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In knowledge we trust: learning-by-interacting and the productivity of inventors

Author

Listed:
  • M Tubiana
  • Ernest Miguelez

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

  • Rosina Moreno

Abstract

Innovation rarely happens through the actions of a single person. Innovators source their ideas while interacting with their peers, at different levels and with different intensities. In this paper, we exploit a dataset of disambiguated inventors in European cities to assess the influence of their interactions with co-workers, organizations' colleagues, and geographically co-located peers, to understand if the different levels of interaction influence their productivity. Following inventors' productivity over time and adding a large number of fixed effects to control for unobserved heterogeneity, we uncover critical facts, such as the importance of city knowledge stocks for inventors' productivity, with firm knowledge stocks and network knowledge stocks being of smaller importance. However, when the complexity and quality of knowledge is accounted for, the picture changes upside down, and closer interactions (individuals' coworkers and firms' colleagues) become way more important.

Suggested Citation

  • M Tubiana & Ernest Miguelez & Rosina Moreno, 2021. "In knowledge we trust: learning-by-interacting and the productivity of inventors," Working Papers hal-03097302, HAL.
  • Handle: RePEc:hal:wpaper:hal-03097302
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    Cited by:

    1. Abbasiharofteh, Milad & Kogler, Dieter F. & Lengyel, Balázs, 2023. "Atypical combinations of technologies in regional co-inventor networks," Research Policy, Elsevier, vol. 52(10).
    2. Esposito, Christopher R., 2023. "The geography of breakthrough invention in the United States over the 20th century," Research Policy, Elsevier, vol. 52(7).
    3. Guido Pialli, 2023. "The effects of limited exhaustibility of knowledge and geographical distance on the quality of R&D collaborations: The European evidence 2000–2012," Journal of Evolutionary Economics, Springer, vol. 33(4), pages 1125-1169, September.
    4. Massimiliano Coda Zabetta & Christian Chacua & Francesco Lissoni & Ernest Miguelez & J. Raffo & Deyun Yin, 2021. "The missing link: international migration in global clusters of innovation," Working Papers hal-03162708, HAL.
    5. Ann Hipp & Björn Jindra & Kehinde Medase, 2024. "Overcoming barriers to technology transfer: empirical evidence from the German Democratic Republic," The Journal of Technology Transfer, Springer, vol. 49(5), pages 1787-1821, October.
    6. Rosalia Castellano & Gaetano Musella & Gennaro Punzo, 2024. "How Do Agglomeration Externalities and Workforce Skills Drive Innovation? Empirical Evidence from Italy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 6737-6760, June.

    More about this item

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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