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

The Internal Heterogeneity of Industrial Districts in Italy, Brazil and Mexico

  • Roberta Rabellotti
  • Hubert Schmitz

RABELLOTTI R. and SCHMITZ H. (1999) The internal heterogeneity of industrial districts in Italy, Brazil and Mexico, Reg. Studies 33 , 97-108. Industrial districts have attracted the attention of development economists in the search for new models of industrial development. Many case studies have shown that clustering helps local enterprises to overcome growth constraints and compete in distant markets. However, empirical studies also reveal shortcomings of the industrial district model. This paper shows that, within the districts, there is enormous heterogeneity by size and performance. Even though clustering firms feed on each other, they vary a great deal in the strategies they employ and the growth they achieve. This internal heterogeneity is investigated for three cases: the shoe industries in Italy, Brazil and Mexico. RABELLOTTI R. et SCHMITZ H. (1999) La heterogeneite interne des zones industrielles en Italie, au Bresil et au Mexique, Reg. Studies 33 , 97-108. Les zones industrielles ont attire l'attention des economistes de developpement a la recherche de nouveaux modeles du developpement industriel. Nombreuses sont les etudes de cas qui ont demontre comment le processus d'agglomeration aide les entreprises locales a surmonter les contraintes de croissance et a prendre pied sur les marches exterieurs. Toujours est-il que les etudes empiriques laissent voir certains points faibles du modele des zones industrielles. Cet article montre la variation importante au sein des zones de la heterogeneite en fonction de la taille et de la performance. Bien que les entreprises agglomerees dependent les unes des autres, elles varient sensiblement pour ce qui est des strategies qu'elles mettent en oeuvre et de la croissance qu'elles realisent. On examine la heterogene �ite a partir de trois etudes de cas: a savoir, l'industrie de la chaussure en Italie, au Bresil et au Mexique. RABELLOTTI R. und SCHMITZ H. (1999) Die interne Ungleichartigkeit von Industriegebieten in Italien, Brasilien und Mexiko, Reg. Studies 33 , 97-108. Industriegebiete haben die Aufmerksamkeit von Wirtschaftswissenschaftlern mit besonderem Interesse in Entwicklungsfragen auf sich gezogen, die auf der Suche nach neuen Modellen der industriellen Entwicklung sind. Viele Fallstudien haben bereits aufgezeigt, dass Kluster den Unternehmen am Orte helfen, Wachstumsbeschrankungen zu uberwinden und in entfernten Markten zu konkurrien. Empirische Studien zeigen allerdings auch Mangel des Industriegebietsmodells auf. Dieser Aufsatz zeigt, dass es innerhalb der Gebiete enorme Unterschiede in Unternehmensgrosse und Leistung gibt. Obschon Firmen in Klustern sich gegenseitig unterstutzen, unterscheiden sie sich sehr in den Strategien, die zur Anwendung gelangen, und im Wachstum, das sie erreichen. Es werden drei Falle interner Ungleichartigkeit untersucht: die Schuhindustrien in Italien, Brasilien und Mexico.

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://www.tandfonline.com/doi/abs/10.1080/00343409950122909
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Taylor & Francis Journals in its journal Regional Studies.

Volume (Year): 33 (1999)
Issue (Month): 2 ()
Pages: 97-108

as
in new window

Handle: RePEc:taf:regstd:v:33:y:1999:i:2:p:97-108
Contact details of provider: Web page: http://www.tandfonline.com/CRES20

Order Information: Web: http://www.tandfonline.com/pricing/journal/CRES20

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.:

as in new window
  1. Schmitz, Hubert, 1995. "Small shoemakers and fordist giants: Tale of a supercluster," World Development, Elsevier, vol. 23(1), pages 9-28, January.
  2. Rabellotti, Roberta, 1995. "Is there an "industrial district model"? Footwear districts in Italy and Mexico compared," World Development, Elsevier, vol. 23(1), pages 29-41, January.
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:taf:regstd:v:33:y:1999:i:2:p:97-108. 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: (Michael McNulty)

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.