The Econometric Model of the Social and Economic Regional Development Impact on Demographic Processes

DOI

10.2991/iscfec-19.2019.3How to use a DOI?

Keywords

regional demographic processes, social and economic regional development, econometric modelling, regional human capital, level of regional development

Abstract

The article proposes the econometric model of a social and economic regional development impact on demographic processes that largely determine the level of the regional human capital, which in turn is one of the most important factors for sustainable regional development. Using the created database (26 indicators for the period 2011-2016 covering all regions of the Russian Federation) and the methods of analyzing panel data with deterministic spatial effects, the functional dependence of the regional human capital demographic parameters on the indicators of economic development has been worked out. Data processing was implemented in R software environment. The component analysis was used in order to save the maximum quantity of information depending on multicollinear indicators. The results represent one of the comprehensive research stages related to regional human capital development modelling and take into account the correlation between the quality of life and the level of social and economic regional development. The proposed model can be used to elaborate and implement a strategy for the regional development and to make management decisions in the field of demography based on the optimal use of available resources.

Copyright

© 2019, 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  - E.D. Emtseva
AU  - E.V. Krasova
AU  - L.S. Mazelis
PY  - 2019/05
DA  - 2019/05
TI  - The Econometric Model of the Social and Economic Regional Development Impact on Demographic Processes
BT  - Proceedings of the International Science and Technology Conference "FarEastСon" (ISCFEC 2019)
PB  - Atlantis Press
SP  - 11
EP  - 15
SN  - 2352-5428
UR  - https://doi.org/10.2991/iscfec-19.2019.3
DO  - 10.2991/iscfec-19.2019.3
ID  - Emtseva2019/05
ER  -