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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Modelling The Relationship Between Demographic Structures Of The Russian Population

Authors:

Anna Bagirova, Oksana Shubat

Published in:

 

 

2020). ECMS 2020 Proceedings Edited by: Mike Steglich, Christian Muller, Gaby Neumann, Mathias Walther, European Council for Modeling and Simulation.

 

DOI: http://doi.org/10.7148/2020

ISSN: 2522-2422 (ONLINE)

ISSN: 2522-2414 (PRINT)

ISSN: 2522-2430 (CD-ROM)

 

ISBN: 978-3-937436-68-5
ISBN: 978-3-937436-69-2(CD)

 

Communications of the ECMS , Volume 34, Issue 1, June 2020,

United Kingdom

 

Citation format:

Anna Bagirova, Oksana Shubat (2020). Modelling The Relationship Between Demographic Structures Of The Russian Population, ECMS 2020 Proceedings Edited By: Mike Steglich, Christian Mueller, Gaby Neumann, Mathias Walther European Council for Modeling and Simulation. doi: 10.7148/2020-0073

DOI:

https://doi.org/10.7148/2020-0073

Abstract:

Russia is now facing serious demographic problems. Several reasons cause the decrease in the number of children and their share in the population. We analyzed the possible relationship between two different demographic structures in Russia, which characterize the share of children in the population and the share of population involved in a daily childcare. We applied correlation analysis, methods of econometric modelling and analytics infographics. The results of our study as follows: 1) the young-age dependency ratio in the Russian regions is very slightly correlated with the share of the population involved in daily childcare; 2)  the number of children of different age groups in the population is either unrelated or very slightly correlated with the share of the population involved in daily childcare; 3) the relationship between the fertility rate in the region and the degree of population involvement in childcare cannot be confidently confirmed either; 4) in Russia there is a group of regions with atypically high levels of the studied variables. This is a special phenomenon in the Russian demographic space.. Our results make it possible to strengthen the information base necessary for developing more effective demographic measures.

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