科技自立自强视域下高校科技创新效率测度及分布特征——基于31个省份及重点区域的实证分析  

Measurement and Distribution Characteristics of Science and Technology Innovation Efficiency in Colleges and Universities from the Perspective of Technology Self-sufficiency and Self-improvement Based on Empirical Research of 31 Provinces and Key Regions in China

作　　者：李国才 曾刚[2] Li Guocai;Zeng Gang(Development Planning and Discipline Building Division,Civil Aviation University of China;School of Economics and Management,Civil Aviation University of China,Tianjin 300300,China)

机构地区：[1]中国民航大学发展规划与学科建设处 [2]中国民航大学经济与管理学院,天津300300

出　　处：《科技管理研究》2023年第21期1-10,共10页Science and Technology Management Research

基　　金：国家自然科学基金青年科学基金项目“‘亼形悖论’下公共文化服务的居民有限参与及涌现式突破路径”(72104237);天津市教委社会科学重大项目“天津市航空产业特色学科群建设研究”(2022JWZD16)。

摘　　要：为深入探究高校科技创新投入产出效率,精准优化科技创新资源配置、加快高水平科技自立自强实现,以2017—2021年我国31个省份高校科技创新数据为基础,利用BCC模型和Malmquist指数,对不同省域、不同地区、不同城市群高校科技创新效率进行静态和动态分析。研究结果表明,(1)31个省份高校科技创新效率整体较低,17个省份高校科技创新存在投入冗余问题,29个省份高校科技创新存在产出不足问题;(2)地区间高校科技创新效率呈现出西强东弱状态;(3)城市群间高校科技创新效率呈现出“长江三角洲城市群>成渝地区双城经济圈>长江经济带>京津冀城市群”状态。由此提出建立以效率为准绳的科技资源配置策略、以效益为导向的创新成果评价机制和以服务为基础的科研政策保障体系的建议,以提升高校科技创新效率。In order to more accurately optimize the allocation of technological innovation resources and accelerate the realization of high-level technological Self-sufficiency and Self-improvement by make a profound study on Inputoutput efficiency of scientific and technological innovation in universities,this paper uses the data on science and technology innovation in colleges and universities in 31 provinces of China from 2017-2021 as the basis of the study,and uses the BCC model and Malmquist index to carry out static and dynamic calculations on the efficiency of science and technology innovation in universities in diferent provinces,regions and city clusters.The results of the study show as follows:(1)The overall efficiency of science and technology innovation in universities in 31 provinces is relatively low,and science and technology innovation in universities has the problems of input redundancy in 17 provinces,output shortage in 29 provinces;(2)The efficiency of science and technology innovation in universities between regions is high in the west and low in the east;(3)The eficiency of university science and technology innovation among urban clusters shows the trend as:Yangtze River Delta City Cluster>Chengdu-Chongqing Region Twin Cities Economic Circle>Yangtze River Economic Belt>Beijing-Tianjin-Hebei City Cluster.Thus,it is proposed that the strategies for allocating scientific and technological resources based on efficiency,the achievement-oriented evaluation mechanism for innovative outcomes and the service-based research policy system should be established,so that improve the efficiency of scientific and technological innovation in universities.

关 键 词：科技创新 BCC模型 MALMQUIST指数 

分 类 号：G301[文化科学] F124.3[经济管理—世界经济]