Authors: Xionghe Qin*, East China Normal University, Debin Du, East China Normal University, Mei-Po Kwan, Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign
Topics: China, Economic Geography, Quantitative Methods
Keywords: R&D efficiency, spatial spillover effect, R&D value chain spillover, network DEA, spatial Durbin model, China
Session Type: Paper
Start / End Time: 8:00 AM / 9:40 AM
Room: 8229, Park Tower Suites, Marriott, Lobby Level
Presentation File: No File Uploaded
Research and development (R&D) efficiency assessment is an effective way for policymakers to develop potential strategy improvements. This article measures regional R&D efficiency from a multi-stage R&D perspective, and examines empirically its spatial spillover effect on the one hand and its value chain spillover effect on the other with 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 the R&D efficiency. When account for the R&D value chain effect we find that the R&D value chain (RVC) spillover takes place intra-regionally but not inter-regionally. This finding indicates that in a knowledge flow context, there exists a two-way R&D value chain spillover where RVC forward spillover effect is stronger than the RVC backward spillover effect. This finding makes useful supplement to research of knowledge spillover that value chain spillovers are different and distinct from those of spatial spillovers open new avenues for empirical inquiry.