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The complementary effects of proximity dimensions on knowledge spillovers

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  • Emanuela Marrocu
  • Raffaele Paci
  • Stefano Usai

Abstract

The purpose of this paper is to analyse the effect of various proximity dimensions on the innovative capacity of 276 regions in Europe within a knowledge production function model, where R&D and human capital are included as the main internal inputs. We combine the standard geographical proximity with the institutional, technological, social and organizational ones to assess whether they are substitutes or complements in channelling knowledge spillovers. Results show that all proximities have a significant complementary role in generating an important flow of knowledge across regions, with the technological closeness playing the most relevant role. Keywords: knowledge production, spillovers, proximity, human capital, weight matrix JEL: C31, O31, O18, O52, R12

Suggested Citation

  • Emanuela Marrocu & Raffaele Paci & Stefano Usai, 2012. "The complementary effects of proximity dimensions on knowledge spillovers," ERSA conference papers ersa12p167, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa12p167
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    More about this item

    Keywords

    knowledge production; spillovers; proximity; human capital; weight matrix jel: c31; o31; o18; o52; r12;
    All these keywords.

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

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