IDEAS home Printed from https://ideas.repec.org/h/spr/adspcp/978-3-540-24760-9_11.html
   My bibliography  Save this book chapter

Skills and Clusters

In: Innovation Clusters and Interregional Competition

Author

Listed:
  • Antonio Ciccone

    (Universitat Pompeu Fabra
    CEPR
    IZA)

  • Federico Cingano

    (Universitat Pompeu Fabra
    Bank of Italy)

Abstract

There is a by now large literature on the effects of agglomeration on productivity and wages. The (empirical) question asked is the following: How much higher is productivity (and hence wages) in locations where production agglomerates. Several measures of agglomeration are used. The most common one is the volume of production quantified by employment. Some of the main contributions relying on this measure of agglomeration are Henderson (1986, 1988), Segal (1976), and Sveikauskas (1975). Another measure of agglomeration is the density of production quantified by employment per unit of space in a location. This is the measure used in Ciccone and Hall (1996) for example. The results in this literature suggest that, roughly, doubling employment in a location increases productivity and wages by 4 to 6 percent. Although this result is based mostly on US data, there is evidence that it also holds across European countries (Ciccone (2002)).

Suggested Citation

  • Antonio Ciccone & Federico Cingano, 2003. "Skills and Clusters," Advances in Spatial Science, in: Johannes Bröcker & Dirk Dohse & Rüdiger Soltwedel (ed.), Innovation Clusters and Interregional Competition, chapter 11, pages 218-237, Springer.
    • Handle: RePEc:spr:adspcp:978-3-540-24760-9_11
    DOI: 10.1007/978-3-540-24760-9_11
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Brunello, Giorgio & De Paola, Maria, 2008. "Training and economic density: Some evidence form Italian provinces," Labour Economics, Elsevier, vol. 15(1), pages 118-140, February.
    2. Zouaghi, Ferdaous & Hirsch, Stefan & Garcia, Mercedes Sanchez, 2016. "What Drives Firm Profitability? A Multilevel Approach To The Spanish Agri-Food Sector," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244762, German Association of Agricultural Economists (GEWISOLA).

    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:spr:adspcp:978-3-540-24760-9_11. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.