2005-08-20 papers

on Network Economics

Issue of 2005–08–20
one paper chosen by
Alfonso Rosa García, Universidad de Murcia

The Structure of Cluster Knowledge Networks: Uneven and Selective, not Pervasive and Collective By Elisa Giuliani

The Structure of Cluster Knowledge Networks: Uneven and Selective, not Pervasive and Collective

By:	Elisa Giuliani
Abstract:	This study focuses on the relationship between industrial clustering and innovation. It contributes to this literature by showing two empirical properties of the cluster learning process: first, that the structure of the knowledge network in a cluster is related with the heterogeneous distribution of firm knowledge bases and, second, that business interactions and inter-firm knowledge flows are not highly co-occurring phenomena. In particular, this paper highlights how the heterogeneity of firms’ knowledge bases generates uneven distribution of knowledge and selective inter-firm learning. This study has been based on empirical evidence collected at firm level in three wine clusters in Italy and Chile. Methods of social network analysis have been applied to process the data.
Keywords:	Industrial clusters; knowledge flows; business interactions; networks
JEL:	O18 O30
Date:	2005
URL:	https://d.repec.org/n?u=RePEc:aal:abbswp:05-11

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