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Patterns of Discovery

Author

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  • Mauro Caminati
  • Serena Sordi
  • Arsenio Stabile

Abstract

From a given directed weighted network of knowledge links between technology fields, the paper develops a multisector dynamic model of incremental innovation and R&D activity in these fields. The model is focused on the equilibrium share distribution of these variables, which is proved to be locally stable, with reference to a simple low dimensional case. Simulation methods suggest that local, and also global, stability extend to any model dimension. It is also shown how different network structures map to different asymptotic share distributions. Using the NBER patents and patent citation data files, the analytical framework is then used to analyse some general features of the pattern of knowledge creation and transfer in the period 1975-1999. From a descriptive viewpoint, the changes in the share distribution of innovation activity predicted by the model match reasonably well the actual changes in the period

Suggested Citation

  • Mauro Caminati & Serena Sordi & Arsenio Stabile, 2006. "Patterns of Discovery," Department of Economics University of Siena 473, Department of Economics, University of Siena.
    • Handle: RePEc:usi:wpaper:473
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    References listed on IDEAS

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    1. Devine, Warren D., 1983. "From Shafts to Wires: Historical Perspective on Electrification," The Journal of Economic History, Cambridge University Press, vol. 43(2), pages 347-372, June.
    2. Hall, B. & Jaffe, A. & Trajtenberg, M., 2001. "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools," Papers 2001-29, Tel Aviv.
    3. Adam B. Jaffe & Manuel Trajtenberg, 2005. "Patents, Citations, and Innovations: A Window on the Knowledge Economy," MIT Press Books, The MIT Press, edition 1, volume 1, number 026260065x, April.
    4. Pavitt, Keith, 1998. "Technologies, Products and Organization in the Innovating Firm: What Adam Smith Tells Us and Joseph Schumpeter Doesn't," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 7(3), pages 433-452, September.
    5. Martin L. Weitzman, 1998. "Recombinant Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(2), pages 331-360.
    6. Cowan, Robin, 2004. "Network models of innovation and knowledge diffusion," Research Memorandum 016, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    7. David, Paul A, 1990. "The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox," American Economic Review, American Economic Association, vol. 80(2), pages 355-361, May.
    8. Mauro Caminati, 2006. "Knowledge growth, complexity and the returns to R&D," Journal of Evolutionary Economics, Springer, vol. 16(3), pages 207-229, August.
    9. Stanley Reiter, 1992. "Knowledge, Discovery and Growth," Discussion Papers 1011, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
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    Cited by:

    1. Mauro Caminati & Arsenio Stabile, 2010. "The Pattern Of Knowledge Flows Between Technology Fields," Metroeconomica, Wiley Blackwell, vol. 61(2), pages 364-397, May.

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    More about this item

    Keywords

    directed weighted network; knowledge spillovers; share distribution; incremental innovation and R&D dynamics; local stability; simulation; patents and patent citations;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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