EconPapers    
Economics at your fingertips  
 

Location and co-location in retail: a probabilistic approach using geo-coded data for metropolitan retail markets

Johan Larsson and Özge Öner ()

The Annals of Regional Science, 2014, vol. 52, issue 2, 385-408

Abstract: In this paper, we employ geo-coded data at a fine spatial resolution for Sweden’s metropolitan areas to assess retail co-location. Retail clusters and their place in urban space are assessed from several angles. The probability of a specific type of retail unit to be established in a 250 by 250 m square is modelled as a function of (i) the presence of other similar retail establishments, (ii) the presence of stores that belong to other retail sectors and (iii) other characteristics of the square area, and its access to demand in the pertinent urban landscape. The analysis clarifies which types of retail clusters one can expect to find in a metropolitan region, as well as their relationship to the urban landscape. We analyse three distinct types of stores: clothing, household appliances, and specialized stores. Stores with high intensities of interaction are co-located, and predominantly located close to the urban cores, consistent with predictions from bid rent theory and central place theory. We further document negative location tendencies between shops that sell frequently purchased products and shops that sell durables. Moreover, our results highlight the importance of demand in the close surroundings, which is particularly strong for small-scale establishments. Copyright Springer-Verlag Berlin Heidelberg 2014

Keywords: L81; R14; R10 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9) Track citations by RSS feed

Downloads: (external link)
http://hdl.handle.net/10.1007/s00168-014-0591-7 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:anresc:v:52:y:2014:i:2:p:385-408

Ordering information: This journal article can be ordered from
http://link.springer.com/journal/168

DOI: 10.1007/s00168-014-0591-7

Access Statistics for this article

The Annals of Regional Science is currently edited by Martin Andersson, E. Kim and Janet E. Kohlhase

More articles in The Annals of Regional Science from Springer, Western Regional Science Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2021-05-10
Handle: RePEc:spr:anresc:v:52:y:2014:i:2:p:385-408