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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 721-747 |
| Number of pages | 27 |
| Journal | Scientometrics |
| Volume | 119 |
| Issue number | 2 |
| DOIs | |
| State | Published - May 15 2019 |
Keywords
- China
- Network DEA
- R&D efficiency
- R&D value chain spillover
- Spatial Durbin model
- Spatial spillover effects
ASJC Scopus subject areas
- General Social Sciences
- Computer Science Applications
- Library and Information Sciences