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The Pattern Of Knowledge Flows Between Technology Fields

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  • Mauro Caminati
  • Arsenio Stabile

Abstract

This paper exploits recent contributions to the notions of modularity and autocatalytic sets to identify the functional and structural units that define the strongest systematic and self‐sustaining channels of knowledge transfer and accumulation within the network of knowledge flows between technology fields. Our analysis reconstructs the architecture of the empirical knowledge pattern based on the United States Patent and Trademark Office (USPTO) patent citation data at the level of resolution of three‐digit technology classes, for the period 1975–99.

Suggested Citation

  • Mauro Caminati & Arsenio Stabile, 2010. "The Pattern Of Knowledge Flows Between Technology Fields," Metroeconomica, Wiley Blackwell, vol. 61(2), pages 364-397, May.
    • Handle: RePEc:bla:metroe:v:61:y:2010:i:2:p:364-397
    DOI: 10.1111/j.1467-999X.2009.04073.x
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    References listed on IDEAS

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    Cited by:

    1. Caminati, Mauro, 2009. "A knowledge based approach to collaboration in basic research," MPRA Paper 18864, University Library of Munich, Germany.
    2. François Lafond & Daniel Kim, 2019. "Long-run dynamics of the U.S. patent classification system," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 631-664, April.
    3. Shoji Haruna & Rajeev K. Goel, 2017. "Output subsidies in mixed oligopoly with research spillovers," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(2), pages 235-256, April.

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