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. |