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La complessità strutturale dei distretti industriali: un approccio basato sulle similarità multi-dimensionali
Journal Title: SCIENZE REGIONALI  
Author/s: Vittorio Carlei, Massimiliano Nuccio, Pierluigi Sacco, Massimo Buscema 
Year:  2008 Issue: Language: Italian 
Pages:  32 Pg. 55-86 FullText PDF:  500 KB

La complessità strutturale dei distretti industriali: un approccio basato sulle similarità multi-dimensionali Structural complexity in industrial districts: a multi-dimensional similarity approach. This study analyses spatial agglomerations starting from the premise that their intrinsic socio-economic complexity is a crucial factor in the shaping of local development paths. With the help of a family of artificial neural networks known as Self-organising Maps (SOM), the study obtains an original mapping of productive agglomerations in Italy, and thereby a characterization that goes beyond the notion of specialization and rests on the idea of multi-dimensional similarity in the distribution of resources.

Vittorio Carlei, Massimiliano Nuccio, Pierluigi Sacco, Massimo Buscema, in "SCIENZE REGIONALI " 2/2008, pp. 55-86, DOI:

   

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