Development of a methodology for assessing the level of demographic development of regions based on methods of multidimensional statistical analysis
Abstract
Currently, demographic processes in our country have acquired a strongly pronounced negative connotation. This was facilitated by many different factors and, above all, a decrease in the birth rate and an increase in mortality, as a result of which the processes of depopulation are becoming more and more clearly manifested. In turn, the level of demographic development of the region serves as an indicator of the standard of living and well-being of the population of the region.
The purpose of the study proposed by the authors is to form an assessment methodology and to identify the most significant factors influencing the level of demographic development of the regions of the Volga Federal District (PFD), using methods of multidimensional statistical and cluster analysis.
The result of the study is a quantitative assessment of the level of demographic development of the regions of the Volga Federal District on the basis of the functional dependence of the main components on the initial indicators obtained by the authors. The clustering of the regions of the Volga Federal District, based on the values of the main components, made it possible to classify them according to the level of demographic development. As a result of a comparative analysis of the average values of the main components of the regions of each of the clusters identified by the authors, the factors that should be paid special attention to each region of the Volga Federal District are identified. The methodology proposed by the authors can be used to assess the level of demographic development of regions and other districts of the Russian Federation, taking into account their characteristics.
About the Authors
E. P. Mitrofanov
Moscow State University of Humanities and Economics
Russian Federation
Russian Federation
Candidate of Economic Sciences, Associate Professor
A. G. Kulagina
I.N. Ulyanov Chuvash State University
Russian Federation
Russian Federation
Candidate of Economic Sciences, Associate Professor
E. A. Solodova
Russian University of Sports “GTSOLIFK”; D.I. Mendeleev Russian University of Chemical Technology
Russian Federation
Russian Federation
Postgraduate Student, Senior Lecturer
S. N. Lavanov
I.N. Ulyanov Chuvash State University
Russian Federation
Russian Federation
Bachelor
M. E. Mitrofanov
National Research Moscow State University of Civil Engineering
Russian Federation
Russian Federation
Specialist
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Review
For citations:
Mitrofanov E.P., Kulagina A.G., Solodova E.A., Lavanov S.N., Mitrofanov M.E. Development of a methodology for assessing the level of demographic development of regions based on methods of multidimensional statistical analysis. Kazan economic vestnik. 2023;(4):19-27. (In Russ.)
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