Proceedings of the International Scientific Conference "Competitive, Sustainable and Secure Development of the Regional Economy: Response to Global Challenges" (CSSDRE 2018)

Sustainable Development of Russian Regions on the Basis of Knowledge Diffusion: Empirical Analysis

Authors
Alexei Koritsky, Anna Aletdinova, Alexandr Babkin
Corresponding Author
Alexei Koritsky
Available Online May 2018.
DOI
10.2991/cssdre-18.2018.144How to use a DOI?
Keywords
sustainable development; knowledge diffusion; human capital; impact of education; the density of employment; agglomeration effects; physical capital and regional characteristics capital-labor ratio; elasticity coefficients
Abstract

One of the important factors in ensuring sustainable development of countries is the possibility of obtaining knowledge by the population, but knowledge diffusion is not universal, it is influenced by regional features. The indicator of it is the assessment of the regional impact of human capital, which will be proven to be influenced by the density and level of employment in Russia. The paper shows the dependence of the population income on the regional characteristics, estimates of the impact of human capital are demonstrated. The regression analysis based on the Cobb-Douglas model is used as the method of research, and the relative capital armament of labor, the density of employment, the average level of education in the economy, the share of employed with higher education in the total number of employees are taken as exogenous variables. The income of the population was considered as an exogenous variable. The authors assumed that in regions with higher population densities the impact of human capital (and hence the knowledge diffusion) is higher, so the regions are grouped by this indicator into European (high) and Asian (low) regions. The growth of the employment density by 1% corresponds to the growth of income per employee by about 0.02-0.03%, therefore, the doubling of the employment density is accompanied by the increase in income by 2-3%. At the same time, the coefficient of elasticity of impact of human capital was lower than the coefficient of elasticity of impact of the relative capital-labor ratio. It can be assumed that the income is less affected by human capital than physical capital. Regression spatial analysis has shown that in the regions of the European part of Russia the impact of physical and human capital is higher than in the regions of the Asian part, which means that investment in physical capital is more appropriate to be placed mainly in more densely populated regions, but this does not solve the problem of ensuring access to knowledge and realization of its potential.

Copyright
© 2018, 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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Volume Title
Proceedings of the International Scientific Conference "Competitive, Sustainable and Secure Development of the Regional Economy: Response to Global Challenges" (CSSDRE 2018)
Series
Advances in Economics, Business and Management Research
Publication Date
May 2018
ISBN
10.2991/cssdre-18.2018.144
ISSN
2352-5428
DOI
10.2991/cssdre-18.2018.144How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

TY  - CONF
AU  - Alexei Koritsky
AU  - Anna Aletdinova
AU  - Alexandr Babkin
PY  - 2018/05
DA  - 2018/05
TI  - Sustainable Development of Russian Regions on the Basis of Knowledge Diffusion: Empirical Analysis
BT  - Proceedings of the International Scientific Conference "Competitive, Sustainable and Secure Development of the Regional Economy: Response to Global Challenges" (CSSDRE 2018)
PB  - Atlantis Press
SP  - 711
EP  - 715
SN  - 2352-5428
UR  - https://doi.org/10.2991/cssdre-18.2018.144
DO  - 10.2991/cssdre-18.2018.144
ID  - Koritsky2018/05
ER  -