A panel fsQCA investigation on European regional innovation

Beynon, Malcolm; Pickernell, David; Battisti, Martina; Jones, Paul

doi:10.1016/j.techfore.2023.123042

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A panel fsQCA investigation on European regional innovation

Malcolm Beynon, David Pickernell

, Martina Battisti, Paul Jones

Technological Forecasting and Social Change, Volume: 199, Start page: 123042

Swansea University Authors: David Pickernell , Paul Jones

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DOI (Published version): 10.1016/j.techfore.2023.123042

Abstract

Taking an evolutionary economic geography perspective, we build on literature on innovation modes, the aim of this study being to explain variations in SME innovation performance across European regions over time. Drawing on five waves of data from the EU Regional Innovation Scoreboard between 2011...

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Published in:	Technological Forecasting and Social Change
ISSN:	0040-1625 1873-5509
Published:	Elsevier BV 2024
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa65067
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first_indexed	2023-11-22T10:11:12Z
last_indexed	2023-11-22T10:11:12Z
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spelling	v2 65067 2023-11-22 A panel fsQCA investigation on European regional innovation 913bd73da00d7df4f5038f6f144b235e 0000-0003-0912-095X David Pickernell David Pickernell true false 21e2660aaa102fe36fc981880dd9e082 0000-0003-0417-9143 Paul Jones Paul Jones true false 2023-11-22 BBU Taking an evolutionary economic geography perspective, we build on literature on innovation modes, the aim of this study being to explain variations in SME innovation performance across European regions over time. Drawing on five waves of data from the EU Regional Innovation Scoreboard between 2011 and 2019, our sample includes 221 regions across 27 EU Member States, as well as Norway, UK, Serbia, and Switzerland. We apply nascent panel fuzzy-set Qualitative Comparative Analysis to explore how different combinations of SME innovation modes explain innovation performance across different EU regions (i.e. geographical scope) as well as within different EU regions over time (i.e. temporal stability). Findings show that whether DUI or STI modes are more effective in the context of SMEs crucially depends on the timeframe considered, but also the geographical location of SMEs. The study offers novel insights into the diverse and complex nature through which regional innovation evolves over time, advancing understanding on regionalization as well as temporality of SME innovation modes in Europe. It also provides an important basis for discussing innovation policy across Europe. Journal Article Technological Forecasting and Social Change 199 123042 Elsevier BV 0040-1625 1873-5509 STI, DUI innovation modes, Europe, Regions, Policy, Panel fsQCA 1 2 2024 2024-02-01 10.1016/j.techfore.2023.123042 COLLEGE NANME Business COLLEGE CODE BBU Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2024-04-10T10:00:37.6675356 2023-11-22T10:04:40.8290873 Faculty of Humanities and Social Sciences School of Management - Business Management Malcolm Beynon 1 David Pickernell 0000-0003-0912-095X 2 Martina Battisti 3 Paul Jones 0000-0003-0417-9143 4 65067__29260__a0f3deab998b482aa7e6db9256ede7ec.pdf 65067.VOR.pdf 2023-12-13T14:23:49.7378431 Output 2631155 application/pdf Version of Record true © 2023 The Author(s). Published by Elsevier Inc. Distributed under the terms of a Creative Commons Attribution 4.0 International License (CC BY 4.0). true eng https://creativecommons.org/licenses/by/4.0/
title	A panel fsQCA investigation on European regional innovation
spellingShingle	A panel fsQCA investigation on European regional innovation David Pickernell Paul Jones
title_short	A panel fsQCA investigation on European regional innovation
title_full	A panel fsQCA investigation on European regional innovation
title_fullStr	A panel fsQCA investigation on European regional innovation
title_full_unstemmed	A panel fsQCA investigation on European regional innovation
title_sort	A panel fsQCA investigation on European regional innovation
author_id_str_mv	913bd73da00d7df4f5038f6f144b235e 21e2660aaa102fe36fc981880dd9e082
author_id_fullname_str_mv	913bd73da00d7df4f5038f6f144b235e_*_David Pickernell 21e2660aaa102fe36fc981880dd9e082_*_Paul Jones
author	David Pickernell Paul Jones
author2	Malcolm Beynon David Pickernell Martina Battisti Paul Jones
format	Journal article
container_title	Technological Forecasting and Social Change
container_volume	199
container_start_page	123042
publishDate	2024
institution	Swansea University
issn	0040-1625 1873-5509
doi_str_mv	10.1016/j.techfore.2023.123042
publisher	Elsevier BV
college_str	Faculty of Humanities and Social Sciences
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department_str	School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
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description	Taking an evolutionary economic geography perspective, we build on literature on innovation modes, the aim of this study being to explain variations in SME innovation performance across European regions over time. Drawing on five waves of data from the EU Regional Innovation Scoreboard between 2011 and 2019, our sample includes 221 regions across 27 EU Member States, as well as Norway, UK, Serbia, and Switzerland. We apply nascent panel fuzzy-set Qualitative Comparative Analysis to explore how different combinations of SME innovation modes explain innovation performance across different EU regions (i.e. geographical scope) as well as within different EU regions over time (i.e. temporal stability). Findings show that whether DUI or STI modes are more effective in the context of SMEs crucially depends on the timeframe considered, but also the geographical location of SMEs. The study offers novel insights into the diverse and complex nature through which regional innovation evolves over time, advancing understanding on regionalization as well as temporality of SME innovation modes in Europe. It also provides an important basis for discussing innovation policy across Europe.
published_date	2024-02-01T10:00:35Z
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A panel fsQCA investigation on European regional innovation

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