EconPapers    
Economics at your fingertips  
 

The contribution of university, private and public sector resources to Italian regional innovation system (in)efficiency

Cristian Barra and Roberto Zotti

The Journal of Technology Transfer, 2018, vol. 43, issue 2, No 8, 432-457

Abstract: Abstract This paper investigates the regional innovation system (RIS) efficiency, and its determinants, in Italy through a stochastic frontier analysis and using the concept of a knowledge production function. The contribution of university, private and public sector resources devoted to research and development (R&D), in generating innovation, has been examined, as well as the impact of several exogenous environmental variables on RIS efficiency. The empirical findings are in favour of the importance of R&D investments taking place in the universities and in the private sector, which benefit the most to regional innovation activities; the evidence also suggests the relevance of the knowledge context in which the firms operate as the existence of an intermediation structure, such as a university technology transfer office, has an important role on the innovation process. State-level policies can be detrimental for overall efficiency, and instead special interventions for regions in the Southern area should be designed.

Keywords: Regional innovation system; Technical efficiency; Knowledge production function (search for similar items in EconPapers)
JEL-codes: C14 C67 O31 R12 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (22)

Downloads: (external link)
http://link.springer.com/10.1007/s10961-016-9539-7 Abstract (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:jtecht:v:43:y:2018:i:2:d:10.1007_s10961-016-9539-7

Ordering information: This journal article can be ordered from
http://www.springer. ... nt/journal/10961/PS2

DOI: 10.1007/s10961-016-9539-7

Access Statistics for this article

The Journal of Technology Transfer is currently edited by Albert N. Link, Donald S. Siegel, Barry Bozeman and Simon Mosey

More articles in The Journal of Technology Transfer from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-22
Handle: RePEc:kap:jtecht:v:43:y:2018:i:2:d:10.1007_s10961-016-9539-7