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Categorisation of OECD Regions Using Innovation-Related Variables

Listed author(s):
  • Giulia Ajmone Marsan


  • Karen Maguire


Registered author(s):

    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.

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    Paper provided by OECD Publishing in its series OECD Regional Development Working Papers with number 2011/3.

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    Date of creation: 01 Jul 2011
    Handle: RePEc:oec:govaab:2011/3-en
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