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“Do labour mobility and technological collaborations foster geographical knowledge diffusion? The case of European regions”

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  • Ernest Miguélez

    (Economics and Statistics Division, WIPO and AQR-IREA)

  • Rosina Moreno

    (Faculty of Economics, University of Barcelona)

Abstract

The goal of this paper is twofold: first, we aim to assess the role played by inventors’ cross-regional mobility and collaborations in fostering knowledge diffusion across regions and subsequent innovation. Second, we intend to evaluate the feasibility of using mobility and co-patenting information to build cross-regional interaction matrices to be used within the spatial econometrics toolbox. To do so, we depart from a knowledge production function where regional innovation intensity is a function not only of the own regional innovation inputs but also external accessible knowledge stocks gained through interregional interactions. Differently from much of the previous literature, cross-section gravity models of mobility and co-patents are estimated to use the fitted values to build our ‘spatial’ weights matrices, which characterize the intensity of knowledge interactions across a panel of 269 regions covering most European countries over 6 years.

Suggested Citation

  • Ernest Miguélez & Rosina Moreno, 2013. "“Do labour mobility and technological collaborations foster geographical knowledge diffusion? The case of European regions”," AQR Working Papers 201306, University of Barcelona, Regional Quantitative Analysis Group, revised Jul 2013.
  • Handle: RePEc:aqr:wpaper:201306
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    2. Yuxue Sheng & James LeSage, 2021. "A spatial regression methodology for exploring the role of regional connectivity in knowledge production: Evidence from Chinese regions," Papers in Regional Science, Wiley Blackwell, vol. 100(4), pages 847-874, August.
    3. Xu, Mo & Tao, Changqi, 2024. "How to reach new technological specialisation: The role of related technological capabilities and complementary technological linkages," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    4. David de la Croix & Frédéric Docquier & Alice Fabre & Robert Stelter, 2024. "The Academic Market and The Rise of Universities in Medieval and Early Modern Europe (1000–1800)," Journal of the European Economic Association, European Economic Association, vol. 22(4), pages 1541-1589.
    5. Sari Pekkala Kerr & William R. Kerr, 2018. "Global Collaborative Patents," Economic Journal, Royal Economic Society, vol. 128(612), pages 235-272, July.
    6. Riccardo Cappelli & Ron Boschma & Anet Weterings, 2019. "Labour mobility, skill-relatedness and new plant survival across different development stages of an industry," Environment and Planning A, , vol. 51(4), pages 869-890, June.
    7. Roberta Capello & Attila Varga, 2013. "Knowledge creation and knowledge diffusion in space and regional innovation performance: introductory remarks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 51(1), pages 113-118, August.
    8. Ron Boschma & Riccardo Cappelli & Anet Weterings, 2017. "Labour mobility, skill-relatedness and plant survival over the industry life cycle: Evidence from new Dutch plants," Papers in Evolutionary Economic Geography (PEEG) 1731, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Dec 2017.
    9. Morescalchi, Andrea & Pammolli, Fabio & Penner, Orion & Petersen, Alexander M. & Riccaboni, Massimo, 2015. "The evolution of networks of innovators within and across borders: Evidence from patent data," Research Policy, Elsevier, vol. 44(3), pages 651-668.
    10. Bangjuan Wang & Weisheng Mao & Junxian Piao & Chengliang Liu, 2023. "Does external linkage stimulate innovation capacity? The analysis based on “dual‐pipelines” framework," Papers in Regional Science, Wiley Blackwell, vol. 102(3), pages 613-633, June.
    11. Skare, Marinko & Soriano, Domingo Riberio, 2021. "Technological and knowledge diffusion link: An international perspective 1870–2019," Technology in Society, Elsevier, vol. 66(C).

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    inventors’ spatial mobility; co-patenting; gravity models; weights matrix; knowledge production function. JEL classification: C8; J61; O31; O33; R0.;
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