Patterns of Innovation in EU-25 Regions: A Typology and Policy Recommendations

Navarro, Mikel; Gibaja, Juan José; Bilbao‐Osorio, Beñat; Agüado, Ricardo

doi:10.1068/c0884r

Cited by 59 publications

(57 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Measuring regional innovation performance across the EU is notoriously difficult owing to limitations in data availability and the complexity of the innovation process (Bruijn and Lagendijk 2005;Navarro et al 2009). In an attempt to develop a common statistical approach, academics at UNU-MERIT compile a Regional Innovation Scoreboard on behalf of the European Commission (2012).…”

Section: The Role Of Innovation In Resilience: An Evolutionary Perspementioning

confidence: 99%

Innovation and regional economic resilience: an exploratory analysis

2017

View full text Add to dashboard Cite

The varying rates of recovery of European regional economies from the 2007 to 2008 economic crisis have raised interesting questions about the sources of economic resilience. Policy discourse has increasingly asserted the role played by innovation in facilitating rapid recovery from economic shocks, whilst evolutionary thinking has highlighted the specific importance of innovation capacity. However, empirical evidence on this is lacking. This paper addresses this gap by providing new empirical analysis of the relationship between regional innovation capacity and the resilience of European regions to the crisis. It finds that regions identified as Innovation Leaders at the time of the crisis were significantly more likely to have either resisted the crisis or recovered quickly from it (i.e. within 3 years). This provides important insights for evolutionary approaches theorising the relationship between innovation and resilience. JEL Classification R1 · O3

show abstract

Section: The Role Of Innovation In Resilience: An Evolutionary Perspementioning

confidence: 99%

Innovation and regional economic resilience: an exploratory analysis

2017

View full text Add to dashboard Cite

show abstract

“…Increasing the number of clusters added minimal further within-country variation. Other recent comparable analyses with EU regions had identified seven regional groupings (Wintjes and Hollanders, 2010;Navarro et al 2008). The number of clusters present in a given country is at a minimum two, but is generally three or more (see Table A.4 in Annex).…”

Section: Overall Summarymentioning

confidence: 99%

“…Qualitative Innovation-related typology of European regions (Navarro et al, 2008 Innovation-related typology of European regions (Wintjes and Hollanders, 2010 …”

Section: Table Of Contentsmentioning

confidence: 99%

Categorisation of OECD Regions Using Innovation-Related Variables

Marsan

Maguire

2011

OECD Regional Development Working Papers

View full text Add to dashboard Cite

National policy makers have shown a growing interest in the regional dimension of innovation processes, and regional policy makers are seeking to promote their own competitiveness by supporting innovation. To advance the OECD quantitative research on regions and innovation, a categorisation of regions was developed using socio-demographic, economic, and innovation-related variables. Many different categorisations are possible depending on the purpose of the peer group comparisons. This categorisation was developed with the main goal of highlighting the diversity of regional profiles across OECD regions. Similar types of analysis have been performed with regions of the European Union. This analysis identifies eight groups of regions based on the similarity of their performance on the 12 variables used in the statistical cluster analysis. These eight groups were then classified into three macro categories based on relevance for policy recommendations. Possibilities for further research to develop different forms of regional peer groupings are discussed. Les responsables politiques nationaux montrent un intérêt croissant envers la dimension régionale des processus d’innovation, et les responsables politiques régionaux cherchent à promouvoir leur propre compétitivité en soutenant l’innovation. Afin d’améliorer la recherche quantitative de l’OCDE sur les régions et l’innovation, une catégorisation des régions a été développée en utilisant des variables socio-démographiques, économiques et liées à l’innovation. De nombreuses catégorisations sont possibles en fonction de l’objectif des comparaisons entre « groupes de pairs ». La présente catégorisation a été développée avec l’objectif principal de mettre en évidence la diversité des profils régionaux au sein des régions de l’OCDE. Des types d’analyse similaires ont été réalisés avec les régions de l’Union européenne. Cette analyse identifie huit groupes de régions sur la base de la similitude de leur performance dans les 12 variables utilisées pour l’analyse statistique en « cluster ». Ces huit groupes ont ensuite été classés en trois macro-catégories suivant leur pertinence pour les recommandations politiques. Les possibilités de continuer les recherches pour développer différentes formes de groupes de pairs régionaux sont également abordées.economic development, innovation policy, regional development, regional innovation strategies, regional competitiveness, cluster analysis

show abstract

“…In this sense, well positioned countries should try to internationalise their innovation systems and attract new talent, making the creation and diffusion of first-class knowledge easier (Navarro et al, 2009). This group could represent a reference point for less advanced groups in order to identify innovation policies that could help them migrate to a superior cluster.…”

Section: Conclusion and Policy Recommendationsmentioning

confidence: 99%

“…In this sense, it is worth mentioning the works of Abramovitz (1986), Fagerberg (1987), Dosi et al, (1988), Cohen & Levinthal (1990), Lall (1992), Lundvall (1992), Nelson (1993), Edquist (1997;2004), Freeman (1997), Sutz (1997), Archibugi & Coco (2004), Fagerberg & Godinho (2004), Navarro, Gibaja, Bilbao-Osorio & Aguado (2009) among others.…”

Section: Introductionmentioning

confidence: 99%

Empirical study of national technological innovation capability in Africa

Mayor

Hera

Diego

2012

SAJEMS

View full text Add to dashboard Cite

This paper performs an analysis of the technological innovation capability in 30 African countries. Based on the literature about national innovation capability and economy of technological change, an empirical study has been performed by using clusters' analysis technique and the technological innovation indicators published in the Global Competitiveness Report -2011 (WEF, 2010. The purpose is to explore the existence of groups of countries characterised by different technological innovation levels, deepening in their characteristics and the distance that separates them. The results show the existence of four groups of countries defined by different technological innovation capabilities in three factors, which are the Governmental and business technological effort, the Technological infrastructure and human capital (Available Base) and the Protection of intellectual property and innovation results.

show abstract

Patterns of Innovation in EU-25 Regions: A Typology and Policy Recommendations

Cited by 59 publications

References 48 publications

Innovation and regional economic resilience: an exploratory analysis

Innovation and regional economic resilience: an exploratory analysis

Categorisation of OECD Regions Using Innovation-Related Variables

Empirical study of national technological innovation capability in Africa

Contact Info

Product

Resources

About