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

Die Shift-Share-Analyse als Instrument der Regional- und Clusterforschung

Listed author(s):
  • Farhauer, Oliver
  • Kröll, Alexandra
Registered author(s):

    Die Shift-Share-Analyse wird insbesondere in der Regionalökonomik häufig angewandt, um die Entwicklungsdynamik von Regionen im Vergleich zu übergeordneten Regionen abschätzen zu können. In diesem Aufsatz wird das Konzept der klassischen Shift-Share-Analyse nach Dunn (1960) leicht nachvollziehbar anhand eines Beispiels dargestellt. Dieses Verfahren eignet sich dazu, einen ersten Eindruck der wirtschaftlichen Entwicklung, häufig der Beschäftigungsentwicklung, von Regionen zu gewinnen. Allerdings ist die Shift-Share-Analyse rein deskriptiv, weshalb ihr Erkenntniswert in der Literatur immer wieder kritisiert wird. Ein Instrument, das die kritisierten Mängel an der Shift-Share-Analyse behebt, ist die Shift-Share-Regression, deren Grundzüge ebenfalls dargestellt werden.

    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 University of Passau, Faculty of Business and Economics in its series Passauer Diskussionspapiere, Volkswirtschaftliche Reihe with number V-59-09.

    in new window

    Date of creation: 2009
    Handle: RePEc:zbw:upadvr:v5909
    Contact details of provider: Postal:
    94030 Passau

    Phone: ++49 (0)851 509 0
    Fax: ++49 (0)851 509 1005
    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. Oliver FRITZ & Gerhard STREICHER, "undated". "Measuring Changes in Regional Competitiveness Over Time - a Shift-Share Regression Exercise," EcoMod2004 330600055, EcoMod.
    2. F.J.B. Stilwell, 1969. "Regional Growth and Structural Adaptation," Urban Studies, Urban Studies Journal Limited, vol. 6(2), pages 162-178, June.
    3. Esteban-Marquillas, J. M., 1972. "I. A reinterpretation of shift-share analysis," Regional and Urban Economics, Elsevier, vol. 2(3), pages 249-255, October.
    4. D C Knudsen & R Barff, 1991. "Shift-Share Analysis as a Linear Model," Environment and Planning A, , vol. 23(3), pages 421-431, March.
    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:zbw:upadvr:v5909. 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: (ZBW - German National Library of Economics)

    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.