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Title: | Основные тренды миграционной мобильности населения регионов Сибирского и Дальневосточного федеральных округов |
Other Titles: | Main Directions of Migration Mobility in the Siberian and Far Eastern Federal Districts |
Authors: | Shvorina, K. V. Faleychik, L. M. Шворина, К. В. Фалейчик, Л. М. |
Issue Date: | 2018 |
Publisher: | Institute of Economics, Ural Branch of the Russian Academy of Sciences Институт экономики Уральского отделения РАН |
Citation: | Шворина К. В. Основные тренды миграционной мобильности населения регионов Сибирского и Дальневосточного федеральных округов / К. В. Шворина, Л. М. Фалейчик. — DOI 10.17059/2018-2-12. — Текст : электронный // Экономика региона. — 2018. — Том 14, выпуск 2. — С. 485-501. |
Abstract: | The article considers the migration mobility in the regions of Eastern Siberia and Russian Far East. The purpose of the study is to analyze and characterize the migration mobility of the population of the Siberian Federal District (SFD) and the Far Eastern Federal District (EFD) as well as to identify the interregional migration factors that determine the geography of its directions. The main hypothesis of the study is that interregional differences in the social and economic development of regions play a primary role in the formation of the repulsive and attractive factors of migration. We used statistical analysis and mathematical methods, as well as their geographical visualization. We have analyzed data from the Rosstat databases and have shown that migration losses in the SFD regions are significantly higher than in FEFD. However, for FEFD, these losses are more significant. Therefore, poorly populated and depressive regions deserve special attention. In these regions, even minimal migration losses considerably increase socio-demographic risks. We revealed that the indigenous population prevail in these territories. At the same time, the increasing territorial mobility of native inhabitants is observed. In most of the regions, there is a low migrant’s adaptation level. We have proposed the authors’ approach to the study of migration repulsive and attractive factors. It is based on the integration of the methods of multidimensional cluster analysis and geo-information analysis. This approach has allowed to classify the Russian regions in terms of their migration attractiveness as well as to show the geography of the prevailing migration movements for each region of SFD and FEFD. The results of the study have confirmed the dependence of migration mobility on the quality of life in different regions. These data may be applied to elaborate mechanisms for an effective policy of regional socio-economic development in the country. The promising direction for the further research is the application of our method at the municipal level. It may allow structuring regional economic spaces depending on the growth poles and the periphery. © 2018 Institute of Economics, Ural Branch of the Russian Academy of Sciences. All rights reserved. Проанализирована миграционная мобильность населения Сибирского и Дальневосточного федеральных округов. Представлены экономические факторы миграционной мобильности населения. Предложен подход к исследованию выталкивающих и притягивающих факторов миграции, на основе комплексирования методов многомерного кластерного и геоинформационного анализа. |
Keywords: | CLUSTER ANALYSIS FAR EASTERN FEDERAL DISTRICTS GIS TECHNOLOGIES INTERREGIONAL MIGRATION MIGRATION FACTORS MIGRATION GEOGRAPHY NATIVE INHABITANTS OF THE TERRITORY POPULATION CENSUS POPULATION MOBILITY REGIONS OF THE SIBERIAN SETTLED POPULATION |
URI: | http://elar.urfu.ru/handle/10995/91446 |
Access: | info:eu-repo/semantics/openAccess |
SCOPUS ID: | 85048527572 |
WOS ID: | 000443250000012 |
ISSN: | 2411-1406 2072-6414 |
DOI: | 10.17059/2018-2-12 |
metadata.dc.description.sponsorship: | The article has been prepared with the support of Fundamental Research Project XI.174.1.8. of the Siberian Branch of RAS. |
Origin: | Экономика региона. 2018. Том 14, выпуск 2 |
Appears in Collections: | Economy of Regions |
Files in This Item:
File | Description | Size | Format | |
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2018_14_2_012.pdf | 3,02 MB | Adobe PDF | View/Open |
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