Comparative Assessment of Digitalisation in Russian Industrial Regions

Author:

Korovin G. B.ORCID,

Abstract

Technological and organisational opportunities provided by digitalisation to the society and economy can help improve the efficiency of industry and advance the development of industrial regions. The study aims to assess the digitalisation level and rate of industrial regions in comparison with the av-erage Russian level. For this purpose, structural and dynamic analysis, as well as the method of grouping of various indicators from the official Russian statistics in the field of ICT were applied. It was hypothe-sised and confirmed that digital technologies are used more intensively in industrial regions. In terms of the use of basic information technologies, the values are higher by 1-7 %. Organisations in industrial re-gions are 3 % more likely to use global networks to interact with counterparts. There are also more en-terprises (by 4 %) that have implemented automated data exchange with partners. Industrial regions have been using special design, production management and product lifecycle software 15 % more often since 2018. However, a hypothesis of a larger-scale implementation of advanced digital technologies in indus-trial regions has not been unequivocally confirmed. The values are higher only for indicators of the use of industrial robots (by 25 %), artificial intelligence technologies (by 12.4 %), digital platforms (by 3.4 %), geo-information systems (by 4.7 %), the Internet of Things (by 4.3 %). The findings can be used to develop digi-talisation strategies at the regional and federal levels. Variability of the regulatory framework for collecting statistics and underdeveloped terminology in the field of digital technologies can be considered as limita-tions to the application of the results. Further research may focus on building econometric and other models for implementing digitalisation in regions.

Publisher

Institute of Economics of the Ural Branch of the RAS

Subject

General Economics, Econometrics and Finance,General Business, Management and Accounting,General Social Sciences,General Environmental Science

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