Socio-spatial Inequalities in a Context of "Great Economic Wealth" Case study of neighbourhoods of Luxembourg City

In spite of being one of the smallest and wealthiest countries in the European Union in terms of GDP per capita, Luxembourg is facing socioeconomic challenges due to recent rapid urban transformations. This article contributes by approaching this phenomenon at the most granular and rarely analysed geographical level-the neighbourhoods of the capital, Luxembourg City. Based on collected empirical data covering various socio-demographic dimensions for 2020-2021, an ascending hierarchical classification on principal components is set out to establish neighbourhoods' socio-spatial patterns. In add... Mehr ...

Verfasser: Zdanowska, Natalia
Dokumenttyp: preprint
Erscheinungsdatum: 2023
Verlag/Hrsg.: HAL CCSD
Schlagwörter: Socio-spatial inequalities neighbourhoods Luxembourg City principal component analysis ascending hierarchical classification Chi² analysis / Socio-spatial inequalities / neighbourhoods / Luxembourg City / principal component analysis / ascending hierarchical classification / Chi² analysis / [SHS.GEO]Humanities and Social Sciences/Geography
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27128208
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://shs.hal.science/halshs-04164486

In spite of being one of the smallest and wealthiest countries in the European Union in terms of GDP per capita, Luxembourg is facing socioeconomic challenges due to recent rapid urban transformations. This article contributes by approaching this phenomenon at the most granular and rarely analysed geographical level-the neighbourhoods of the capital, Luxembourg City. Based on collected empirical data covering various socio-demographic dimensions for 2020-2021, an ascending hierarchical classification on principal components is set out to establish neighbourhoods' socio-spatial patterns. In addition, Chi² tests are carried out to examine residents' socio-demographic characteristics and determine income inequalities in neighbourhoods. The results reveal a clear socio-spatial divide along a north-west/south-east axis. Moreover, classical factors such as gender or citizenship differences are revealed to be poorly determinant of income inequalities compared with the proportion of social benefits recipients and single residents.