“双一流”高校科研成果质量研究——基于K-Means聚类和Logistic回归分析

Research on the Quality of Scientific Research Achievements of“Double First-Class”Universities in China:Based on K-Means Clustering and Logistic Regression Analysis

为提高我国科研实力、引导高校内涵式发展,文章运用K-Means聚类方法研究我国"双一流"高校整体的科研成果质量水平,并建立Logistic模型探究科研资源投入的有效性。研究发现,我国"双一流"高校的整体科研成果质量水平呈金字塔形结构,杰出人才的培养、基础设施的投入、团队合作力和科研队伍建设可促进高校科研成果质量的提升,地区经济实力与科研成果质量无显著关系。该研究结果为"双一流"高校科研工作的发展提供了新思路和新方向。

In order to improve China’s scientific research strength and guide the connotative development of universities,the paper employs K-Means clustering method to study the overall quality level of scientific research achievements of“double first-class”universities in China,and builds logistic model to explore the effectiveness of scientific research resources input.It is found that the overall quality level of scientific research achievements of“double first-class”universities in China presents a pyramid structure.Outstanding talents cultivation,infrastructure investment,teamwork ability as well as scientific research team construction could promote the improvement of the quality of scientific research results.The regional economic strength has no significant relationship with the quality of scientific research results.The research results provide new ideas and directions for the development of scientific research work in“double first-class”universities in China.