摘要
                
                    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。
                
                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 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, and 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, the 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.
    
    
                作者
                    吴国栋
                    温展杰
                Wu Guodong;Wen Zhanjie(Guangdong R&D Center for Technological Economy,Guangzhou 510070,China;Guangdong University of Finance,Guangzhou 510521,China)
     
    
    
                出处
                
                    《科技管理研究》
                        
                                CSSCI
                                北大核心
                        
                    
                        2021年第24期74-80,共7页
                    
                
                    Science and Technology Management Research
     
            
                基金
                    广东省自然科学基金项目“广东省自然科学基金多元化资助的资金池构建与管理探究”(2018A030313920)
                    广东省科技计划项目“广东省基础科学研究能力提升研究”(2018B070713008)。
            
    
                关键词
                    科技创新
                    效率测度
                    时空演化
                    动力机制
                    数据包络分析
                
                        scientific and technological innovation
                        temporal and spatial evolution
                        dynamic mechanism
                        efficiency measurement
                        data envelopment analysis
                
     
    
    
                作者简介
吴国栋(1982-),男,广东汕尾人,助理研究员,主要研究方向为科技政策与创新管理研究、绩效评价;通信作者:温展杰(1992-),男,广东陆丰人,助教,主要研究方向为数据挖掘、效率评价。