Advanced Search
MyIDEAS: Login

Explaining Spatial Variation in Business Performance in Great Britain

Contents:

Author Info

  • Don J. Webber
  • Martin Boddy
  • Anthony Plumridge

Abstract

Labour productivity rates are known to vary across UK regions. Although some empirical studies seek to explain the source of these differences using aggregate, regional data we argue that this may be inappropriate because labour productivity rates are firm-specific. This paper employs cross-sectional regression analysis and British, firm-level data to identify empirically whether firm-level labour productivity rates are affected by factors that vary spatially. It focuses in particular on a measure of "economic potential" based on a gravity-type model of economic potential. Initial estimates suggest that economic potential is important but its impact diminishes with the introduction of further explanatory variables. Nevertheless, even once interaction terms are included the effect of economic potential remains important. It suggests the clear need to take account of space in firm-level regressions.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://eaces.liuc.it/18242979200702/182429792007040208.pdf
Download Restriction: no

Bibliographic Info

Article provided by Cattaneo University (LIUC) in its journal The European Journal of Comparative Economics.

Volume (Year): 4 (2007)
Issue (Month): 2 (September)
Pages: 319-332

as in new window
Handle: RePEc:liu:liucej:v:4:y:2007:i:2:p:319-332

Contact details of provider:
Postal: Corso Matteotti 22 - Castellanza (VA) 21053
Phone: +39 (0)331-572 1
Fax: +39 (0)331-572 320
Email:
Web page: http://eaces.liuc.it/default.asp
More information through EDIRC

Related research

Keywords: Productivity per Employee; Economic Potential; HM Treasury's key Drivers;

Find related papers by JEL classification:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:liu:liucej:v:4:y:2007:i:2:p:319-332. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Piero Cavaleri).

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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