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Labor Migration in the Region: Assessment, Forecasting, Approaches to Management

V. F. Potudanskaya*, N. V. Borovskikh and E. A. Kipervar
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V. F. Potudanskaya*: Omsk State Technical University, Omsk, Russia
N. V. Borovskikh: Omsk State Technical University, Omsk, Russia
E. A. Kipervar: Omsk State Technical University, Omsk, Russia

The Journal of Social Sciences Research, 2018, 256-264 Special Issue: 3

Abstract: The article considers labor migration in the region. The goal of the study was to define the key problems related to the development of labor migration in the region, its forecasting and substantiating approaches to the labor migration management by federal and regional authorities. Regression analysis, methods of demographic forecasting, as well as techniques of table and graphical representation of statistical data were used as statistical methods of the study. The problems of assessing, forecasting and managing labor migration are considered through the example of a typical peripheral region of the Russian Federation – the Omsk Region. Based on the study results, the authors have identified trends in the development of labor migration in the region, substantiated the forecast for the labor migration development, and identified approaches to managing migration flows. The paper contains the results of assessing internal and external migration indicators based on the study results. The dominant role of the internal labor migration in the migration flows of the region’s population is proved. The factors of migration attractiveness of the Central and Southern regions of Russia are revealed. The reasons for the population migration from the Omsk Region are analyzed. Labor migration is defined as the predominant type of migration in the region under study. The paper substantiates the areas of regulating labor migration, the essence of which is to ensure a decent standard of the population’s life in the region and to create an appropriate migration infrastructure.

Keywords: Labor migration; Omsk region; Population dynamics; Demographic burden; Forecasting the population; Migration loss; Migration attractiveness; Migration consequences (search for similar items in EconPapers)
Date: 2018
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