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R&D networks and regional knowledge production in Europe. Evidence from a space-time model

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  • Wanzenböck, Iris
  • Piribauer, Philipp
Abstract
In this paper we estimate space-time impacts of the embeddedness in R&D networks on regional knowledge production by means of a dynamic spatial panel data model with non-linear effects for a set of 229 European NUTS-2 regions in the period 1999-2009. Embeddedness refers to the positioning in networks where nodes represent regions that are linked by joint R&D endeavours in European Framework Programmes. We observe positive immediate impacts on regional knowledge production arising from increased embeddedness in EU funded R&D networks, in particular for regions with lower own knowledge endowments. However, long-term impacts of R&D network embeddedness are comparatively small.(authors' abstract)

Suggested Citation

  • Wanzenböck, Iris & Piribauer, Philipp, 2015. "R&D networks and regional knowledge production in Europe. Evidence from a space-time model," Department of Economics Working Paper Series 207, WU Vienna University of Economics and Business.
    • Handle: RePEc:wiw:wus005:4652
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    Cited by:

    1. Emanuela Marrocu & Raffaele Paci & Stefano Usai, 2022. "Direct and indirect effects of universities on European regional productivity," Papers in Regional Science, Wiley Blackwell, vol. 101(5), pages 1105-1133, October.
    2. Weidenfeld, Adi & Makkonen, Teemu & Clifton, Nick, 2021. "From interregional knowledge networks to systems," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    3. Martina Neuländtner & Thomas Scherngell, 2020. "Geographical or relational: What drives technology-specific R&D collaboration networks?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 65(3), pages 743-773, December.
    4. Cristian Barra & Nazzareno Ruggiero, 2022. "How do dimensions of institutional quality improve Italian regional innovation system efficiency? The Knowledge production function using SFA," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 591-642, April.
    5. Haschka, Rouven E. & Herwartz, Helmut, 2020. "Innovation efficiency in European high-tech industries: Evidence from a Bayesian stochastic frontier approach," Research Policy, Elsevier, vol. 49(8).

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    More about this item

    Keywords

    R&D networks; European Framework Programme; regional knowledge production; dynamic spatial panel data model; space-time impacts;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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