.S. On the Issue of Robotization of the Russian Economy. Philosophy of Economy. 2025; 2(158):121–133. (In Russ.) Available from: https://doi.org/10.5281/zenodo.15148565.
12. Sergeev P.A., Solyonyj S.V. Domestic Robotic Arms: Analysis of Production Readiness and Development Prospects. Innovacionnoe Priborostroenie = Innovative Instrumentation. 2024;3(5):31–36. (In Russ.) Available from: https://doi.org/10.31799/2949-0693-2024-5-31-36. EDN: ZLMRRN.
13. Kuzyk M.G., Sergeeva K.P. Robotization as a Factor of Russian Firms’ Adaptation to Non-Economic Shocks. Journal of Applied Economic Research. 2024;23(2):522–550. (In Russ.) Available from: https://doi.org/10.15826/vestnik.2024.23.2.021.
14. Fedyunina A.A., Gorodnyi N.A., Simachev Yu.V. Industrial Robotics Market in Russia under Sanctions: in Search of Supply and Demand Drivers. ЕСО. 2024;54(2):91–107. (In Russ.) Available from: https://doi.org/10.30680/ECO0131-7652-2024-2-91-107.
15. Leneman B. La robotique soviétique, 1970–1983. Évaluation d'une technologie de pointe. In: Revue d’études comparatives Est-Ouest. 1984;15(1):75–112. Available from: https://doi.org/10.3406/receo.1984.2480.
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For citations:
Potaptseva E.V., Bryantseva O.S. Industrial Robotization in Russia: Methodological Approaches to Statistical Measurement. Voprosy statistiki. 2025;32(4):5-20. (In Russ.) https://doi.org/10.34023/2313-6383-2025-32-4-5-20
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