IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Critical review of cluster mapping studies in Poland

  • Tomasz Brodzicki

    ()

    (Faculty of Economics, University of Gdansk)

The concept of industrial cluster has become one of the most prominent ones both in theoretical discussions, policy making and actual business. It is generally believed that under certain conditions, efficiently performing cluster through positive externalities can become an engine of regional development. Due to potential market imperfections public intervention is frequently required. The concept has gained significance in Eastern and Central European Countries including Poland. Sound cluster-based policy requires a detailed identification of dominant cluster as well as embryonic clusters. In the past few years at the central level of Poland and at the level of some of its provinces (eg. Pomerania, Mazovia, Opole, Silesia) cluster-mapping exercises were performed as part of an effort to modify/inform regional development strategies. Apart from several domestic studies an analysis by an international team for the European Commission for the whole area of Central and Eastern Europe was carried out. The present paper critically reviews the aforementioned studies identifying major methodological bottlenecks. It seems that more emphasis should be placed on the issue of co-location of both vertically related industrial sectors as well as horizontal agglomeration. Spatial autocorrelation should also be included. Appropriate level of sectoral as well as spatial disaggregation of data is of outmost importance.

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://gnu.univ.gda.pl/~keie/aio17.pdf
File Function: First version, 2010
Download Restriction: no

Paper provided by The Univeristy of Gdansk, Faculty of Economics, Economics of European Integration Division in its series Working Papers of Economics of European Integration Division with number 1001.

as
in new window

Length: 20 pages
Date of creation: Aug 2010
Date of revision:
Handle: RePEc:gda:wpaper:1001
Contact details of provider: Postal: Univeristy of Gdansk, Faculty of Economics, ul. Armii Krajowej 119/121, 81-824 Sopot, Poland
Phone: (048) 58 523-13-70
Fax: (048) 58 523-13-70
Web page: http://ekonom.ug.edu.pl/web/keie/index.html?lang=pl

More information through EDIRC

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

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:gda:wpaper:1001. 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: (Tomasz Brodzicki)

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.