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Regional Branching and Regional Innovation Policy

In: Drivers of Innovation, Entrepreneurship and Regional Dynamics

Author

Listed:
  • Ron Boschma

    (University of Utrecht)

Abstract

Regional diversification is high on the scientific and political agenda. As many regions are currently facing economic decline due to the economic crisis, there is increasing awareness that there is a need to develop new economic activities, in order to compensate for losses in other parts of their regional economies. Economic geographers have raised the question how to develop new growth paths in regions over and over again, but this question has largely remained unanswered until recently (Scott 1988; Storper and Walker 1989; Martin and Sunley 2006; Simmie and Carpenter 2007). For instance, there is still little understanding of how old industrial regions may overcome structural problems, such as congestion, overspecialization, a bad image, and inflexible institutions, which, according to many, make them unlikely places for new industries to emerge. However, some do quite well, while others do not, but there is still little known what are the reasons behind that (Hassink 2005).

Suggested Citation

  • Ron Boschma, 2011. "Regional Branching and Regional Innovation Policy," Advances in Spatial Science, in: Karima Kourtit & Peter Nijkamp & Roger R. Stough (ed.), Drivers of Innovation, Entrepreneurship and Regional Dynamics, pages 359-368, Springer.
    • Handle: RePEc:spr:adspcp:978-3-642-17940-2_17
    DOI: 10.1007/978-3-642-17940-2_17
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    Citations

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    Cited by:

    1. Sandro Montresor & Francesco Quatraro, 2015. "Do Key Enabling Technologies shape regional Smart Specialization Strategies? A patent based analysis of European data," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201506, University of Turin.
    2. Timo Mitze & Teemu Makkonen, 2020. "When interaction matters: the contingent effects of spatial knowledge spillovers and internal R&I on firm productivity," The Journal of Technology Transfer, Springer, vol. 45(4), pages 1088-1120, August.
    3. Ron Boschma, 2014. "Constructing Regional Advantage and Smart Specialisation: Comparison of Two European Policy Concepts," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2014(1), pages 51-68.
    4. Antonelli, Cristiano & Feder, Christophe & Quatraro, Francesco, 2018. "Directed Technological Change and Technological Congruence: A New Framework for the Smart Specialization Strategy," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201805, University of Turin.
    5. Ron Boschma & Asier Minondo & Mikel Navarro, 2013. "The Emergence of New Industries at the Regional Level in S pain: A Proximity Approach Based on Product Relatedness," Economic Geography, Taylor & Francis Journals, vol. 89(1), pages 29-51, January.
    6. Roberto Capello, 2014. "Smart Specialisation Strategy and the New EU Cohesion Policy Reform: Introductory Remarks," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2014(1), pages 5-13.
    7. Moreno, Rosina & Ocampo-Corrales, Diego, 2022. "The ability of European regions to diversify in renewable energies: The role of technological relatedness," Research Policy, Elsevier, vol. 51(5).
    8. Alessandra Colombelli & Francesco Quatraro, 2019. "Green start-ups and local knowledge spillovers from clean and dirty technologies," Small Business Economics, Springer, vol. 52(4), pages 773-792, April.
    9. Sandro Montresor & Francesco Quatraro, 2015. "Smart Specialization Strategies and Key Enabling Technologies. Regional evidence from European patent data," Papers in Evolutionary Economic Geography (PEEG) 1525, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2015.
    10. Ben Vermeulen & Andreas Pyka, 2018. "The Role of Network Topology and the Spatial Distribution and Structure of Knowledge in Regional Innovation Policy: A Calibrated Agent-Based Model Study," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 773-808, October.

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