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Scientific breakthroughs, innovation clusters and stochastic growth cycles

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  • Stadler, Manfred

Abstract

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.

Suggested Citation

  • Stadler, Manfred, 2013. "Scientific breakthroughs, innovation clusters and stochastic growth cycles," University of Tuebingen Working Papers in Economics and Finance 60, University of Tuebingen, Faculty of Economics and Social Sciences.
  • Handle: RePEc:zbw:tuewef:60
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    Cited by:

    1. Stadler, Manfred, 2015. "Innovation, industrial dynamics and economic growth," University of Tuebingen Working Papers in Economics and Finance 84, University of Tuebingen, Faculty of Economics and Social Sciences.

    More about this item

    Keywords

    Science; Education; Innovation clusters; Stochastic growth cycles;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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