Identifying the effect of retail brands on private residential rental prices in Great Britain.

Great Britain Housing Private Rental Propensity Score Matching Retail

Journal

Journal of housing and the built environment : HBE
ISSN: 1573-7772
Titre abrégé: J Hous Built Environ
Pays: Netherlands
ID NLM: 101718347

Informations de publication

Date de publication:
2022
Historique:
received: 22 12 2020
accepted: 18 09 2021
pubmed: 12 10 2021
medline: 12 10 2021
entrez: 11 10 2021
Statut: ppublish

Résumé

This study extends our understanding of the influence of proximity to retail grocery provision on housing rental prices. To achieve this, extensive data on the size and location of retail outlets are combined with neighbourhood rental values for small areas across a two year period, together with varied contextual data for each area. In order to control the influence of many confounding variables in the determination of housing rentals, the technique of propensity score matching is applied. This provides a sophisticated means for the comparison between areas where there is substantial natural variation, rather than manageable controls. For a variety of types of retail brands, only a significant relationship is found between the proximity of a Premium retail outlet and the housing rental value. The findings of this research allow local planning officers to further understand the impact of planning applications on the potential for gentrification and the affordability of neighbouring housing. The online version contains supplementary material available at 10.1007/s10901-021-09904-2.

Identifiants

pubmed: 34629998
doi: 10.1007/s10901-021-09904-2
pii: 9904
pmc: PMC8491747
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1489-1509

Informations de copyright

© The Author(s) 2021.

Déclaration de conflit d'intérêts

Conflict of interestNone of the authors have any conflicts or competing matters of interest.

Auteurs

Stephen Clark (S)

School of Geography, University of Leeds, LEEDS, LS2 9JT UK.
Leeds Institute for Data Analytics and School of Geography, University of Leeds, LEEDS, LS2 9JT UK.

Nick Hood (N)

School of Geography, University of Leeds, LEEDS, LS2 9JT UK.

Mark Birkin (M)

Leeds Institute for Data Analytics and School of Geography, University of Leeds, LEEDS, LS2 9JT UK.

Classifications MeSH