摘要
在“数字中国”和创新型国家的建设进程中,从创新子系统与经济发展大系统的视角,构造基于松弛值测算的网络数据包络模型(SBM)测度中国省际科技创新支撑经济发展的效率,并进一步采用Dagum基尼系数和β收敛方法揭示不同区域间的效率差异以及时序收敛特征。研究发现:(1)数字经济背景下中国科技创新支撑经济发展的综合效率整体较高;(2)相比于传统经济,大多数省份科技创新支撑经济发展的综合效率在数字经济背景下有所提升,且这一提升作用主要体现在成果产业化阶段;(3)数字经济背景下科技创新对经济发展的支撑作用仍然受到成果产业化的制约,60%以上省份的成果产业化效率低于创新研发效率;(4)2018年以后,区域间差异成为总体差异的主要来源,全国及重大国家战略区域均存在条件β收敛,数字经济加快了各区域的收敛速度。为深入揭示数字经济背景下科技创新支撑经济发展的内在机理提供了一个新视角,对以数字经济为抓手提升中国创新体系整体效能、实现高质量发展的区域经济布局具有重要理论及现实意义。
In the evolving development landscape,scientific and technological(S&T)innovation has gained substantial prominence,exerting a decisive influence on global competition among nations.China,while maintaining a consistent focus on bolstering research and development(R&D)investments,grapples with a persistent challenge,often described as a divide between S&T and the economy.This disparity in S&T innovation across regions stands as a fundamental cause of imbalances in regional development.Moreover,the advent of the digital economy has substantially altered the speed,depth,breadth,and nature of innovation.Within this digital economy context,a critical inquiry emerges:How can we effectively measure the efficiency of S&T innovation in supporting economic development?This study addresses this question by employing a network Data Envelopment Analysis(DEA)model,utilizing S&T input-output data and macroeconomic data from 30 Chinese provinces.The goal is to measure the efficiency of S&T innovation supporting economic development,comparing it under the traditional economic backdrop versus the digital economy landscape.Furthermore,Dagum Gini coefficient andβconvergence method are adopted to reveal the efficiency differences and temporal convergence characteristics of S&T innovation supporting economic development in different regions.We find that the overall efficiency of S&T innovation supporting economic development in China is notably higher in the context of the digital economy.Most provinces witness an improvement in the comprehensive efficiency of S&T innovation supporting economic development,primarily during the industrialization stage.Despite this advancement,the efficiency of industrialization,in over 60%of provinces,remains inferior to that of R&D.Moreover,post-2018,inter-regional disparities become a primary source of overall differences.Conditionalβconvergence is observed across the country and in major national strategic regions.Notably,the digital economy accelerates the rate of convergence in each region.Building on existing research,this paper extends contributions in three aspects.First,it establishes an analytical framework,examining the interplay among digitalization,S&T innovation,and economic development,adopting a systemic perspective.It also deconstructs the process of S&T innovation supporting economic development into distinct stages,incorporating digital factors at each stage.Second,by comparing the efficiency of S&T innovation supporting economic development within the digital economy and the traditional economy,it effectively discerns the role of digital factors within the system.Lastly,the paper applies the Dagum Gini coefficient method to compute and dissect the efficiency differences of S&T innovation supporting economic development in major strategic regions,employing theβconvergence method to unveil temporal convergence patterns.In conclusion,this paper offers a fresh outlook on understanding the mechanisms of S&T innovation supporting economic development within the digital economy context.Its findings hold significant theoretical and practical implications,illuminating pathways to enhance China’s innovation system’s overall efficiency and facilitate high-quality regional economic development anchored in the digital economy.
作者
庞瑞芝
王宏鸣
PANG Ruizhi;WANG Hongming(Research Center of Enterprises,Nankai University,Tianjin 300071,China;School of Economics,Nankai University,Tianjin 300071,China)
出处
《当代经济科学》
CSSCI
北大核心
2023年第6期70-85,共16页
Modern Economic Science
基金
国家社会科学基金重大项目“大国经济条件下构建自主可控的现代产业体系重大问题研究”(21&ZD099)
南开大学文科发展基金重点项目“数字化与‘鲍莫尔成本病’——理论反思与现实考察”(ZB22BZ0105)
南开大学亚洲研究中心项目“数字经济赋能服务业生产率的机理与路径研究”(AS2104)。
关键词
数字经济
科技创新
经济发展
创新研发效率
产业化效率
网络数据包络模型
digital economy
scientific and technological innovation
economic development
R&D efficiency
industrialization efficiency
network DEA
