Categorisation of OECD Regions Using Innovation-Related Variables:
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 regio...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Paris
OECD Publishing
2011
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| Schriftenreihe: | OECD Regional Development Working Papers
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (50 Seiten) 21 x 29.7cm |
| DOI: | 10.1787/5kg8bf42qv7k-en |
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| spelling | Ajmone Marsan, Giulia Verfasser aut Categorisation of OECD Regions Using Innovation-Related Variables Giulia Ajmone Marsan and Karen Maguire Paris OECD Publishing 2011 1 Online-Ressource (50 Seiten) 21 x 29.7cm txt rdacontent c rdamedia cr rdacarrier OECD Regional Development Working Papers 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 Urban, Rural and Regional Development Maguire, Karen ctb https://doi.org/10.1787/5kg8bf42qv7k-en Verlag kostenfrei Volltext |
| spellingShingle | Ajmone Marsan, Giulia Categorisation of OECD Regions Using Innovation-Related Variables Urban, Rural and Regional Development |
| title | Categorisation of OECD Regions Using Innovation-Related Variables |
| title_auth | Categorisation of OECD Regions Using Innovation-Related Variables |
| title_exact_search | Categorisation of OECD Regions Using Innovation-Related Variables |
| title_exact_search_txtP | Categorisation of OECD Regions Using Innovation-Related Variables |
| title_full | Categorisation of OECD Regions Using Innovation-Related Variables Giulia Ajmone Marsan and Karen Maguire |
| title_fullStr | Categorisation of OECD Regions Using Innovation-Related Variables Giulia Ajmone Marsan and Karen Maguire |
| title_full_unstemmed | Categorisation of OECD Regions Using Innovation-Related Variables Giulia Ajmone Marsan and Karen Maguire |
| title_short | Categorisation of OECD Regions Using Innovation-Related Variables |
| title_sort | categorisation of oecd regions using innovation related variables |
| topic | Urban, Rural and Regional Development |
| topic_facet | Urban, Rural and Regional Development |
| url | https://doi.org/10.1787/5kg8bf42qv7k-en |
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