广东省科技创新效率的格局演变与动力机制

使用超效率数据包络分析(DEA)模型测度广东省2006—2019年的科技创新效率,并对其时空演化特征、阶段、发展类型及动力机制进行分析.结果表明:2006—2019年广东省科技创新效率的时空演化过程具有整体性向前、阶段性波折、峰谷值交替的特征,可分为粗放型发展、转型升级、可持续发展3个阶段;科技创新效率的演变类型可划分为平稳型、上升型和波动型3种类型;根据演化的驱动因素,可分为资源驱动、技术驱动、政策和技术双轮驱动3种动力机制.根据分析结果,从布局城市群科技创新生态圈、科研资源投入的多元化、建构区域科技创新治理体系等方面提出对策建议.

Pattern Evolution and Motivation Mechanism of Guangdong's Science and Technology Innovation Efficiency

This paper measures the efficiency of Scientific and technological innovation(STI) in Guangdong Province from 2006 to 2019 by using the super-efficiency DEA model, and analyzes its temporal and spatial evolution characteristics, stages, development types and dynamic mechanisms. The results shows that the spatial-temporal evolution process of STI efficiency in Guangdong Province from 2006 to 2019 has the characteristics of overall forward, phased ups and downs, and alternating peaks and valleys. It can be divided into three stages, namely extensive development, transformation and upgrading, and sustainable development. The evolution types of technological innovation can be divided into three types: the stable, the rising, and the volatile. From the perspective of the driving factors of evolution, it can be divided into three power mechanisms: the resource-driven, the technology-driven, and the joint-drive of policy and technology. According to the analysis results, this paper proposed countermeasures and suggestions in terms of the layout of the scientific and technological innovation ecosystem of urban agglomerations, the diversification of scientific research resources, and the construction of a regional technological innovation governance system.