IDEAS home Printed from https://ideas.repec.org/a/eme/jpifpp/v28y2010i1p6-23.html
   My bibliography  Save this article

Spatial concentration in industrial real estate

Author

Listed:
  • Peter Byrne
  • Stephen Lee

Abstract

Purpose - This paper seeks to examine the extent of real estate investment concentration in institutional industrial portfolios at these same two points in time. Design/methodology/approach - To examine this issue two datasets are used at two dates, 1998 and 2003. The analysis is confined to England and Wales because of data considerations relating to the availability of comparable data for the rest of the UK. The first dataset relates to floor space and rateable value statistics for the so‐called “bulk classes” of commercial property at Unitary Authority and District (local authority area, LA) level. The more specific institutional real estate investment data for the study come from the IPD analysis “UK Local Markets”. This provides a detailed view of the performance of institutional real estate investment, by sector, in a number of localities across the UK. For the purposes of this study, IPD made data available showing (but with much less detail) other LAs where the number of properties held was greater than zero, but fewer than the four required normally for disclosure. The approach taken is to map the basic data and the results from a standardising measure of spatial concentration – the Location Quotient. Findings - The findings show that industrial investment concentration is between that of retail and offices and is focused on LAs with high levels of manual workers in areas with smaller industrial units. It also shows that during the period studied the structure of the sector changed, with greater emphasis on the distributional (logistic) element, for which location is a principal consideration. Historically, the sector has provided consistently good total returns with low risk, and was the only sector to expand in terms of numbers of institutionally invested units over the study period. While industrial real estate assets generally do not attract as much capital growth as other sectors, especially in boom periods, rents continued to grow in the period under study. Taken together with the relative resilience in the sector's performance seen over successive cycles, it is not surprising that significant institutional enthusiasm was evidenced. Originality/value - Using data sets that account for the entire “population” of observations at these two dates the paper demonstrates the relationships between economic theory and the market performance of the sector. The comparisons with the other main sectors also show the differences that would be expected between the sectors, emphasising the point that these markets are dynamic and that their structure, form and content can change dramatically even over quite short periods.

Suggested Citation

  • Peter Byrne & Stephen Lee, 2010. "Spatial concentration in industrial real estate," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 28(1), pages 6-23, February.
  • Handle: RePEc:eme:jpifpp:v:28:y:2010:i:1:p:6-23
    DOI: 10.1108/14635781011020001
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/14635781011020001/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/14635781011020001/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/14635781011020001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Linyan Wang & Haiqing Hu & Xianzhu Wang, 2022. "The Dynamic Evolution of the Structure of an Urban Housing Investment Niche Network and Its Underlying Mechanisms: A Case Study of 35 Large and Medium-Sized Cities in China," Sustainability, MDPI, vol. 14(6), pages 1-21, March.
    2. Linyan Wang & Haiqing Hu & Xianzhu Wang & Xincheng Zhang & Hao Sun, 2022. "Spatiotemporal Evolution and Cause Analysis of Urban Housing Investment Resilience: An Empirical Study of 35 Large and Medium-Sized Cities in China," Land, MDPI, vol. 11(10), pages 1-20, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eme:jpifpp:v:28:y:2010:i:1:p:6-23. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Emerald Support (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.