dc.contributor |
Universitat Rovira i Virgili. Departament d'Economia |
dc.contributor.author |
Gutiérrez Palomero, Aaron |
dc.contributor.author |
Arauzo Carod, Josep Maria |
dc.date.accessioned |
2018-03-09T14:48:52Z |
dc.date.available |
2018-03-09T14:48:52Z |
dc.date.created |
2018 |
dc.date.issued |
2018 |
dc.identifier.uri |
http://hdl.handle.net/2072/306549 |
dc.format.extent |
20 p. |
dc.language.iso |
eng |
dc.publisher |
Universitat Rovira i Virgili. Centre de Recerca en Economia Industrial i Economia Pública |
dc.relation.ispartofseries |
Documents de treball del Departament d'Economia;2018-06 |
dc.rights |
L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.source |
RECERCAT (Dipòsit de la Recerca de Catalunya) |
dc.subject.other |
Execució hipotecària |
dc.subject.other |
Desnonament |
dc.subject.other |
Béns immobles |
dc.subject.other |
Bancs |
dc.subject.other |
Catalunya |
dc.title |
Spatial Analysis of Clustering of Foreclosures in the Poorest-Quality Housing Urban Areas: Evidence from Catalan Cities |
dc.type |
info:eu-repo/semantics/workingPaper |
dc.subject.udc |
332 - Economia regional i territorial. Economia del sòl i de la vivenda |
dc.embargo.terms |
cap |
dc.rights.accessLevel |
info:eu-repo/semantics/openAccess |
dc.description.abstract |
This paper uses data on housing stock owned by financial entities as a result of foreclosures to
analyze (1) the spatial logic of Spain’s mortgage crisis in urban areas, and (2) the characteristics of
the types of housing most affected by this phenomenon. Nearest-Neighbor Index and Ripley’s K
function analyses were applied in two Catalan cities (Tarragona and Terrassa). The results obtained
show that foreclosures tend to be concentrated in the most deprived neighborhoods. The general
pattern of clustering also tends to be most intense for smaller and cheaper housing. Our findings
show that home foreclosures have been concentrated in only a few neighborhoods and precisely in
those containing the poorest-quality housing stock. They also provide new evidence of the
characteristics and spatial patterns of the housing stock accumulated by banks in Catalonia as a
result of the recent wave of evictions associated with foreclosures.
Keywords: foreclosures; evictions; clustering; Nearest-Neighbor Index; Moran’s I; Ripley’s K; Catalonia |