Improving the Regional Innovation Scoreboard for policy: how about innovation efficiency?
Peter Teirlinck and
Andre Spithoven
Science and Public Policy, 2023, vol. 50, issue 6, 1001-1017
Abstract:
This paper aims to improve the Regional Innovation Scoreboard as an instrument for policy-making. Dynamic slack–based models of data envelopment analysis to measure innovation output efficiency in 207 European regions demonstrate that the scale-based performance classification of the Scoreboard into ‘leader’, ‘strong’, ‘moderate’, and ‘modest’ innovator regions inadequately reflects differences in efficiency in transforming knowledge inputs into innovation outputs. We reveal a non-monotonic relation between scale-based and efficiency-based performance and substantial heterogeneity among the reasons for inefficiency among regions within each of the four scale-based performance classes of regions. Our findings argue for an extension of the current scale-based use of the Scoreboard by adding an efficiency-based measurement of the innovation process. Doing so addresses the tendency in policy design towards an increased focus on the efficient use of scarce resources in place-based policy approaches and strengthens the application of the Scoreboard as an informative decision-making tool.
Keywords: Regional Innovation Scoreboard; dynamic slack–based DEA; innovation efficiency; innovation policy; data envelopment analysis (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1093/scipol/scad043 (application/pdf)
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:oup:scippl:v:50:y:2023:i:6:p:1001-1017.
Access Statistics for this article
Science and Public Policy is currently edited by Nicoletta Corrocher, Jeong-Dong Lee, Mireille Matt and Nicholas Vonortas
More articles in Science and Public Policy from Oxford University Press
Bibliographic data for series maintained by Oxford University Press ().