We use measures of vertex centrality to examine interlocking direc- torates and their economic effects in Italy. We employ centrality mea- sures like degree, eigenvector centrality, betweenness, and flow between- ness, along with the clustering coefficient. We document the existence of a negative relationship between both degree and eigenvector centrality and firm value. Betweenness and flow betweenness, on the other hand, are not associated with lower firm valuations. We argue that these difference derives from the different properties of these measures: while degree and eigenvector centrality measures the influence and the power of the con- nections, betweennness and flow betweenness are proxies for the volume of information that passes between the nodes. This result is robust to the use of both stock market and operating performance measures, as well as several controlling variables.
|Numero di pagine||1|
|Rivista||Computational and Mathematical Organization Theory|
|Stato di pubblicazione||Pubblicato - 2013|
- Network Analysis