Clusters of specializations in the automotive supply chain in Italy. An empirical analysis using text mining
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Data di Pubblicazione:
2017
Citazione:
Pavone, P. e M., Russo. "Clusters of specializations in the automotive supply chain in Italy. An empirical analysis using text mining" Working paper, CAPPAPERS, Dipartimento di Economia Marco Biagi - Università di Modena e Reggio Emilia, 2017.
Abstract:
The wide literature exploring supply chains is polarized on two perspectives: micro
analyses focusing on management strategies of companies, and macro assessment of
cross-country interdependences. In order to explore the ongoing innovation paths, this
paper adopts a third perspective on the supply chain, focusing on the internal structure of
specializations within the automotive supply chain in Italy. If we compare the degree of
fragmentation across global value chains, the automotive supply chain has the highest
degree of fragmentation. With regard to Italy, its structural characteristics (number, size
of companies, location) and dynamics of change deserve attention both for its large share
in domestic production and for its interconnections with other supply chains. In this
paper, we explore a strategy to identify a classification of specializations within the
automotive supply chain grounded on the textual description of activities provided by
companies when they register their business. Pending the acquisition of the database for
the other years of the Observatory, in this work the analysis refers only to 2017 data.
Tipologia CRIS:
Working paper
Keywords:
automotive supply chains, industrial specialization, fragmentation, textual analysis, regional analysis, similarity analysis, IRaMuTeQ, Taltac2
Elenco autori:
Pavone, P.; Russo, M.
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