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Collaborative Knowledge Creation: Evidence from Japanese Patent Data

Author

Listed:
  • Tomoya Mori

    () (Institute of Economic Research, Kyoto University)

  • Shosei Sakaguchi

    () (Department of Economics, University College London)

Abstract

This paper presents micro-econometric evidence for collaborative knowledge creation at the level of individual researchers. The key determinant for developing new ideas is the exchange of differentiated knowledge among collaborators. To stay creative, inventors seek opportunities to shift their technological expertise to unexplored niches by utilizing the differentiated knowledge of new collaborators. Moreover, the knowledge stock of an inventor, proxied by the scope of an inventor’s past research, has positive and negative effects on their productivity. This is because it facilitates successful collaboration; however, simultaneously, the dependence on older knowledge hinders invention possibly due to the obsolescence and exhaustion of niches by imitation.

Suggested Citation

  • Tomoya Mori & Shosei Sakaguchi, 2019. "Collaborative Knowledge Creation: Evidence from Japanese Patent Data," KIER Working Papers 998, Kyoto University, Institute of Economic Research.
  • Handle: RePEc:kyo:wpaper:998
    as

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    File URL: http://www.kier.kyoto-u.ac.jp/DP/DP998.pdf
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Knowledge creation; Collaboration; Differentiated knowledge; Patents; Technological novelty; Technological shift; Recombination; Network;

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

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