The aim of this work is to investigate University-Industry (U-I) collaborations in biopharmaceuticals applying a supply-demand analysis at a regional level. As the most representative science-based industry, the biopharmaceutical, unlike other high-tech industry, has the vital need to engage in research activities with universities and public research centers to exploit knowledge spillovers, essential to its growth. Using co-publishing as a proxy for U-I linkages we explore through a supply-demand analysis the “market for co-publication” among Italian regions. Moreover, using a dataset constructed for the purpose of the research, we are able to exploit, for the first time, the panel dimension of data to investigate the determinants of U-I collaborations applying probabilistic models over a wide time horizon, which goes from 2001 to 2010. Among the main results, we document: i) a marked shortage of demand for collaborations coming from firms; ii) heterogeneity among universities’ interaction performances; iii) limited collaborations with multinationals, often activated with the country of origin rather than with local branches; iv) positive impact on U-I linkages of geographical proximity, stock of academic staff and agglomeration of firms.
University-Industry linkages among Italian regions: a Supply-Demand analysis
PIERUCCI, ELEONORA
2015-01-01
Abstract
The aim of this work is to investigate University-Industry (U-I) collaborations in biopharmaceuticals applying a supply-demand analysis at a regional level. As the most representative science-based industry, the biopharmaceutical, unlike other high-tech industry, has the vital need to engage in research activities with universities and public research centers to exploit knowledge spillovers, essential to its growth. Using co-publishing as a proxy for U-I linkages we explore through a supply-demand analysis the “market for co-publication” among Italian regions. Moreover, using a dataset constructed for the purpose of the research, we are able to exploit, for the first time, the panel dimension of data to investigate the determinants of U-I collaborations applying probabilistic models over a wide time horizon, which goes from 2001 to 2010. Among the main results, we document: i) a marked shortage of demand for collaborations coming from firms; ii) heterogeneity among universities’ interaction performances; iii) limited collaborations with multinationals, often activated with the country of origin rather than with local branches; iv) positive impact on U-I linkages of geographical proximity, stock of academic staff and agglomeration of firms.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
