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Scientific breakthroughs, innovation clusters and stochastic growth cycles

  • Stadler, Manfred

We develop a dynamic stochastic general-equilibrium model of science, education and innovation to explain the simultaneous emergence of innovation clusters and stochastic growth cycles. Firms devote human-capital resources to research activities in order to invent higher quality products. The technological requirements in climbing up the quality ladders increase over time but this hampering effect is compensated for by an improving qualification of researchers allowing for a sustainable process of innovation and scale-invariant growth. Jumps in human capital, triggered by scientific breakthroughs, induce innovation clusters across industries and generate long-run growth cycles.

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Paper provided by University of Tuebingen, Faculty of Economics and Social Sciences in its series University of Tuebingen Working Papers in Economics and Finance with number 60.

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Date of creation: 2013
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Handle: RePEc:zbw:tuewef:60
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  1. B. Verspagen & G. Silverberg, 2000. "Breaking the waves: a poisson regression approach to schumpeterian clustering of basic innovations," Working Papers 00.16, Eindhoven Center for Innovation Studies.
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  19. Kenneth I. Carlaw & Richard G. Lipsey, 2006. "Gpt-Driven, Endogenous Growth," Economic Journal, Royal Economic Society, vol. 116(508), pages 155-174, 01.
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