IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Too Large or Too Small? Returns to Scale in a Retail Network

Listed author(s):
  • Frantisek Brazdik
  • Viliam Druska

Performance in retailing is usually evaluated by routine use of ratio analysis, but due to the univariate nature of this simple management tool there are many drawbacks to the obtained results. Therefore, the aim of this study is to demonstrate successful employment of parametric and non–parametric methods for evaluating technical performance in retailing. We also show how to utilize DEA results, when parametric methods do not satisfactorily perform due to their strict distributional assumptions. Results of this study are used to optimize the retail chain of a European mobile telecommunication network operator by providing estimates of and recommendations for improvements in the productive efficiency of the chain operations. Estimates of store–level technical and scale efficiency indicate that a majority of stores are operating in the decreasing returns to scale region of the production possibility set. The employed methodology allows us to identify input excesses and to address a means of reducing them.

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:
Download Restriction: no

Paper provided by The Center for Economic Research and Graduate Education - Economics Institute, Prague in its series CERGE-EI Working Papers with number wp273.

in new window

Date of creation: Sep 2005
Handle: RePEc:cer:papers:wp273
Contact details of provider: Postal:
P.O. Box 882, Politickych veznu 7, 111 21 Praha 1

Phone: (+420) 224 005 123
Fax: (+420) 224 005 333
Web page:

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

in new window

  1. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
Full references (including those not matched with items on IDEAS)

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

When requesting a correction, please mention this item's handle: RePEc:cer:papers:wp273. 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: (Jana Koudelkova)

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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.