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Proximity and Distance in Knowledge Relationships: From Micro to Structural Considerations based on Territorial Knowledge Dynamics (TKDs)

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  • Joan Crespo
  • J�rôme Vicente

Abstract

C respo J. and V icente J. Proximity and distance in knowledge relationships: from micro to structural considerations based on territorial knowledge dynamics (TKDs), Regional Studies . Among the key parameters identified in territorial knowledge dynamics (TKDs), this paper focuses on the balance and trade-off between proximity and distant relations, especially as far as knowledge relationships are concerned. This entry is investigated through an original process consisting in combining micro-motives for knowledge relationships and structural properties of resulting knowledge networks, always paying attention to the balance between proximity and distance. From the information available in EURODITE case studies and the presentation of the methodology, the micro-foundations of proximity and distance in knowledge relationships are explored according to the knowledge trade-off and the complex knowledge value chain that typify the modern knowledge process. Based on these micro-considerations, a structural analysis of TKDs is inferred that provides significant patterns of their structuring. From these patterns policy implications are extracted which show that collaborative incentives on some particular missing links fit better with effective policies than the common view of 'connecting people' policies.

Suggested Citation

  • Joan Crespo & J�rôme Vicente, 2016. "Proximity and Distance in Knowledge Relationships: From Micro to Structural Considerations based on Territorial Knowledge Dynamics (TKDs)," Regional Studies, Taylor & Francis Journals, vol. 50(2), pages 202-219, February.
    • Handle: RePEc:taf:regstd:v:50:y:2016:i:2:p:202-219
    DOI: 10.1080/00343404.2014.984671
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    References listed on IDEAS

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    1. Bjørn Asheim & Ron Boschma & Philip Cooke, 2011. "Constructing Regional Advantage: Platform Policies Based on Related Variety and Differentiated Knowledge Bases," Regional Studies, Taylor & Francis Journals, vol. 45(7), pages 893-904.
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    Cited by:

    1. Zafer Sonmez, 2017. "Inventor mobility and the geography of knowledge flows: evidence from the US biopharmaceutical industry," Science and Public Policy, Oxford University Press, vol. 44(5), pages 670-682.
    2. Tengfei Wang & Henrik Halkier & Laura James & Renxu Gu & Cheng Chi, 2022. "External Knowledge Linkages and the Evolution of Comparative Advantage: An Examination of Territorial Knowledge Dynamics in China," Sustainability, MDPI, vol. 14(8), pages 1-14, April.
    3. Lucena-Piquero, D. & Vicente, Jérôme, 2019. "The visible hand of cluster policy makers: An analysis of Aerospace Valley (2006-2015) using a place-based network methodology," Research Policy, Elsevier, vol. 48(3), pages 830-842.
    4. Mariane Santos Françoso¹ & Nicholas S. Vonortas, 2023. "Gatekeepers in regional innovation networks: Evidence from an emerging economy," The Journal of Technology Transfer, Springer, vol. 48(3), pages 821-841, June.
    5. Luo, Kang & Lee, Chien-Chiang & Zeng, Mingli & Hu, Weihui, 2024. "How does the development of digital economy in central cities promote the coordinated development of regions? Evidence from 19 urban agglomerations in China," Technology in Society, Elsevier, vol. 78(C).
    6. Hugo Pinto & Jorge André Guerreiro & Manuel Fernández-Esquinas, 2023. "Sources of knowledge in the firm: a review on influential, internal and contextual factors in innovation dynamics," SN Business & Economics, Springer, vol. 3(2), pages 1-32, February.

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