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dc.contributor.authorSauer, Lenorede
dc.contributor.authorEtte, Andreasde
dc.contributor.authorSteinhauer, Hans Walterde
dc.contributor.authorSiegert, Manuelde
dc.contributor.authorTanis, Kerstinde
dc.date.accessioned2023-09-05T10:40:43Z
dc.date.available2023-09-05T10:40:43Z
dc.date.issued2023de
dc.identifier.issn1869-8999de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/88962
dc.description.abstractSince the beginning of the Russian invasion of Ukraine on February 24, 2022, many people have fled the war and left their home country. By the end of January 2023, more than one million Ukrainian refugees had been registered in Germany alone. In contrast to refugees from other countries of origin in Germany, Ukrainian citizens can choose their place of residence if they have either found private accommodation with family members or friends or do not claim state support. However, little information exists on where within Germany Ukrainian refugees have moved and why certain regions are potentially more attractive than others. There exists a substantial literature on the location choices of migrants in general, showing that the existing level of immigrant concentration is an important determinant, while economic factors have a smaller effect - if not in the initial location choice after immigration, then at least in later location decisions. Whereas these studies mainly focus on labour migrants, research on refugees' location choices is still scarce, because refugees are usually assigned to specific places of residence by the authorities in many European countries. In the context of forced migration, spatial patterns may therefore largely be related to administrative decisions. In this paper, we aim to answer the question of the settlement patterns of recently arrived refugees from Ukraine in Germany by using current data from the Central Register of Foreigners. These patterns are modelled on the NUTS-3 level and consider the proportion of previous Ukrainian migrants living within those regions as well as additional economic, demographic, and geographical factors. Spatial regression models show that, on the one hand, Ukrainian refugees indeed settle where the number of Ukrainians is already high. The empirical analyses also indicate a correlation between the spatial patterns of refugees in general and Ukrainian refugees, suggesting that dispersal policies may play a role in explaining settlement patterns. Furthermore, affordable housing and lower rents are important explanatory variables.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherDispersal policies; Regional economic opportunities; Spatial patternsde
dc.titleSpatial Patterns of Recent Ukrainian Refugees in Germany: Administrative Dispersal and Existing Ethnic Networksde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.identifier.urlhttp://www.comparativepopulationstudies.de/index.php/CPoS/article/view/520/380de
dc.source.journalComparative Population Studies - Zeitschrift für Bevölkerungswissenschaft
dc.source.volume48de
dc.publisher.countryDEUde
dc.subject.classozMigrationde
dc.subject.classozMigration, Sociology of Migrationen
dc.subject.classozBevölkerungde
dc.subject.classozPopulation Studies, Sociology of Populationen
dc.subject.thesozUkrainede
dc.subject.thesozUkraineen
dc.subject.thesozFlüchtlingde
dc.subject.thesozrefugeeen
dc.subject.thesozMigrationde
dc.subject.thesozmigrationen
dc.subject.thesozIntegrationde
dc.subject.thesozintegrationen
dc.subject.thesozWohnortwahlde
dc.subject.thesozchoice of place of residenceen
dc.subject.thesozWohnungsmarktde
dc.subject.thesozhousing marketen
dc.subject.thesozNetzwerkde
dc.subject.thesoznetworken
dc.subject.thesozethnische Gruppede
dc.subject.thesozethnic groupen
dc.subject.thesozDiasporade
dc.subject.thesozdiasporaen
dc.subject.thesozBundesrepublik Deutschlandde
dc.subject.thesozFederal Republic of Germanyen
dc.identifier.urnurn:nbn:de:bib-cpos-2023-11en2de
dc.rights.licenceCreative Commons - Namensnennung, Weitergabe unter gleichen Bedingungen 4.0de
dc.rights.licenceCreative Commons - Attribution-ShareAlike 4.0en
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10064141
internal.identifier.thesoz10043768
internal.identifier.thesoz10034515
internal.identifier.thesoz10038301
internal.identifier.thesoz10062674
internal.identifier.thesoz10062731
internal.identifier.thesoz10053141
internal.identifier.thesoz10039108
internal.identifier.thesoz10041006
internal.identifier.thesoz10037571
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo261-280de
internal.identifier.classoz10304
internal.identifier.classoz10303
internal.identifier.journal60
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.12765/CPoS-2023-11de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence24
internal.identifier.pubstatus1
internal.identifier.review1
internal.dda.referencehttp://www.comparativepopulationstudies.de/index.php/CPoS/oai@@oai:ojs.comparativepopulationstudies.de:article/520


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