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基于RAGA-PPC模型的高等院校科研经费绩效评价分析 被引量:3

Performance Evaluation of Scientific Research Funds in Colleges and Universities Based on RAGA-PPC Model
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摘要 随着我国高等教育的快速发展,高等院校科研经费投入日益增长,提升科研经费绩效水平对于促进科研事业发展以及优化高等院校科研经费管理具有积极意义。文章从科研投入、运行和产出等三个方面构建高等院校科研经费绩效评价指标体系,运用基于实数编码的加速遗传算法的投影寻踪聚类模型(RAGA-PPC),对江苏省36所高等院校2012-2017年的科研经费绩效水平进行综合评价,利用最佳投影方向确定不同指标的权重,分析了高等院校科研绩效的主要影响因素并提出了相应的对策建议。研究发现"双一流"重点高等院校的科研经费绩效水平优于普通高等院校,以东南大学、南京大学、苏州大学、南京航空航天大学、南京理工大学最为显著。科研绩效的关键影响因素主要包括科技课题拨入经费、科研经费支出总额、论文发表总量、课题投入人数、科研经费投入总额等三级指标。二级指标中论文产出、科研经费支出、科研经费投入是主要影响因素。文章丰富了科研经费绩效的研究案例与方法,为高等院校科研经费绩效评价提供借鉴。 With the rapid development of higher education in China, the investment of scientific research funds in colleges and universities is increasing day by day. To improve the performance level of scientific research funds is of positive significance to promote the development of scientific research and optimize the management of scientific research. This paper constructs the performance evaluation index system of university scientific research funds from three aspects of scientific research input, operation and output. The performance of scientific research funds of 36 universities in Jiangsu Province in 2012-2017 was evaluated by using the real coding accelerated genetic algorithm projection pursuit clustering model(RAGA-PPC). Using the best projection direction to determine the weight of different indicators, this paper analyzes the main influencing factors of university scientific research performance and puts forward corresponding countermeasures and suggestions. It is found that the performance level of scientific research funds of “double first-class” key universities is better than that of ordinary universities, especially Southeast University, Nanjing University, Suzhou University, Nanjing University of Aeronautics and Astronautics and Nanjing University of technology. The key influencing factors of the three-level indicators on the level of scientific research performance mainly include the allocation of funds for scientific research projects, the total expenditure of scientific research funds, the total amount of papers published, the number of subjects invested, the total amount of scientific research funds invested, etc. Among the secondary indicators, the output of papers, expenditure of scientific research funds and investment of scientific research funds are the main influencing factors. This paper enriches the research cases and methods of the performance of scientific research funds, and provides reference for the performance evaluation of scientific research funds in Colleges and universities.
作者 孙会荟 曹广喜 高升 毛依婷 SUN Hui-hui;CAO Guang-xi;GAO Sheng;MAO Yi-ting(Nanjing Audit University,Nanjing 211815,China;Nanjing University of Information Science and Technology,Nanjing 210044,China)
出处 《黑龙江高教研究》 北大核心 2022年第1期38-43,共6页 Heilongjiang Researches on Higher Education
基金 2019年江苏省高校人文社会科学研究项目“高等院校学生教育管理绩效评价研究”(编号:2019SJB094) 2017年江苏省高校哲学社会科学研究项目“科研管理放管服背景下科研经费管理新机制新举措研究”(编号:2017SJA025) 2017年江苏省社科应用研究精品工程财经发展专项课题“高校科研支出绩效评价体系构建与应用研究”(编号:17SCB-14)。
关键词 科研经费 绩效评价 遗传算法 投影寻踪 scientific research funds performance evaluation genetic algorithm projection pursuit
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