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Regional knowledge spaces: the interplay of entry-relatedness and entry-potential for technological change and growth

Author

Listed:
  • Dieter F. Kogler

    (University College Dublin)

  • Ronald B. Davies

    (University College Dublin)

  • Changjun Lee

    (Hanyang University)

  • Keungoui Kim

    (AI Convergence Institute, Handong Global University
    University College Dublin)

Abstract

This paper aims to uncover the mechanism of how the network properties of regional knowledge spaces contribute to technological change from the perspective of regional knowledge entry-relatedness and regional knowledge entry-potential. Entry-relatedness, which has been previously employed to investigate the technology evolution of regional economies, is advanced by introducing a knowledge gravity model. The entry-potential of a newly acquired regional specialisation has been largely ignored in the relevant literature; surprisingly given the high relevance that is attributed to the recombination potential of new capabilities. In other words, just adding new knowledge domains to a system is not sufficient alone, it really depends on how these fit into the existing system and thus can generate wider economic benefits. Based on an empirical analysis of EU-15 Metro and non-Metro regions from 1981 to 2015, we find that entry-relatedness has a significant negative association with novel inventive activities, while entry-potential has a significant positive association with the development of novel products and processes of economic value. This highlights that regions’ capacity to venture into high-potential areas of technological specialization in the knowledge space outperforms purely relatedness driven diversification that is frequently promoted in the relevant literature.

Suggested Citation

  • Dieter F. Kogler & Ronald B. Davies & Changjun Lee & Keungoui Kim, 2023. "Regional knowledge spaces: the interplay of entry-relatedness and entry-potential for technological change and growth," The Journal of Technology Transfer, Springer, vol. 48(2), pages 645-668, April.
    • Handle: RePEc:kap:jtecht:v:48:y:2023:i:2:d:10.1007_s10961-022-09924-2
    DOI: 10.1007/s10961-022-09924-2
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    Cited by:

    1. Alessandra Colombelli & Elettra D’Amico & Emilio Paolucci, 2023. "When computer science is not enough: universities knowledge specializations behind artificial intelligence startups in Italy," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1599-1627, October.
    2. Olena Khlystova & Yelena Kalyuzhnova, 2023. "The impact of the creative industries and digitalization on regional resilience and productive entrepreneurship," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1654-1695, October.

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    More about this item

    Keywords

    Regional knowledge space; Entry-relatedness; Knowledge gravity model; Entry-potential; Co-occurrence network; Patent analysis; Technological change; EU;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • 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

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