Statistical and Cartographic Analysis of Demographic Burden in Municipal Districts of Lipetsk Region

DOI

10.2991/assehr.k.200113.058How to use a DOI?

Keywords

age and sex structure of the population, population aging, demographic burden, ranking of regions

Abstract

One of the starting points in the planning of economic development and sustainability of the national economy is the analysis of the dynamics of the amount of labor available in the future (the volume of labor). The initial value of the volume of labor is determined, first, by the number of the population and the share of the able-bodied population in it, that is, by demographic factors. This study is aimed at studying the dynamics of demographic aging of the population in a separate region (subject of the Russian Federation) - Lipetsk region. It addresses the following research questions: how fast is the aging of the population of the region; how evenly is the increase in the demographic burden in different areas within the region. The main purpose of this study is to conduct statistical and cartographic analysis of spatial data describing the dynamics of aging at the level of the region and its municipal entities. The results obtained in this study provide an understanding of the differentiation of changes in the sex and age structure of the population within the municipal districts of one region from the standpoint of the burden on labor resources.

Copyright

© 2020, 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  - Elena Kozlova
AU  - Maxim Novak
PY  - 2020
DA  - 2020/01/16
TI  - Statistical and Cartographic Analysis of Demographic Burden in Municipal Districts of Lipetsk Region
BT  - Proceedings of the Ecological-Socio-Economic Systems: Models of Competition and Cooperation (ESES 2019)
PB  - Atlantis Press
SP  - 283
EP  - 287
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200113.058
DO  - 10.2991/assehr.k.200113.058
ID  - Kozlova2020
ER  -