1. Methodological approaches: National specialisation patterns Innovative Industries Workshop Brussels, 11 May 2010Göran LindqvistCSC, Stockholm School of Economics

2. Lindqvist, SIW/ECO, Brussels, 11 May 2010 2

3. Lindqvist, SIW/ECO, Brussels, 11 May 2010 3 Automotive

4. Lindqvist, SIW/ECO, Brussels, 11 May 2010 4 Food and drink

5. Lindqvist, SIW/ECO, Brussels, 11 May 2010 5 Regional specialisation Business R&D Economic performance Innovation PublicR&D Urbanisation

6. Regional indicators used Lindqvist, SIW/ECO, Brussels, 11 May 2010 6 Regional specialisation Business R&D Number of sectoral agglomeration (cluster) stars Business R&D spending / GDP % of households located in areas with at least 500 inhabitants/km2 Government R&D spending / GDP, Educational R&D spending / GDP Urbanisation PublicR&D Economic performance Innovation EPO patent applications per capita GDP per capita, GVA per capita, Wages

7. Lindqvist, SIW/ECO, Brussels, 11 May 2010 7 Regional specialisation Business R&D Economic performance Innovation PublicR&D R2 = 0.499 Urbanisation Source: Lindqvist, Protsiv, Sölvell (2009) in ”Disentangling Clusters”, Lindqvist (2009)

8. Lindqvist, SIW/ECO, Brussels, 11 May 2010 8 Aerospace

9. Lindqvist, SIW/ECO, Brussels, 11 May 2010 Construction 9

10. Data sources Lindqvist, SIW/ECO, Brussels, 11 May 2010 10 Regional National Institutional and macro-economic conditions: Eurostat etc. Innovation: CIS Business environment conditions General Employment: National statistical agencies Sectoral Innovation: SIW Employment: Eurostat

11. Fact-based policy Fact-based innovation and growth policy requires: data user friendliness analysis Lindqvist, SIW/ECO, Brussels, 11 May 2010 11

12. ? ! Lindqvist, SIW/ECO, Brussels, 11 May 2010 12

13. Contact Göran Lindqvist, PhD Center for Strategy and Competitiveness Stocholm School of Economics www.sse.edu/csc goran.lindqvist@hhs.se +46 8 7369524 www.slideshare.net/GoranLindqvist Lindqvist, SIW/ECO, Brussels, 11 May 2010 13