Korosteleva, Julia;
Bruno, Randolph;
Osaulenko, Kirill;
Radosevic, Slavo;
(2021)
Sectoral Innovation Systems, Complementarities and Productivity in Europe.
(GROWINPRO Working Papers
61/2021).
Growth Welfare Innovation Productivity (GROWINPRO): London, UK.
Preview |
Text
working_paper_2021_61.pdf - Other Download (3MB) | Preview |
Abstract
This paper explores the differences in labour productivity between five firm clusters, distinguished based on firm size, resource capabilities and geographic scope of a firm market (national vs. international), using a k-means clustering approach and panel data for EU Small Medium and Large enterprises. The study is embedded into the framework of sectoral innovation ecosystems, suggesting the importance of complementarities between various pillars of meso-level innovation ecosystems. Our analysis reveals that productivity gains increase jointly with firm scalability and accumulation of organisational and resource capabilities, although individually, firm size is negatively correlated with firm labour productivity. Furthermore, we find a direct positive effect of each of the four pillars of sectoral innovation ecosystems, namely digital, human, innovation and tangible capital capabilities, though statistically, the direct effect of digital capabilities is weaker compared to other pillars. More importantly, via interacting these pillars we find some compelling evidence on complementarities between pairwise sectoral capabilities that have important policy implications for coordination of EU policies, in terms of innovation diffusion, digitalisation and productivity growth in the EU.
Type: | Working / discussion paper |
---|---|
Title: | Sectoral Innovation Systems, Complementarities and Productivity in Europe |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | http://www.growinpro.eu/wp-content/uploads/2021/07... |
Language: | English |
Additional information: | This is an Open Access paper published under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | labour productivity, innovation ecosystems, EU, factor analysis, clustering |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL SLASH > SSEES UCL > Provost and Vice Provost Offices > UCL SLASH |
URI: | https://discovery.ucl.ac.uk/id/eprint/10147651 |
Archive Staff Only
View Item |