摘要
为探究工业科技创新效率的动态变化和空间分布格局,本文以粤港澳大湾区工业科技创新系统为研究对象,运用超效率数据包络分析模型评价2011~2018年各城市工业科技创新系统的相对有效性。动态视角下联合Malmquist指数分析科技创新效率的变化,动静结合揭示大湾区工业科技创新效率变动的深层原因。从时空双维度出发,利用GIS技术探究科技创新效率的空间演变规律。研究结果表明:(1)工业科技创新有效城市占比增大,非有效城市效率值呈上升趋势;(2)大湾区全要素生产率得以提高主要源于技术效率的上升,技术进步是制约科技创新生产率增长的关键因素;(3)从空间分布格局来看,工业科技创新高效率区向大湾区东部转移,逐渐呈现连片化趋势。
Using the method of Super SBM,this paper analyses and evaluates the relative effectiveness of the industrial scie-nce and technology innovation system for the cities in the Great Bay Area from 2011 to 2018.Combined with the Malmquist index,this paper analyzes the change of science and technology innovation efficiency from a dynamic perspective and looks into the deep reasons for its changes.In addition,this paper uses GIS technology to explore the space-time change of the efficiency of scientific and technological innovation.The results show that:(1)the proportion of effective cities in industrial scientific and technological innovation is increasing,while the efficiency of non-effective cities is on the rise;(2)the increase of total factor productivity in the area is mainly due to the rise of technical efficiency,and technological progress is the key factor in the growth of scientific and technological innovation productivity;(3)from the perspective of spatial distribution pattern,the industrial science and technology innovation high-efficiency area has extended to the east of Greater Bay Area,showing the trend of its enlargement.
作者
李影
张鹏
曾永泉
Li Ying;Zhang Peng;Zeng Yongquan(School of Economics and Management,South China Normal University,Guangzhou 510006,China;College of Humanities and Social sciences,Zhongkai University of Agriculture and Engineering,Guangzhou 510225,China)
出处
《工业技术经济》
CSSCI
北大核心
2020年第8期21-27,共7页
Journal of Industrial Technological Economics
基金
广东省软科学项目“粤港澳大湾区金融集聚对科技创新效率的影响研究”(项目编号:2019A101002052)
广东省软科学项目“基于DEA的广东省科技金融效率评价及影响因素分析”(项目编号:2018A070712030)
广东省软科学项目“广东省科技金融与科技创新协同发展研究”(项目编号:2019A101002066)
广东省社会科学项目“粤港澳大湾区金融支持对科技创新效率的影响研究”(项目编号:GD19CGL32)。