Buch, Englisch, Band 14, 342 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 1500 g
Buch, Englisch, Band 14, 342 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 1500 g
Reihe: Economics of Science, Technology and Innovation
ISBN: 978-0-7923-8287-4
Verlag: Springer US
Using an evolutionary economic perspective, and drawing on a range of disciplines and accomplished scholars, explores important issues at a conceptual, methodological and comparative level concerning how successful locations actually construct their comparative advantage.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Fertigungsindustrie Sonstige Fertigungsindustrien
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftswachstum
Weitere Infos & Material
A In Search of Conceptual Framework.- 1. Local and Regional Systems of Innovation as Learning Socio-Economies.- B Conceptual Perspectives.- 2. Calibrating the Learning Region.- 3. Regional Systems of Innovation and the Blurred Firm.- 4. Modeling Regional Innovation and Competitiveness.- C International and Interregional Perspectives.- 5. Knowledge-Based Industrial Clustering: International Comparisons.- 6. Contrasting U.S. Metropolitan Systems of Innovation.- 7. Contrasting Regional Innovation Systems in Oxford and Cambridge.- 8. Telecoms in New Jersey: Spatial Determinants of Sectoral Investments.- D Perspectives on Canada’s Local and Regional Systems of Innovation.- 9. Innovation in Enterprises in British Columbia.- 10. How Do Small Firms Innovate in British Columbia?.- 11. The Dynamics of Regional Innovation in Ontario.- 12. Canada’s Technology Triangle.- 13. The Chaudière-Appalaches System of Industrial Innovations.- 14. Saint John, NB. As an Emerging Local System of Innovation.- 15. Canadian Science Parks, Universities, and Regional Development.- E Quo Vadis?.- 16. Some Lessons and Challenges for Model Builders, Data Gatherers and Other Tribes.