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Regional Economics: Theory and Practice
 

An analysis of the impact of human capital development on the regional economy's efficiency through the spatial correlation approach

Vol. 20, Iss. 7, JULY 2022

Received: 14 February 2022

Received in revised form: 23 April 2022

Accepted: 7 June 2022

Available online: 14 July 2022

Subject Heading: SPATIAL ECONOMICS

JEL Classification: E24, H52, J24

Pages: 1208–1234

https://doi.org/10.24891/re.20.7.1208

Viktoriya V. AKBERDINA Ural Federal University named after the First President of Russia B.N. Yeltsin (UrFU), Yekaterinburg, Russian Federation
akberdina.vv@uiec.ru

https://orcid.org/0000-0002-6463-4008

Polina Yu. GROSHEVA Peoples' Friendship University of Russia (RUDN University), Moscow, Russian Federation
p.grosheva@yandex.ru

https://orcid.org/0000-0001-7546-6903

Ol'ga P. SMIRNOVA Ural Federal University named after the First President of Russia B.N. Yeltsin (UrFU), Yekaterinburg, Russian Federation
smirnova.op@uiec.ru

https://orcid.org/0000-0001-6965-8028

Alena O. PONOMAREVA Institute of Economics, Ural Branch of RAS, Yekaterinburg, Russian Federation
ponomareva.ao@uiec.ru

https://orcid.org/0000-0003-0525-7115

Subject. This article examines the factors that determine the level of human capital in the regions of Russia.
Objectives. The article aims to analyze the differentiation of the regions of Russia by level of human capital development.
Methods. For the study, we used the methods of horizontal statistical analysis, nonlinear regression modeling, and spatial econometrics based on Moran's I measure.
Results. The article confirms the opinion of some authors about the significant differentiation of the regions of Russia in terms of the level of human capital development and reveals a positive nonlinear relationship between the indicators of the gross regional product and the level of human capital of the region.
Conclusions. Improving the quality of human capital in the region has a direct strong impact on the level of its economic development. A nonlinear form of the simulated dependence shows that there will come a time of marginal return on the use of human capital.

Keywords: region, socio-economic development, human capital, nonlinear modeling

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