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Identifying the Socio-Spatial Logics of Foreclosed Housing Accumulated by Large Private Landlords in Post-Crisis Catalan Cities
Identifying the Socio-Spatial Logics of Foreclosed Housing Accumulated by Large Private Landlords in Post-Crisis Catalan Cities
The article analyses the socio-spatial logic behind the accumulation of foreclosed housing in the hands of large private landlords in the neighbourhoods of all the Catalan cities with over 100,000 inhabitants. Spatial regression and clustering techniques are applied to identify the determinants of the concentration patterns of 10,725 housing units in these cities. The socioeconomic variables, such as income level, percentage of foreign population, level of studies or percentage of unemployed residents, are identified as key explanatory factors of clustering of foreclosures in working-class neighbourhoods. A high presence of previously mortgaged homes is a variable especially relevant in the case of working-class neighbourhoods, but it has no incidence in the case of the medium-high class neighbourhoods. Our findings provide a detailed urban geography of the housing accumulated by banks which, at the same time, correspond to areas in which the vulture funds are focusing their business in the present and in the forthcoming years. New evidences of the spatial logic of the housing crisis and detailed information for the understanding of the new scenarios that have emerged during the post-crisis phase are revealed.
Territorial, Earth and planetary sciences (miscellaneous), Computer Science, Information Systems,Computers in Earth Sciences,Earth and Planetary Sciences (Miscellaneous),Geography, Physical,Geography, Planning and Development,Remote Sensing, Ciências agrárias i, K-means clustering, Evictions, Geography, planning and development, Crisis, Family mortgage foreclosures, Foreclosures, Engenharias i, Ciências ambientais, Zootecnia / recursos pesqueiros, Ciencias sociales, Medicina veterinaria, Geociências, Computer science, information systems, Bubble, Geography, Geografía, Spatial error model, Biodiversidade, Spatial analysis, Real-estate, Remote sensing, Geography, physical, Dispossession, Moran's i, Saúde coletiva, Housing crisis, Impact, Spain, Computers in earth sciences, Ciência da computação
Territorial, Earth and planetary sciences (miscellaneous), Computer Science, Information Systems,Computers in Earth Sciences,Earth and Planetary Sciences (Miscellaneous),Geography, Physical,Geography, Planning and Development,Remote Sensing, Ciências agrárias i, K-means clustering, Evictions, Geography, planning and development, Crisis, Family mortgage foreclosures, Foreclosures, Engenharias i, Ciências ambientais, Zootecnia / recursos pesqueiros, Ciencias sociales, Medicina veterinaria, Geociências, Computer science, information systems, Bubble, Geography, Geografía, Spatial error model, Biodiversidade, Spatial analysis, Real-estate, Remote sensing, Geography, physical, Dispossession, Moran's i, Saúde coletiva, Housing crisis, Impact, Spain, Computers in earth sciences, Ciência da computação
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!The article analyses the socio-spatial logic behind the accumulation of foreclosed housing in the hands of large private landlords in the neighbourhoods of all the Catalan cities with over 100,000 inhabitants. Spatial regression and clustering techniques are applied to identify the determinants of the concentration patterns of 10,725 housing units in these cities. The socioeconomic variables, such as income level, percentage of foreign population, level of studies or percentage of unemployed residents, are identified as key explanatory factors of clustering of foreclosures in working-class neighbourhoods. A high presence of previously mortgaged homes is a variable especially relevant in the case of working-class neighbourhoods, but it has no incidence in the case of the medium-high class neighbourhoods. Our findings provide a detailed urban geography of the housing accumulated by banks which, at the same time, correspond to areas in which the vulture funds are focusing their business in the present and in the forthcoming years. New evidences of the spatial logic of the housing crisis and detailed information for the understanding of the new scenarios that have emerged during the post-crisis phase are revealed.