IDEAS home Printed from https://ideas.repec.org/a/taf/regstd/v48y2014i5p823-843.html
   My bibliography  Save this article

Assessing the Localization Pattern of German Manufacturing and Service Industries: A Distance-based Approach

Author

Listed:
  • Hyun-Ju Koh
  • Nadine Riedel

Abstract

Koh H.-J. and Riedel N. Assessing the localization pattern of German manufacturing and service industries: a distance-based approach, Regional Studies . This paper assesses the agglomeration pattern of four-digit industries in Germany using a rich data set on the population of German firms. To identify geographical agglomeration, the distance-based approach of Duranton and Overman of 2005 is followed. It is found that the location pattern of 71% of the manufacturing industries departs from randomness in the sense that plants exhibit significant geographical localization. In line with previous studies for the United Kingdom and France, the analysis suggests that especially traditional manufacturing industries exhibit strong localization patterns. Moreover, it is found that geographical localization is not restricted to the manufacturing sector, but that it plays an equally important role for service industries.

Suggested Citation

  • Hyun-Ju Koh & Nadine Riedel, 2014. "Assessing the Localization Pattern of German Manufacturing and Service Industries: A Distance-based Approach," Regional Studies, Taylor & Francis Journals, vol. 48(5), pages 823-843, May.
    • Handle: RePEc:taf:regstd:v:48:y:2014:i:5:p:823-843
    DOI: 10.1080/00343404.2012.677024
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00343404.2012.677024
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00343404.2012.677024?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

    for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    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:taf:regstd:v:48:y:2014:i:5:p:823-843. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CRES20 .

    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.