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Regional recombinant novelty, related and unrelated technologies: a patent-level approach

Author

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  • Anne Plunket

    (RITM - Réseaux Innovation Territoires et Mondialisation - UP11 - Université Paris-Sud - Paris 11)

  • Felipe Starosta de Waldemar

    (RITM - Réseaux Innovation Territoires et Mondialisation - UP11 - Université Paris-Sud - Paris 11)

Abstract

This paper investigates the impact of regional technological relatedness on the emergence of recombinant novelty (i.e. new combinations of subclasses occurring for the first time) in French regions using patent data over 1990-2010. We find that relatedness favors incremental innovations which reuse already applied combinations, whereas increasing levels of relatedness reduces the likelihood of novelty. However, the impact is less negative when combined technologies are new, unrelated or not locally specialized because it facilitates learning and technological recombination. We also find that universities and large incumbents are less dependent on relatedness than small and novel players to create novelty.

Suggested Citation

  • Anne Plunket & Felipe Starosta de Waldemar, 2022. "Regional recombinant novelty, related and unrelated technologies: a patent-level approach," Working Papers hal-03567051, HAL.
    • Handle: RePEc:hal:wpaper:hal-03567051
    Note: View the original document on HAL open archive server: https://universite-paris-saclay.hal.science/hal-03567051
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    Cited by:

    1. Nils Grashof & Holger Graf, 2023. "Universities that matter for regional knowledge base renewal - the role of multilevel embeddedness," Jena Economics Research Papers 2023-009, Friedrich-Schiller-University Jena.
    2. J. Giorgi & A. Plunket & F. Starosta De Waldemar, 2024. "Inter-regional highly skilled worker mobility and technological novelty," Documents de Travail de l'Insee - INSEE Working Papers 2024-05, Institut National de la Statistique et des Etudes Economiques.

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    Keywords

    innovation; recombinant novelty; technological relatedness; Regional development;
    All these keywords.

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