http://www.cnr.it/ontology/cnr/individuo/prodotto/ID281902
Does intentional mean hierarchical? Knowledge flows and innovative performance of European regions (Rapporti tecnici/preprint/working paper)
- Type
- Label
- Does intentional mean hierarchical? Knowledge flows and innovative performance of European regions (Rapporti tecnici/preprint/working paper) (literal)
- Anno
- 2011-01-01T00:00:00+01:00 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- M.A. Maggioni, T.E. Uberti, M. Nosvelli (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://centridiricerca.unicatt.it/scienze_cognitive_comunicazione_cscc0211.pdf (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Università Cattolica, Ceris Cnr (literal)
- Titolo
- Does intentional mean hierarchical? Knowledge flows and innovative performance of European regions (literal)
- 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. (literal)
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