Abstract：Based on the panel data of 30 provincial-level administrative regions in China from 2001 to 2019, this study utilizes the three-stage data envelopment analysis (DEA) model to measure the efficiency of regional innovation. Furthermore, the Dubin model is combined to explore the spatial effect of co-agglomeration of producer services and high-tech industries on regional innovation efficiency. The experimental results demonstrate that the co-agglomeration of producer services and high-tech industries can significantly improve the regional innovation efficiency but has no significant impact on neighboring regions. Further research proves that, compared with the scale efficiency, the co-agglomeration of producer services and high-tech industries has a smaller improvement degree for the pure technological efficiency of innovation; at the national level and sub-regional level, the co-agglomeration of high-tech industries and information transmission, software and information technology services fails to improve the efficiency of regional innovation; in the central area of China, the co-agglomeration of high-tech industries and producer services or its five sub-industries has no positive effect on the innovation efficiency in the region and its neighboring regions.
王文成，隋苑. 生产性服务业和高技术产业协同集聚对区域创新效率的空间效应研究[J]. 管理学报, 2022, 19(5): 696-.
WANG Wencheng，SUI Yuan. The Spatial Effect of Co-Agglomeration of Producer Services and High-Tech Industries on Regional Innovation Efficiency. Chinese Journal of Management, 2022, 19(5): 696-.
