Sciact
  • EN
  • RU

Problems of Assessing Industrial Robotics in the Context of Achieving National Development Goals Full article

Journal Studies on Russian Economic Development
ISSN: 1075-7007
Output data Year: 2026, Volume: 37, Number: 5, Pages: 703-711 Pages count : 9 DOI: 10.1134/S1075700726700413
Tags robotization, robotic density, robotics, industry, industrial robotization
Authors Potaptseva E.V. 1 , Bryantseva O.S. 1
Affiliations
1 Institute of Economics, Ural Branch, Russian Academy of Sciences

Funding (1)

1 Министерство науки и высшего образования РФ 0327-2024-0010

Abstract: The article examines the issues of measuring industrial robotics in Russia from the point of view of the achievability of national development goals in this area. An assessment was made of the contribution of production factors, such as changes in the industrial robot fleet and personnel dynamics, to indicators of robotic density. A new indicator of organizational robotics density is proposed as the ratio of the amount of robotics used to the number of manufacturing organizations. Calculations were made of traditional and introduced indicators of robotic density for Russian oblasts. It is shown that the distribution of robotics is extremely heterogeneous and is largely determined by the level of technological development, the institutional environment, the sectoral structure of the economy and the size of enterprises. It has been established that in Russian conditions, the indicator of organizational robotics density more accurately identifies the industry-specific distribution of robotics at the oblast level.
Cite: Potaptseva E.V. , Bryantseva O.S.
Problems of Assessing Industrial Robotics in the Context of Achieving National Development Goals
Studies on Russian Economic Development. 2026. V.37. N5. P.703-711. DOI: 10.1134/S1075700726700413 Scopus РИНЦ
Original: Потапцева Е.В. , Брянцева О.С.
Проблемы оценки промышленной роботизации в контексте достижения национальных целей развития
Проблемы прогнозирования. 2026. №5 (218). С.156-167. DOI: 10.47711/0868-6351-218-156-167
Dates:
Published print: Aug 27, 2026
Identifiers:
≡ Scopus: 2-s2.0-105048722452
≡ Elibrary: 91985025
Altmetrics: