Modeling the Influence of Intellectualization Factors on Labor Productivity in Russian Regions

DOI

10.2991/aebmr.k.201205.076How to use a DOI?

Keywords

Intellectualization of labor, labor productivity, regions of Russia, digital economy, ICT, R&D, economic development

Abstract

The article analyses the intellectualization processes and their impact on labor productivity both at the national level and in relation to the situation in Russian regions. The study proves that labor intellectualization can be considered not only as an objectively occurring in society process of changing the content of labor in favor of intellectual activity and increasing the share of intellectually intensive operations, but also as a certain form of control action, as a model of economic transformation that ensures economic growth. The use of digital solutions and information and communication technologies (ICT), training and retraining of personnel, research and development (R&D) were theoretically justified as factors of influence on labor productivity related to its intellectualization. As a result of econometric modeling, the significant impact of digital solutions and ICT, as well as training and retraining of personnel on labor productivity in Russian regions was confirmed. R&D factor was excluded from the final model due to the low level of influence. Based on the modeling results, the rating of Russian regions by the level of expenditures on the labor intellectualization was compiled.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - M.M. Markhaichuk
AU  - I.V. Panshin
PY  - 2020
DA  - 2020/12/07
TI  - Modeling the Influence of Intellectualization Factors on Labor Productivity in Russian Regions
BT  - Proceedings of the 2nd International Scientific and Practical Conference on Digital Economy (ISCDE 2020)
PB  - Atlantis Press
SP  - 455
EP  - 462
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.201205.076
DO  - 10.2991/aebmr.k.201205.076
ID  - Markhaichuk2020
ER  -