Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/111227
Title: Trends in the Migration of Russian Scholars: The Regional Dimension
Other Titles: Миграционные тренды российских ученых: региональный аспект
Authors: Sudakova, A. E.
Tarasyev, A. A.
Koksharov, V. A.
Issue Date: 2021
Publisher: Southern Federal University
Southern Federal University
Citation: Sudakova A. E. Trends in the Migration of Russian Scholars: The Regional Dimension [Миграционные тренды российских ученых: региональный аспект] / A. E. Sudakova, A. A. Tarasyev, V. A. Koksharov // Terra Economicus. — 2021. — Vol. 19. — Iss. 2. — P. 91-104.
Abstract: The quality of human capital is of key significance for the technological and economic development as a factor of competition for highly qualified personnel. Previously, the migration of scholars was described as a “brain drain”, but due to globalization and the development of communication tools, its characteristics expanded. Nowadays, additional relevant terms “brain circulation”, “brain exchange”, and “brain sharing” have appeared. Bibliometric analysis in this paper relies on the Scopus database to estimate the migration of scholars affiliated to the Ural Federal University. We present our algorithm for generating scientometric data. The research findings show that, in general, the regional tendencies follow, with some time lag, the Russian average, as well as the global trends of transition from the “brain drain” to the cooperative work. We identified similarities between the list of host countries and countries for cooperation. The key difference is that the region trend is featured by more positive figures in terms of “brain drain” than Russia on average. Practical significance of our paper refers to the application of generation algorithm as an independent tool for collecting scientometric data. The results of the study can be used by the public authorities when implementing socio-economic policy. © 2021, Terra Economicus. All Rights Reserved.
Keywords: BIBLIOMETRIC ASSESSMENT
BIG DATA
BRAIN CIRCULATION
BRAIN DRAIN
DATA MINING
MIGRATION OF SCHOLARS
SCIENTOMETRIC ANALYSIS
URI: http://elar.urfu.ru/handle/10995/111227
Access: info:eu-repo/semantics/openAccess
RSCI ID: 46267911
SCOPUS ID: 85109446460
WOS ID: 000667259100006
PURE ID: 22824405
ISSN: 2073-6606
DOI: 10.18522/2073-6606-2021-19-2-91-104
Sponsorship: Acknowledgment: The study is supported by the Russian Science Foundation, project № 19-78-00080.
RSCF project card: 19-78-00080
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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