Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/90345
Title: Regional determinants of effective use of human capital in the digital economy
Authors: Kelchevskaya, N. R.
Shirinkina, E. V.
Issue Date: 2019
Publisher: Institute of Economics, Ural Branch of the Russian Academy of Sciences
Citation: Kelchevskaya, N. R. Regional determinants of effective use of human capital in the digital economy / N. R. Kelchevskaya, E. V. Shirinkina. — DOI 10.17059/2019-2-12 // Economy of Region. — 2019. — Vol. 2. — Iss. 15. — P. 465-482.
Abstract: This article discusses peculiarities of the labour market functioning in the context of the digital economy development. It determines the main directions in the management of processes related to the accumulation and use of human capital as the production's main factor in the context of digitalization. Our goal was to develop a multi-factor model of human capital efficiency in the digital economy. We used the materials of the Boston Consulting Group, the World Development Bank, and data from The Russia Longitudinal Monitoring Survey - Higher School of Economics (RLMS-HSE) as the study's empirical base. As a research methodology, we chose a regression analysis based on the initial sample of data from RLMS 25, wave 2016, "Data on IBM SPSS individuals". For the study of factors, we utilized the traditional J. Mincer equation, supplemented by quantitative and qualitative variables. We proved that expanding the range of parameters increases the coefficient of determination and the statistical significance of the parameters. On the basis of the empirical material, we confirmed a number of hypotheses on the determinants of the effective use of human capital in the digital economy. Particularly, the hypothesis about the impact of production experience on wages as an indicator of returns to human capital, previously put forward and supported by J. Mincer and his followers, is not confirmed for the digital economy. Digital technologies, replacing the old working methods, render the previous skills and organizational approaches irrelevant. Transformations caused by the environment's automation and digitalization change the working activities from clearly defined work responsibilities to design work. The development of skills in digital knowledge application is an essential factor for the effective use of human capital in the digital economy. These skills enable workers' adaptation to changing work processes and the employers' requirements. The study's results show that the correct interpretation of the determinants that affect the efficiency of the human capital use allow choosing the right targeting tools for managing human capital as a factor of economic growth. © 2019 Institute of Economics, Ural Branch of the Russian Academy of Sciences. All rights reserved.
Keywords: EDUCATION
HUMAN CAPITAL
INDICATORS
INTELLECTUAL ECONOMY
MINCER EQUATION
MODELLING
REGIONS OF RUSSIA
REGRESSION ANALYSIS
SPECIAL COMPETENCES
STATISTICS
WAGES
URI: http://hdl.handle.net/10995/90345
https://elar.urfu.ru/handle/10995/90345
Access: info:eu-repo/semantics/openAccess
cc-by-nc
RSCI ID: 38558086
SCOPUS ID: 85071668563
WOS ID: 000472642000012
PURE ID: 10034198
ISSN: 2072-6414
DOI: 10.17059/2019-2-12
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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