Regional Economics: Theory and Practice
 

Socio-economic imbalances of population reproduction according to place of residence

Vol. 15, Iss. 8, AUGUST 2017

Received: 4 April 2017

Received in revised form: 20 April 2017

Accepted: 15 May 2017

Available online: 15 August 2017

Subject Heading: POPULATION AND DEMOGRAPHY

JEL Classification: J10, J11, R23, R58

Pages: 1580–1594

https://doi.org/10.24891/re.15.8.1580

Merkulova E.Yu. Russian Presidential Academy of National Economy and Public Administration, Tambov Branch, Tambov, Russian Federation merkatmb@mail.ru

Morozova N.S. Financial University under Government of Russian Federation, Lipetsk Branch, Lipetsk, Russian Federation NSMorozova@fa.ru

Importance The article deals with the issues of establishment of an integrated socio-economic territory with a high quality of life for the population and diversified economy and infrastructure, as well as the problems of population concentration in places of residence.
Objectives The article aims to investigate the problems of urban and rural reproduction in the regions of the Russian Federation by describing the selected clusters to determine the strategic direction of the territories' development.
Methods For the study, we used statistical, cluster, and correlation and regression analyses, tabular, graphical, principal components methods, and Exсel, IBM SPSS Statistika software.
Results Using the Rosstat official statistics, we have analyzed the trends and structure of the population, the basic indicators of natural and migratory movement of the Russian population as a whole and the distribution to urban and rural areas. As well, we have considered the impact of maternity capital payment on births in the regions of Russia, and we identify the relationship between the demographic situation in the regions and labor market.
Conclusions The cluster description by population reproduction level helps chart the main lines of reducing the asymmetry in the reproduction of population, depending on the place of residence.

Keywords: demographic processes, labor market, population, cluster

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