Use this identifier to quote or link this document: http://hdl.handle.net/2072/306549

Spatial Analysis of Clustering of Foreclosures in the Poorest-Quality Housing Urban Areas: Evidence from Catalan Cities
Gutiérrez Palomero, Aaron; Arauzo Carod, Josep Maria
Universitat Rovira i Virgili. Departament d'Economia
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
2018
332 - Economia regional i territorial. Economia del sòl i de la vivenda
Execució hipotecària
Desnonament
Béns immobles
Bancs
Catalunya
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/
20 p.
Working Paper
Universitat Rovira i Virgili. Centre de Recerca en Economia Industrial i Economia Pública
Documents de treball del Departament d'Economia;2018-06
         

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