Title | ||
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Spatial spillovers and value chain spillovers: evaluating regional R&D efficiency and its spillover effects in China. |
Abstract | ||
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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. |
Year | DOI | Venue |
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2019 | 10.1007/s11192-019-03054-7 | Scientometrics |
Keywords | Field | DocType |
R&D efficiency, Spatial spillover effects, R&D value chain spillover, Network DEA, Spatial Durbin model, China | Panel data,Econometrics,Data mining,Spatial dependence,Computer science,China,Spillover effect,Knowledge flow | Journal |
Volume | Issue | ISSN |
119 | 2 | 0138-9130 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xionghe Qin | 1 | 0 | 0.34 |
Debin Du | 2 | 0 | 0.34 |
Mei-Po Kwan | 3 | 336 | 45.13 |