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Co‐inventor networks and knowledge production in specialized and diversified cities

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  • Frank van der Wouden
  • David L. Rigby

Abstract

Research on the US urban system has shown that metropolitan regions with more local and non‐local network ties outperform cities where economic agents are isolated. Yet, little attention is given to the character of the local knowledge base and how that influences network structure. We show that co‐inventor networks differ between cities that produce specialized and diversified knowledge. Models of tie‐formation show inventors in specialized cities value spatial proximity less and cognitive proximity more than inventors in diversified cities as they partner with non‐local inventors. These findings suggest that the influence of social networks on knowledge production is conditioned by the architecture of the local knowledge base. La investigación sobre el sistema urbano de los EE.UU. ha demostrado que el desempeño de las regiones metropolitanas con una mayor concentración de vínculos de redes locales y no locales supera al de las ciudades donde los agentes económicos están aislados. Sin embargo, se presta poca atención al carácter de la base de conocimiento local y a la forma en que esto influye en la estructura de la red. Se demuestra que las redes de co‐inventores difieren entre las ciudades que producen conocimientos especializados y diversificados. Los modelos de formación de vínculos muestran que los inventores de las ciudades especializadas valoran menos la proximidad espacial que la proximidad cognitiva en comparación con los inventores de ciudades diversificadas, a la hora de asociarse con inventores no locales. Estos hallazgos sugieren que la influencia de las redes sociales en la producción de conocimiento está condicionada por la arquitectura de la base de conocimiento local. 米国の都市システムに関する研究により、地域的と非地域的なネットワークの結合を持つ大都市の地域が、経済主体が孤立している都市よりも優れていることが示されている。しかしながら、地域のナレッジベースの特性と、それがネットワークの構造にどのように影響するかについては、ほとんど関心が向けられていない。本稿では、共同発明者のネットワークは、専門的および多様な知識を生み出す都市によって異なることを明らかにする。ネットワークの結合形成のモデルから、専門的都市における発明者は、地元以外の発明者と提携するため、多様な都市における発明者ほどには空間的近接性に価値を認めておらず、また多様な都市における発明者よりも認知的近接性に価値を認めていることが示された。これらの知見から、知識生産に対する社会的ネットワークの影響は、地域のナレッジベースの構造によって条件づけられることが示唆される。

Suggested Citation

  • Frank van der Wouden & David L. Rigby, 2019. "Co‐inventor networks and knowledge production in specialized and diversified cities," Papers in Regional Science, Wiley Blackwell, vol. 98(4), pages 1833-1853, August.
  • Handle: RePEc:bla:presci:v:98:y:2019:i:4:p:1833-1853
    DOI: 10.1111/pirs.12432
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    2. Pintar, Nico & Scherngell, Thomas, 2022. "The complex nature of regional knowledge production: Evidence on European regions," Research Policy, Elsevier, vol. 51(8).
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    7. Konan Alain N'Ghauran & Corinne Autant-Bernard, 2020. "Effects of cluster policies on regional innovation networks: Evidence from France," Working Papers halshs-02482565, HAL.
    8. Nicola Cortinovis & Frank van der Wouden, 2021. "Better by design? Collaboration and performance in the board-game industry," Papers in Evolutionary Economic Geography (PEEG) 2104, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jan 2021.
    9. Melissa Haller & David L. Rigby, 2020. "The geographic evolution of optics technologies in the United States, 1976–2010," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1539-1559, December.
    10. Ekaterina Turkina & Boris Oreshkin, 2021. "The Impact of Co-Inventor Networks on Smart Cleantech Innovation: The Case of Montreal Agglomeration," Sustainability, MDPI, vol. 13(13), pages 1-17, June.
    11. Abbasiharofteh, Milad & Kinne, Jan & Krüger, Miriam, 2021. "The strength of weak and strong ties in bridging geographic and cognitive distances," ZEW Discussion Papers 21-049, ZEW - Leibniz Centre for European Economic Research.
    12. Niccolò Innocenti & Francesco Capone & Luciana Lazzeretti & Sergio Petralia, 2022. "The role of inventors’ networks and variety for breakthrough inventions," Papers in Regional Science, Wiley Blackwell, vol. 101(1), pages 37-57, February.
    13. Lin Zhu & Donghua Zhu & Xuefeng Wang & Scott W. Cunningham & Zhinan Wang, 2019. "An integrated solution for detecting rising technology stars in co-inventor networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 137-172, October.
    14. Nicola Cortinovis & Zhiling Wang & Hengky Kurniawan, 2021. "Industrial Relatedness in MNE Spillovers over Geographical Space," Papers in Evolutionary Economic Geography (PEEG) 2111, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Mar 2021.
    15. van der Wouden, Frank & Youn, Hyejin, 2023. "The impact of geographical distance on learning through collaboration," Research Policy, Elsevier, vol. 52(2).
    16. van der Wouden, Frank, 2022. "Are Chinese cities getting smarter in terms of knowledge and technology they produce?," World Development, Elsevier, vol. 150(C).
    17. Caviggioli, Federico & Jensen, Paul & Scellato, Giuseppe, 2020. "Highly skilled migrants and technological diversification in the US and Europe," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    18. Konan Alain N’Ghauran & Corinne Autant-Bernard, 2020. "Effects of cluster policies on regional innovation networks: Evidence from France," Working Papers 2005, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.

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    More about this item

    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
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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