Technology transfer offices and academic spin-off creation: the case of Italy

Over the past decades, university-industry relationships have become an important subject due to the essential role played by technological progress in the economic development of countries. From a theoretical point of view, several studies have shown the close relationship between investments in re...

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Bibliographic Details
Published inThe Journal of technology transfer Vol. 38; no. 4; pp. 382 - 400
Main Authors Algieri, Bernardina, Aquino, Antonio, Succurro, Marianna
Format Journal Article
LanguageEnglish
Published Boston Springer-Verlag 01.08.2013
Springer US
Springer Nature B.V
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Summary:Over the past decades, university-industry relationships have become an important subject due to the essential role played by technological progress in the economic development of countries. From a theoretical point of view, several studies have shown the close relationship between investments in research and innovative activities of universities and the economic growth of specific territories. Indeed, the strong linkages between universities and a country’s production system encourage the process of technology transfer and the commercial use of the research results. For this reason, the European Union has implemented a series of measures to promote the adoption of research findings in the real economic and social context, strengthening the linkages between universities, industries and government. As a starting point for enhancing this link, specific mechanisms have been devised by universities. In particular, technology transfer offices (TTOs) have been created to stimulate and encourage the dissemination of the research outcomes, translate them into practise, and facilitate their interrelations with the other two agents of the innovation systems: industries and government. Within this context, the present paper aims to gain knowledge on the determinants of spin-off creation in Italy with special attention to the role played by university TTOs. Specifically, an econometric probability model has been built merging the extant literature into four distinct strands. The analysis, based on the NetVal indicators and primary data survey, has allowed us to assess the Italian experience at an aggregate and disaggregate level.
Bibliography:http://dx.doi.org/10.1007/s10961-011-9241-8
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ISSN:0892-9912
1573-7047
DOI:10.1007/s10961-011-9241-8