The production of scientific and technical knowledge is mostly concentrated in specific locations (high-tech clusters, innovative industrial agglomerations, hot spots, excellence centres, technologically advanced regions). Knowledge flows very easily within these geographical enclaves; however, scientific and technical knowledge does flow also between different enclaves. Aim of this paper is to analyse how knowledge flows between these agglomerations of innovative inputs, and what are the effects of such flows on the innovative performance, measured by patents application intensity, of an individual location. To do so we estimate a regional knowledge production function and we estimate, through appropriate spatial econometric estimation techniques, the effect of both geographical and relational autocorrelation (as measured by participation to joint research networks funded by the EU). Furthermore we are able to model the unobservable structure and link value of actual knowledge flows within these joint research networks. Our research methodology showed that knowledge flows within inter-regional research networks along a non symmetrical hierarchical structure in which knowledge produced by network participants is exploited by the coordinator.
Does intentional mean hierarchical? Knowledge flows and innovative performance of European regions
M Nosvelli
2011
Abstract
The production of scientific and technical knowledge is mostly concentrated in specific locations (high-tech clusters, innovative industrial agglomerations, hot spots, excellence centres, technologically advanced regions). Knowledge flows very easily within these geographical enclaves; however, scientific and technical knowledge does flow also between different enclaves. Aim of this paper is to analyse how knowledge flows between these agglomerations of innovative inputs, and what are the effects of such flows on the innovative performance, measured by patents application intensity, of an individual location. To do so we estimate a regional knowledge production function and we estimate, through appropriate spatial econometric estimation techniques, the effect of both geographical and relational autocorrelation (as measured by participation to joint research networks funded by the EU). Furthermore we are able to model the unobservable structure and link value of actual knowledge flows within these joint research networks. Our research methodology showed that knowledge flows within inter-regional research networks along a non symmetrical hierarchical structure in which knowledge produced by network participants is exploited by the coordinator.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
