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REGRESSION ANALYSIS OF DEMOGRAPHIC PROCESSES: SPATIAL RESULTS (KHERSON REGION CASE, UKRAINE)

Ihor Pylypenko, Daria Malchykova

First published: 2022https://doi.org/10.35603/sws.iscss.2022/s12.104View metrics

Abstract

The article analyzes the possible individual aspects of the use of regression analysis in demographic research. The possibilities of analyzing the relationship between the parameters of the formation of the population and its constituent elements are shown. So, the highest correlation coefficient is demonstrated by the pair of signs В«population formation (changes) - total migration balanceВ» The regression method is widely used in natural and social sciences, including geography. The purpose of the presented work is the approbation of models of the spatial regression method for the analysis of features of demographic processes at the regional level. The research region was the Kherson region of Ukraine. It was established that the Kherson region has the following spatial trend: with increasing distance to the regional center, there is a decrease in population formation indicators. Which, the negative balance of migrations, as well as the balance of internal migrations, mortality is also increasing sharply. The conducted regression analysis made it possible to draw conclusions that confirm the postulates of the В«Core-PeripheryВ» concept. This concept, in the aspect of demographic processes, emphasizes changes in population formation indicators with increasing distance from the Core to the Periphery. The proposed approach can be used to determine changes in process parameters in both temporal and spatial aspects.

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Publication details

Title
REGRESSION ANALYSIS OF DEMOGRAPHIC PROCESSES: SPATIAL RESULTS (KHERSON REGION CASE, UKRAINE)
Authors
Ihor Pylypenko, Daria Malchykova
Proceedings
Proceedings of 9th SWS International Scientific Conference on Social Sciences - ISCSS 2022
Publisher
SGEM WORLD SCIENCE (SWS) Scholarly Society
Year
2022
Pages
883-890
SWS Citekey
Pylypenko202212883890
ISSN
2682-9959
ISBN
978-3-903438-04-0
Language
en
Publication type
Proceedings Paper
Keywords
regression analysisdemographypopulation formationcorrelation
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