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Science, technology and innovation for economic growth: Linking policy research and practice in 'STIG Systems'

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  • Aghion, Philippe
  • David, Paul A.
  • Foray, Dominique

Abstract

This paper reflects on the relevance of "systems-theoretic" approaches to the interdependent policy issues relating to the dynamics of science, technology and innovation and their relationship to economic growth. Considering the approach that characterizes much of the current economics literature's treatment of technology and growth policies, we pose the critical question: what kind of systems paradigm is likely to prove particularly fruitful in that particular problem-domain? Evolutionary, neo-Schumpeterian, and complex system dynamics approaches are conceptually attractive, and we examine their respective virtues and limitations. Both qualities are readily visible when one tries to connect systems-relevant research with practical policy-making in this field.

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Bibliographic Info

Article provided by Elsevier in its journal Research Policy.

Volume (Year): 38 (2009)
Issue (Month): 4 (May)
Pages: 681-693

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Handle: RePEc:eee:respol:v:38:y:2009:i:4:p:681-693

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Web page: http://www.elsevier.com/locate/respol

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Keywords: Science & technology policy Institutions Systems;

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References

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Citations

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Cited by:
  1. Bleda, Mercedes & del Río, Pablo, 2013. "The market failure and the systemic failure rationales in technological innovation systems," Research Policy, Elsevier, vol. 42(5), pages 1039-1052.
  2. Cristiano, Antonelli & Ferraris, Gianluigi, 2009. "Innovation as an Emerging System Property: an Agent Based Model," 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 200911, University of Turin.
  3. Anadón, Laura Díaz, 2012. "Missions-oriented RD&D institutions in energy between 2000 and 2010: A comparative analysis of China, the United Kingdom, and the United States," Research Policy, Elsevier, vol. 41(10), pages 1742-1756.
  4. Almas Heshmati & Subal C. Kumbhakar, 2014. "A general model of technical change with an application to the OECD countries," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 23(1), pages 25-48, January.
  5. Cristiano Antonelli & Gianluigi Ferraris, 2011. "Innovation as an Emerging System Property: An Agent Based Simulation Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(2), pages 1.
  6. Margarida CHAGAS LOPES, 2013. "Is public education viable? A brief critical review of neoliberalism in education with a special focus on the Portuguese situation," Journal of Research in Educational Sciences, ASERS Publishing, vol. 0(6), pages 106-120, August.
  7. Hyytinen, Ari & Maliranta, Mika, 2013. "Firm lifecycles and evolution of industry productivity," Research Policy, Elsevier, vol. 42(5), pages 1080-1098.
  8. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei, 2014. "Government control or low carbon lifestyle? – Analysis and application of a novel selective-constrained energy-saving and emission-reduction dynamic evolution system," Energy Policy, Elsevier, vol. 68(C), pages 498-507.
  9. Lindič, Jaka & Bavdaž, Mojca & Kovačič, Helena, 2012. "Higher growth through the Blue Ocean Strategy: Implications for economic policy," Research Policy, Elsevier, vol. 41(5), pages 928-938.
  10. Flanagan, Kieron & Uyarra, Elvira & Laranja, Manuel, 2010. "The ‘policy mix’ for innovation: rethinking innovation policy in a multi-level, multi-actor context," MPRA Paper 23567, University Library of Munich, Germany.

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