Mapping the Multifaceted Patterns of Industrial Districts: A New Empirical Procedure with Application to Italian Data

Jacopo Canello*, Paolo Pavone

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

22 Citations (Scopus)

Abstract

Canello J. and Pavone P. Mapping the multifaceted patterns of industrial districts: a new empirical procedure with application to Italian data, Regional Studies. This paper illustrates an innovative algorithm to map and classify industrial districts. The theoretical framework uses the Sforzi procedure as a basis for the analysis, revising the main criteria proposed by the original approach. The methodology is tested on the 2001 Italian Census of Industry and Services to allow comparison between the two algorithms. The results show the effectiveness of the new method in identifying industrial districts, without causing distortions to the original framework. The classification proposed allows one to discriminate the areas identified by the procedure according to their structural characteristics, contributing to the unveiling of the diversity underlying the industrial district phenomenon.

Original languageEnglish
Pages (from-to)1374-1387
Number of pages14
JournalRegional Studies
Volume50
Issue number8
DOIs
Publication statusPublished - 2-Aug-2016
Externally publishedYes

Keywords

  • Agglomeration
  • Algorithm
  • Cluster
  • Industrial districts
  • Mapping

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