中国科技人才开发质量评价及障碍度因子诊断——基于31个省份的面板数据

Evaluation and Obstacle Factors Diagnose of the Development Quality of Scientific and Technological Talents in China——Based on Panel Data of 31 Provinces(Autonomous Regions,Municipalities)

通过构建中国科技人才开发质量评价指标体系,利用各省份的面板数据,采用变异系数——改进的TOPSIS逼近法评价分析并进行障碍度诊断,最后提出对应的政策建议,对加快提升我国科技人才开发质量具有相当的参考作用。研究表明:我国31个省份2009—2018年科技人才开发质量呈现稳步上升态势,各省份存在一定差距,这一差距正逐渐减小,其中北京属于科技人才开发质量综合水平引领型,广东、江苏属于科技人才开发投入水平引领型,浙江、山东、上海属于科技人才开发效率引领型,四川、贵州、重庆属于科技人才开发潜力突出型。从障碍因素看,中国各地区科技人才开发质量提升的最主要障碍是企业科技人才短缺和科技经费不足,其次是人均GDP和工业增加值率较低。

The paper constructs a quality evaluation index system for the development of scientific and technological talents in China,Through the coefficient of variation-improved TOPSIS approximation method,we put forward corresponding policy advice which has some reference value to accelerate the promotion of scientific and technological talents development quality by analyzing and diagnosing obstacle factors based on panel data of various provinces..This research shows that the development quality of scientific and technological talent has upward tendency from 2009 to 2018 in 31 provinces(autonomous regions,municipalities)of China.Although the development quality of scientific and technological talent in different provinces(autonomous regions,municipalities)has some gaps,the gaps are gradually decreasing.Among them,Beijing belongs to the leading type of the development quality of scientific and technological talents;Guangdong and Jiangsu belong to the leading type of investment in the development of scientific and technological talents;Zhejiang,Shandong,and Shanghai are the leading type of scientific and technological talent development efficiency;Sichuan,Guizhou,and Chongqing are the types with outstanding potential for the development of scientific and technological talents.In terms of obstacles,we discover that it has two important obstacles which hampers the development quality of scientific and technological talents in various regions in China.One is the shortage of scientific and technological talents and the lack of R&D funds in enterprises,the other is that the per capita GDP and the rate of industrial value added in China is relatively low.