High-Tech Entrepreneurship in Europe: A Heuristic Firm Growth Model and Three "(Un-)easy Pieces" for Policy-Making
Luca Grilli
Industry and Innovation, 2014, vol. 21, issue 4, 267-284
Abstract:
Increasing the number of rapid-growth new technology-based firms (NTBFs) is considered one of the key priorities of innovation policy adopted by the European Commission. Grounded in the empirical literature on the determinants of high-tech start-up growth in Europe, this paper develops a heuristic firm growth model for European NTBFs to individuate three primary areas of intervention for policy-making aimed to sustain the growth of NTBFs: (i) reducing the social and regulatory burdens arising from (honest) firm failure, (ii) acknowledging the local nature of the venture capital industry and promoting territorial marketing initiatives to attract (international) venture capitalist players and (iii) leveraging the "halo and certification" effect of directs public subsidies and grants towards NTBFs. If recent initiatives of the European Commission go in these directions, much remains to be done to increase the growth potential of high-tech start-ups on the European landscape.
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://hdl.handle.net/10.1080/13662716.2014.939850 (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:taf:indinn:v:21:y:2014:i:4:p:267-284
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CIAI20
DOI: 10.1080/13662716.2014.939850
Access Statistics for this article
Industry and Innovation is currently edited by Associate Professor Mark Lorenzen
More articles in Industry and Innovation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().