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Spatial spillovers and value chain spillovers: evaluating regional R&D efficiency and its spillover effects in China

Author

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  • Xionghe Qin

    (East China Normal University
    East China Normal University
    University of Illinois at Urbana-Champaign)

  • Debin Du

    (East China Normal University
    East China Normal University)

  • Mei-Po Kwan

    (University of Illinois at Urbana-Champaign
    Utrecht University)

Abstract

Research and development (R&D) efficiency assessment is an effective way for policymakers to develop strategies to increase the beneficial impacts of R&D. This study measures regional R&D efficiency from a multi-stage R&D perspective. It examines the spatial spillover effects and value chain spillover effects of R&D using panel data from 2009 to 2016 for 30 provinces in China. By estimating a spatial Durbin model, we find evidence of strong spatial dependence in R&D efficiency in China. With respect to R&D value chain effects, we find that R&D value chain spillovers took place intra-regionally but not inter-regionally. This finding indicates that in a knowledge flow context, there are two-way R&D value chain spillovers in which the forward spillover effects are stronger than the backward spillover effects. This finding adds important new knowledge to research on knowledge spillovers: distinguishing between value chain spillovers and spatial spillovers opens new avenues for future empirical inquiries.

Suggested Citation

  • Xionghe Qin & Debin Du & Mei-Po Kwan, 2019. "Spatial spillovers and value chain spillovers: evaluating regional R&D efficiency and its spillover effects in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 721-747, May.
    • Handle: RePEc:spr:scient:v:119:y:2019:i:2:d:10.1007_s11192-019-03054-7
    DOI: 10.1007/s11192-019-03054-7
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