Migration from Uzbekistan to Russia: Push-Pull Factor Analysis

Bedrina, E. B.; Tukhtarova, Y.; Neklyudova, Natalia

doi:10.1007/978-3-030-15577-3_28

Cited by 3 publications

(6 citation statements)

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“…By contrast, Belarus, Uzbekistan, and Poland were more likely to be countries of origin rather than of destination. The migration patterns of academics from Belarus and Uzbekistan might be explained by the historical trend in patterns of general migration, whereby Russia has long been a primary destination for migrants from these countries (Bedrina et al 2018;Titarenko 2016).…”

Section: Flows Origins and Destinationsmentioning

confidence: 99%

“…Large shares of the Russian population are on the move for various reasons (Iontsev et al 2016). Russia is also an attractive destination for some international migrants, especially migrants from the former Soviet republics (Bedrina et al 2018;Rasuly-Paleczek and Six-Hohenbalken 2017). Moreover, some migrants may use Russia as a transit stop for further migration to other countries (Rybakovsky and Ryazantsev 2005).…”

Section: Introductionmentioning

confidence: 99%

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Brain drain and brain gain in Russia: Analyzing international migration of researchers by discipline using Scopus bibliometric data 1996–2020

Astrov

Aref

2021

Scientometrics

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We study international mobility in academia, with a focus on the migration of published researchers to and from Russia. Using an exhaustive set of over 2.4 million Scopus publications, we analyze all researchers who have published with a Russian affiliation address in Scopus-indexed sources in 1996–2020. The migration of researchers is observed through the changes in their affiliation addresses, which altered their mode countries of affiliation across different years. While only 5.2% of these researchers were internationally mobile, they accounted for a substantial proportion of citations. Our estimates of net migration rates indicate that while Russia was a donor country in the late 1990s and early 2000s, it has experienced a relatively balanced circulation of researchers in more recent years. These findings suggest that the current trends in scholarly migration in Russia could be better framed as brain circulation, rather than as brain drain. Overall, researchers emigrating from Russia outnumbered and outperformed researchers immigrating to Russia. Our analysis on the subject categories of publication venues shows that in the past 25 years, Russia has, overall, suffered a net loss in most disciplines, and most notably in the five disciplines of neuroscience, decision sciences, mathematics, biochemistry, and pharmacology. We demonstrate the robustness of our main findings under random exclusion of data and changes in numeric parameters. Our substantive results shed light on new aspects of international mobility in academia, and on the impact of this mobility on a national science system, which have direct implications for policy development. Methodologically, our novel approach to handling big data can be adopted as a framework of analysis for studying scholarly migration in other countries.

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Section: Flows Origins and Destinationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Brain drain and brain gain in Russia: Analyzing international migration of researchers by discipline using Scopus bibliometric data 1996–2020

Astrov

Aref

2021

Scientometrics

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“…Demintseva and Peshkova [47], Demintseva and Kashnitsky [48], and Demintseva [49] showed that social networking sites-such as Odnoklassniki.ru and VKontakte.ru-are among the most important means of communicating by foreign migrants, and they are actively used when looking for accommodation and work. Bedrina et al [50] recently provided a detailed econometric analysis of Uzbek migration networks in Russia. Timoshkin [51] further analyzed the whole spectrum of digital migration networks, and suggested that the success of these digital platforms is due to the complexity of official interfaces to communicate with state information nodes (e.g., regulations, job descriptions, normative acts), which make them unsuitable for communicating at a proper level.…”

Section: Migrationmentioning

confidence: 99%

Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg

et al. 2021

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This paper examines the suitability of Google Trends data for the modeling and forecasting of interregional migration in Russia. Monthly migration data, search volume data, and macro variables are used with a set of univariate and multivariate models to study the migration data of the two Russian cities with the largest migration inflows: Moscow and Saint Petersburg. The empirical analysis does not provide evidence that the more people search online, the more likely they are to relocate to other regions. However, the inclusion of Google Trends data in a model improves the forecasting of the migration flows, because the forecasting errors are lower for models with internet search data than for models without them. These results also hold after a set of robustness checks that consider multivariate models able to deal with potential parameter instability and with a large number of regressors.

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“…According to All Science Classification Codes (ASJC), there are four major fields of science: life sciences (including five sub-fields 3 ), social sciences (which includes six sub-fields 4 ), physical sciences (including ten sub-fields 5 ), and health 3 (1) agricultural and biological sciences (2) biochemistry, genetics and molecular biology (3) immunology and microbiology (4) neuroscience and (5) pharmacology, toxicology and pharmaceutics 4 (1) arts and humanities (2) business, management and accounting (3) decision sciences (4) economics, econometrics and finance (5) psychology and (6) other social sciences 5 (1) chemical engineering (2) chemistry (3) computer science (4) earth and planetary sciences (5) energy (6) engineering (7) environmental science (8) materials science (9) mathematics and (10) physics and astronomy sciences (which includes five sub-fields 6 ). Each publication venue in Scopus is classified by possibly multiple ASJC codes which determine the fields and subfields of the topics they cover.…”

Section: Four Fields and 26 Sub-fields Of Scholarshipmentioning

confidence: 99%

“…Russia is not an exception in the global international migration system: a large part of its population is actively on the move for various reasons [14]. Russia is also an attractive destination for some international migrants, especially migrants from former Soviet Union countries [6,30]. Moreover, some migrants may consider Russia as a transit stop for further migration to other countries [32].…”

Section: Introductionmentioning

confidence: 99%

Brain drain and brain gain in Russia: analyzing international mobility of researchers by discipline using Scopus bibliometric data

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2020

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Migration from Uzbekistan to Russia: Push-Pull Factor Analysis

Cited by 3 publications

References 1 publication

Brain drain and brain gain in Russia: Analyzing international migration of researchers by discipline using Scopus bibliometric data 1996–2020

Brain drain and brain gain in Russia: Analyzing international migration of researchers by discipline using Scopus bibliometric data 1996–2020

Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg

Brain drain and brain gain in Russia: analyzing international mobility of researchers by discipline using Scopus bibliometric data

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