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Spatial analysis of clustering of foreclosures in the poorest-quality housing urban areas: Evidence from Catalan cities

  • Datos identificativos

    Identificador: imarina:3658270
    Autores:
    Gutierrez, Aaron Arauzo-Carod, Josep-Maria
    Resumen:
    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
  • Otros:

    Autor según el artículo: Gutierrez, Aaron Arauzo-Carod, Josep-Maria
    Departamento: Geografia Economia
    e-ISSN: 2220-9964
    Autor/es de la URV: Arauzo Carod, Josep Maria / Gutiérrez Palomero, Aaron
    Palabras clave: Ripley's k moran's i Nearest-neighbor index Foreclosures Evictions Clustering Catalonia
    Resumen: 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
    Grupo de investigación: GRATET. Anàlisi Territorial i Estudis Turístics
    Áreas temáticas: Zootecnia / recursos pesqueiros Saúde coletiva Remote sensing Medicina veterinaria Geography, planning and development Geography, physical Geografía Geociências Engenharias i Earth and planetary sciences (miscellaneous) Computers in earth sciences Computer science, information systems Ciencias sociales Ciências ambientais Ciências agrárias i Ciência da computação Biodiversidade
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 22209964
    Direcció de correo del autor: aaron.gutierrez@urv.cat josepmaria.arauzo@urv.cat
    Identificador del autor: 0000-0003-0557-6319 0000-0002-3801-223X
    Fecha de alta del registro: 2024-09-07
    Volumen de revista: 7
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://www.mdpi.com/2220-9964/7/1/23
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Isprs International Journal Of Geo-Information. 7 (1): 23-
    Referencia de l'ítem segons les normes APA: Gutierrez, Aaron Arauzo-Carod, Josep-Maria (2018). Spatial analysis of clustering of foreclosures in the poorest-quality housing urban areas: Evidence from Catalan cities. Isprs International Journal Of Geo-Information, 7(1), 23-. DOI: 10.3390/ijgi7010023
    DOI del artículo: 10.3390/ijgi7010023
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2018
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Computer Science, Information Systems,Computers in Earth Sciences,Earth and Planetary Sciences (Miscellaneous),Geography, Physical,Geography, Planning and Development,Remote Sensing
    Ripley's k
    moran's i
    Nearest-neighbor index
    Foreclosures
    Evictions
    Clustering
    Catalonia
    Zootecnia / recursos pesqueiros
    Saúde coletiva
    Remote sensing
    Medicina veterinaria
    Geography, planning and development
    Geography, physical
    Geografía
    Geociências
    Engenharias i
    Earth and planetary sciences (miscellaneous)
    Computers in earth sciences
    Computer science, information systems
    Ciencias sociales
    Ciências ambientais
    Ciências agrárias i
    Ciência da computação
    Biodiversidade
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