Types of spatial mobility and change in people’s ethnic residential contexts
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Background : Most studies of the ethnic composition of destination neighbourhoods after residential moves do not take into account the types of moves people have made. However, from an individual perspective, different types of moves may result in neighbourhood environments which differ in terms of their ethnic composition from those in which the individuals previously lived. Objective : We investigate how the ethnic residential context changes for individuals as a result of different types of mobility (immobility, intra-urban mobility, suburbanisation, and long-distance migration) for residents of the segregated post-Soviet city of Tallinn. We compare the extent to which Estonian and Russian speakers integrate in residential terms. Methods : Using unique longitudinal Census data (2000-2011) we tracked changes in the individual ethnic residential context of both groups. Results : We found that the moving destinations of Estonian and Russian speakers diverge. When Estonians move, their new neighbourhood generally possesses a lower percentage of Russian speakers compared with when Russian speakers move, as well as compared with their previous neighbourhoods. For Russian speakers, the percentage of other Russian speakers in their residential surroundings decreases only for those who move to the rural suburbs or who move over longer distances to rural villages. Contribution : By applying a novel approach of tracking the changes in the ethnic residential context of individuals for all mobility types, we were able to demonstrate that the two largest ethnolinguistic groups in Estonia tend to behave as ‘parallel populations’ and that residential integration remains slow.
Mägi , K , Leetmaa , K , Tammaru , T & van Ham , M 2016 , ' Types of spatial mobility and change in people’s ethnic residential contexts ' Demographic Research , vol 34 , no. 41 , pp. 1161-1192 . DOI: 10.4054/DemRes.2016.34.41
© 2016 Kadi Mägi et al. This open-access work is published under the terms of the Creative Commons Attribution NonCommercial License 2.0 Germany, which permits use, reproduction & distribution in any medium for non-commercial purposes, provided the original author(s) and source are given credit. See http://creativecommons.org/licenses/by-nc/2.0/de/
This research received funding from the following sources: Institutional Research Grant No. IUT2-17 of the Ministry of Education and Science Estonia; Grant No. 9247 of the Estonian Science Foundation; the European Research Council under the EU FP7 Programme (FP/2007-2013) / ERC Grant Agreement n. 615159 (ERC Consolidator Grant DEPRIVEDHOODS, Socio-spatial inequality, deprived neighbourhoods, and neighbourhood effects), the Marie Curie programme under the EU FP7 Programme (FP/2007-2013) / Career Integration Grant n. PCIG10-GA-2011-303728 (CIG Grant NBHCHOICE, Neighbourhood choice, neighbourhood sorting, and neighbourhood effects).
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