Trends in the migration of Russian scholars: The regional dimension

TERRA ECONOMICUS, , Vol. 19(no. 2),

The quality of human capital is of key significance for the technological and economic development as afactor of competition for highly qualified personnel. Previously, the migration of scholars was described asa “brain drain”, but due to globalization and the development of communication tools, its characteristicsexpanded. 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 migrationof scholars affiliated to the Ural Federal University. We present our algorithm for generating scientometricdata. The research findings show that, in general, the regional tendencies follow, with some time lag, theRussian average, as well as the global trends of transition from the “brain drain” to the cooperative work. Weidentified similarities between the list of host countries and countries for cooperation. The key difference isthat 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 independenttool for collecting scientometric data. The results of the study can be used by the public authorities whenimplementing socio-economic policy.
Citation: Sudakova, A.E., Tarasyev, A.A., Koksharov, V.A. (2021). Trends in the migration of Russian scholars: The regional dimension. Terra Economicus 19(2): 91–104. (In Russian.) DOI: 10.18522/2073-6606-2021-19-2-91-104
Acknowledgment: The study is supported by the Russian Science Foundation, project № 19-78-00080.

Keywords: migration of scholars; brain drain; brain circulation; data mining; Big Data; bibliometric assessment; scientometric analysis

JEL codes: O15

  • Вишневский А.Г. (ред.) (2006). Население России 2003–2004. Одиннадцатый-двенадцатый ежегодный демографический доклад. М.: Наука, 356 с. [Vishnevsky A.G. (ed.) (2006). Population of Russia in 2003–2004. 11–12 Annual Demographic Report. Moscow: Nauka Publ., 356 p. (in Russian).]
  • Гохберг Л.М., Миндели Л.Э., Некипелова Е.Ф. (1994). Эмиграция ученых: проблемы, реальные оценки, с. 3–18. В кн.: Зайончковская Ж.А., Азраэл Дж. (ред.) Миграция специалистов из России: причины, последствия, оценки. М.: Центр исследований и статистики науки. [Gokhberg L.M., Mindeli L.E., Nekipelova E.F. (1994). Emigration of Scholars: Problems and estimations, pp. 3–18. Zayonchkovskaya J., Azrael J. (ed.) Migration of Specialists from Russia: Causes, Consequences, Estimations. Moscow: Center for Research and Statistics of Science Publ. (in Russian).]
  • Кокшаров В.А., Агарков Г.А. (2018). Международная научная миграция: прогресс или угроза научно-технической безопасности России. Экономика региона 14(1): 243–252. [Koksharov V.A., Agarkov G.А. (2018). International scientific migration: Progress or a threat to Russia’s scientific and technological security. Economy of Region 14(1): 243–252 (in Russian.)] DOI: 10.17059/2018–1–19
  • Рыбаковский Л.Л., Рязанцев С.В. (2005). Международная миграция в Российской Федерации. М.: РИЦ ИСПИ РАН, 56 с. [Rybakovsky L., Ryazantsev S. (2005). International Migration in the Russian Federation. Moscow: RAS Publ., 56 p. (in Russian).]
  • Рязанцев С.В., Письменная Е.Е. (2013). Эмиграция ученых из России: “циркуляция” или “утечка” умов. Социологические исследования (4): 24–35. [Riazantsev S.V., Pismennaya E.E. (2013). Emigration of scientists from Russia: brain circulation or brain drain. Sociological Studies (4): 24–35. (in Russian).]
  • Юревич М.А., Аушкап Д.С. (2018). “Утечка умов” в компьютерных и информационных науках: библиометрическая оценка // Информационное общество (6): 46–53. [Yurevich M.A., Aushkap D.S. (2018). “Brain drain” in computer and information sciences: Bibliometric assessment. Information Society (6): 46–53 (in Russian).]
  • Юревич, М., Еркина, Д., Цапенко, И. (2020). Измерение международной мобильности российских ученых: библиометрический подход // Мировая экономика и международные отношения 64(9), 53–62. [Yurevich М., Erkina D., Tsapenko I. (2020). Measuring international mobility of Russian scientists: A bibliometric approach. Mirovaya Ekonomika i Mezhdunarodnye Otnosheniya 64(9): 53–62 (in Russian).] DOI: 10.20542/0131-2227-2020-64-9-53-62
  • Ackers L. (2005). Moving people and knowledge: scientific mobility in the European union. International Migration 43(5): 99–131. DOI: 10.1111/j.1468-2435.2005.00343.x
  • Aman V. (2018). Does the Scopus author ID suffice to track scientific international mobility? A case study based on Leibniz laureates. Scientometrics 117(2): 705–720. DOI:10.1007/s11192-018- 2895-3
  • Andujar I., Caсibano C., Fernandez-Zubieta A. (2015). International stays abroad, collaborations and the return of Spanish researchers. Science, Technology and Society 20(3): 322–348. DOI:10.1177/0971721815597138
  • Arvizu D., Bowen R. (2014). National Science Board. Science and Engineering Indicators 2014. Arlington, VA. 600 p.
  • Barabási A.L., Jeong H., Néda Z., Ravasz E., Schubert A., Vicsek T. (2002). Evolution of the social network of scientific collaborations. Physica A-statistical Mechanics and Its Applications 311: 590–614. DOI: 10.1016/S0378-4371(02)00736-7
  • Beaver D. deB., Rosen R. (1978). Studies in scientific collaboration. Part I. The professional origins of scientific co-authorship. Scientometrics 1: 65–84.
  • Boring P., Flanagan K., Gagliardi D., Kaloudis A., Karakasidou A. (2015). International mobility: findings from a survey of researchers in the EU. Science and Public Policy 42(6): 811–826. DOI: 10.1093/SCIPOL/SCV006
  • Borjas G., Doran K. (2012). The collapse of the Soviet Union and the productivity of American mathematicians. Quarterly Journal of Economics 127(3): 1143–1203.
  • Cañibano C., Bozeman B. (2009). Curriculum vitae method in science policy and research evaluation: the state-of-the-art. Research Evaluation 18(2): 86–94. DOI:10.3152/095820209X441754
  • Cao X. (1996). Debating ‘brain drain’ in the context of globalization. Compare 26(3): 269–284.
  • Conchi S., Michels C. (2014). Scientific mobility: an analysis of Germany, Austria, France and Great Britain. Fraunhofer ISI, Karlsruhe, 71 p.
  • De Filippo D., Casado E., Gуmez I. (2009). Quantitative and qualitative approaches, to the study of mobility and scientific performance: a case study of a Spanish university. Research Evaluation 18: 191–200. DOI: 10.3152/095820209x451032
  • Franzoni C., Scellato G., Stephan P. (2012). Foreign-born scientists: mobility patterns for 16 countries. Nature Biotechnology 30: 1250–1253. DOI:10.1038/nbt.2449
  • Glänzel W., Schubert A. (2004). Analysing Scientific Networks Through Co-Authorship. Handbook of Quantitative Science and Technology Research. Springer, Dordrecht, 257–276. DOI: 10.1007/1- 4020-2755-9_12
  • Glass H., Choy W.K. (2001). Brain Drain or Brain Exchange. New Zealand Treasury, 58 p.
  • Halev G., Moed H.F. (2012). International scientific migration analysis generates new insights. Research Trends 31: 1–22.
  • Hunter P. (2013). Brain drain, brain gain or brain sharing? EMBO Reports 14(4): 315–318.
  • Janger J., Kügler A., Bärenthaler-Sieber S., Strauss A., Hofmann K., Van Hoed M., Lopez L.N., Wastyn A. (2017). MORE3 – Support Data Collection and Analysis Concerning Mobility Patterns and Career Paths of Researchers. Final Report – Task 4: Comparative and Policy-relevant Analysis. WIFO Studies, WIFO, 60981, 225 p.
  • Johnson H.G. (1965). The economics of the “brain drain”: The Canadian case. Minerva 3: 299–311.
  • Johnson J.M., Regets M.C. (1998). International mobility of scientists and engineers to the United States – Brain drain or brain circulation? Division of Science Resources Studies, Issue Brief 98–316, June 22.
  • Jonkers K., Tijssen R. (2007). Chinese researchers returning home: Impacts of international mobility on research collaboration and scientific productivity. Scientometrics 77(2): 309–333. DOI: 10.1007/s11192-007-1971-x
  • Katz J.S., Martin B.R. (1997). What is research collaboration? Research Policy 26: 1–18.
  • Krause J., Lindqvist C.M., Mele S. (2007). Quantitative study of the geographical distribution of the authorship of highenergy physics journals. European organization for nuclear research, CERN, Switzerland, 32 p.
  • Laudel G. (2002). What do we measure by co-authorships? Research Evaluation 11: 3–15.
  • Le T. (2008). Brain drain or brain circulation: Evidence from OECD’s international migration and R&D spillovers. Scottish Journal of Political Economy 55(5): 618–636. DOI: 10.1111/j.1467- 9485.2008.00468.x
  • Markova Yu., Shmatko N., Katchanov Yu. (2016). Synchronous international scientific mobility in the space of affiliations: evidence from Russia. SpringerPlus 5(1): 1–19. DOI 10.1186/s40064- 016-2127-3
  • Newman M.E.J. (2004). Coauthorship networks and patterns of scientific collaboration. Proceedings of the National Academy of Sciences 101(1): 5200–5205. DOI: 10.1073/pnas.0307545100
  • Noorden R. van. (2014). Online collaboration: Scientists and the social network. Nature 512(7513): 126–129. DOI: 10.1038/512126a
  • OECD (2010). Measuring Innovation: A New Perspective. Paris: OECD Publishing, 128 p. DOI: 10.1787/9789264059474-en
  • OECD (2013b). Science, Technology and Industry Scoreboard 2013. Paris: OECD Publishing, 276 p. DOI: 10.1787/sti_scoreboard-2013-en
  • OECD (2013а). Researchers on the move: The impact of brain circulation. Paris: OECD Publishing, 7 p.
  • Quayle M., Greer M. (2014). Mapping the state of the field of social psychology in Africa and patterns of collaboration between African and international social psychologists. International Journal of Psychology 49(6): 498–502. DOI: 10.1002/ijop.12059
  • Rapaport H. (2004). Who is afraid of the brain drain? Human capital flight and growth in developing countries. Brussels Economic Review 47: 89–101.
  • Saxenian A. (2005). From brain drain to brain circulation: transnational communities and regional upgrading in India and China. Studies in Comparative International Development 40(2): 35–61. DOI: 10.1007/BF02686293
  • Straubhaar T. (2000). International mobility of the highly skilled: Brain gain, brain drain or brain exchange. HWWA Discussion Paper, no. 88. Hamburg: Hamburg Institute of International Economics, 24 p.
  • Subbotin A., Aref S. (2020). Brain drain and brain gain in Russia: Analyzing international migration of researchers by discipline using Scopus bibliometric data 1996–2020. MPIDR Working Paper WP-2020-025, Rostock, Max Planck Institute for Demographic Research, 20 p. https://doi. org/10.4054/MPIDR-WP-2020-025
  • Thomas B. (1967). The international circulation of human capital. Minerva 5: 479–506.
  • Wang X., Mao W., Wang C., Peng L., Hou H. (2013). Chinese elite brain drain to USA: An investigation of 100 United States national universities. Scientometrics 97: 37–46. DOI: 10.1007/s11192-013- 1024-6
  • Zarifa D., Walters D. (2008). Revisiting Canada’s brain drain: Evidence from the 2000 cohort of Canadian university graduates Canadian Public Policy 34: 305–319. DOI: 10.3138/cpp.34.3.305
Publisher: Southern Federal University
Founder: Southern Federal University
ISSN: 2073-6606
Издатель: Южный Федеральный Университет
Учредитель: Южный федеральный университет
ISSN: 2073-6606