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
Publishing Year 2008 Issue 2008/2 Language Italian
Pages 32 P. 55-86 File size 500 KB
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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, La complessità strutturale dei distretti industriali: un approccio basato sulle similarità multi-dimensionali in "SCIENZE REGIONALI " 2/2008, pp 55-86, DOI: