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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 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. |
Full
text: |