Autoři/Authors

Ivana Křížková

Hasman J.

Kategorie/Category

WoS a SCOPUS

Rok publikace/Published

2018

Název publikace/Name

Immigrant groups and the local environment: socio-spatial differentiation in Czech metropolitan areas

Citace/Citation

PŘIDALOVÁ, I., HASMAN, J. (2018): Immigrant groups and the local environment: socio-spatial differentiation in Czech metropolitan areas. Geografisk Tidsskrift-Danish Journal of Geography, 118, č. 1, s. 72-87.

Abstrakt/Abstract

The spatial distribution of immigrant groups is a more relevant topic now than ever before. While the study of this topic has a long tradition in the “traditional” immigration countries, it is rare in the very different context of Central and Eastern Europe, especially at the level of metropolitan areas. This study aims to address this gap by providing an analysis of the spatial distribution of various immigrant groups (defined by country of citizenship) in 17 Czech metropolitan areas, and its determinants. First, we characterize the specific situation of the Czech immigration system. Then we use cluster analysis to create a typology of neighbourhoods and compare the distribution of immigrant groups in each type of neighbourhood. Finally, we use regression analysis to examine which characteristics of the local environment are connected to concentrations of different immigrant groups. We show that the presence of foreigners remains associated with core urban areas. Some predominantly Western citizens act as gentrifiers, being associated with spacious pre-war apartments in prestigious inner-city areas, but there are also signs of suburbanization among more well-off immigrants to Czech metropolitan areas. We identify little evidence of ghettoization of immigrants into socially excluded areas.

URRlab


Urbánní a regionální laboratoř

Katedra sociální geografie
a regionálního rozvoje

Univerzita Karlova
Přírodovědecká fakulta

Kontakt


Albertov 2038/6
128 43 Praha 2 - Nové Město

Kontaktní osoba
Jiří Nemeškal
jiri.nemeskal@natur.cuni.cz
211 951 972


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