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Moving Up

Migration between Levels of the Settlement Hierarchy in Russia in the 2010s

Bibliographic Data

ID21219260
AuthorsN V Mkrtchyan (National Research University Higher School of Economics, corresponding author), R I Gilmanov (Institute of Social and Economic Studies of Population)
Year2023
Volume13
Issue2
Pages305-315
Publication date2023-06-01
Open AccessYes
TypeARTICLE
VenueRegional Research of Russia (JOURNAL)
Journal identifiersISSN: 2079-9713 • E-ISSN: 2079-9705
PublisherPleiades Publishing Ltd (PUBLISHER)
DOI10.1134/s2079970523700727
OpenAlexW4381490933
LanguageEN
Citations received7
References cited24

Based on Russian data for 2011–2020, the population flow between seven levels of the settlement hierarchy has been estimated for the first time. Levels of the settlement hierarchy are represented by cities with different population sizes and their suburbs, as well as other urban and rural settlements. Indicators of migration increase (decrease) and demographic efficiency indicators in matrix form are calculated for the hierarchy levels. It is shown that the scale of this flow is affected by changes in the system of migration registration in Russia in the 2010s, namely, the auto return of migrants to their place of permanent residence after the end of the registration period at their temporary place of residence. The beneficiaries of “vertical migration” of population are cities with over 250 000 inhabitants; the biggest winners are the urban agglomerations of Moscow and St. Petersburg. Each next settlement hierarchy level gives the population “up” and receives replenishment from the lower “layers.” In contrast to countries where similar studies were conducted (United States, Canada, the Netherlands, etc.), there are no population flows from top to bottom in Russia, and upward flows have a very high efficiency; it is particularly high for Moscow, St. Petersburg, and their suburbs. Despite population movement between neighboring settlement hierarchy levels, its demographic effect is not as great as in jumpwise migrations. The calculations of the study are based on individual depersonalized migrant data, which made it possible to categorize migration flows to individual settlements in Russia. Spatial data referencing was carried out based on Rosstat codes unique for each settlement. This made it possible to analyze migration not between administrative units, but between settlements grouped by population size. It was also possible to identify how the peculiarities of accounting for migration influence population flow between the selected groups of settlements in the 2010s

Archaeology · Business · Demographic economics · Economic geography · Economics · Economy · Geography · Hierarchy · Human settlement · Population · Residence · Sociology · Urban agglomeration · Urban hierarchy · Demography · Migration, Aging, and Tourism Studies · Regional Socio-Economic Development Trends · Urbanization and City Planning

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Citations per year2.33
Citation span2023 - 2026 (4)
Highly citedNo

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