IDEAS home Printed from https://ideas.repec.org/p/egu/wpaper/0602.html
   My bibliography  Save this paper

Networks and heterogeneous performance of cluster firms

Author

Listed:
  • Elisa Giuliani

Abstract

This paper explores the relationship existing among the heterogeneous nature of firms in industrial clusters, their structural position in knowledge networks and their performance. Following the rising interest for spatially agglomerated industrial firms and their learning and innovative potential the paper shows empirically that the performance of firms in clusters is related with firm-level knowledge endowments and their position in the knowledge network using firm-level data on three wine clusters.

Suggested Citation

  • Elisa Giuliani, 2006. "Networks and heterogeneous performance of cluster firms," Papers in Evolutionary Economic Geography (PEEG) 0602, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jan 2006.
  • Handle: RePEc:egu:wpaper:0602
    as

    Download full text from publisher

    File URL: http://econ.geo.uu.nl/peeg/peeg0602.pdf
    File Function: Version January 2006
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maureen McKelvey & Bastian Rake, 2012. "Research Network Position and Innovative Performance: Evidence from the Pharmaceutical Industry," Jena Economics Research Papers 2012-021, Friedrich-Schiller-University Jena.
    2. Gebreeyesus, Mulu & Mohnen, Pierre, 2013. "Innovation Performance and Embeddedness in Networks: Evidence from the Ethiopian Footwear Cluster," World Development, Elsevier, vol. 41(C), pages 302-316.
    3. Vas, Zsófia & Gyurkovics, János, 2021. "Összefüggések a hálózatok jellemzői és a vállalkozások innovációs teljesítménye között. Szakirodalmi áttekintés [What kind of relationship can be identified between network characteristics and the ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1171-1190.
    4. Tödtling, Franz & Lehner, Patrick & Kaufmann, Alexander, 2008. "Do different types of innovation rely on specific kinds of knowledge interactions?," SRE-Discussion Papers 2008/01, WU Vienna University of Economics and Business.

    More about this item

    Keywords

    knowledge networks; clusters; firm performance; evolutionary economics; wine sector;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:egu:wpaper:0602. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/deguunl.html .

    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.