基于数据包络分析的我国教育部直属高校科研效率评价研究

发布时间：2018-06-09 01:25

本文选题：数据包络分析(DEA) + 高校科研评价　；参考：《华东师范大学》2012年硕士论文

【摘要】：高等院校的科学研究是国家创新体系的重要组成部分,随着国家不断大幅增加经费投入,如何保证按时完成预期的科研目标,如何保证科研成果的高质量、科研投入的高效益受到了社会各界的广泛关注。尤其是教育部直属高校,作为我国高校科学研究的中坚力量,占据着大部分优势资源,其科研效率成为社会关注的热点。由于高校科研活动是一个多投入、多产出的复杂系统,而数据包络分析(DEA)方法不需预估权重、不需预设生产函数的具体形式,在涉及多指标投入和多指标产出的综合评价方面具有独特优势,这是其他方法所不具备的。因此本文将使用DEA方法通过构建能够体现评价者价值导向的多层次分类DEA模型,对教育部直属高校的科研效率展开相对客观、公正的评价。论文首先将介绍相关背景以及基本概念；接着介绍数据包络分析方法的基本思想与主要模型,并对相关研究文献进行梳理,总结现有文献研究的成果与不足之处；然后通过分析高校科研活动的特点,结合数据可获得性,构建评价的投入产出指标体系；在此基础上综合考虑现有DEA模型的不足,建立多层次分类DEA模型；运用不同的DEA模型结合教育部直属高校科研的相关数据进行实证分析,包括以年份为评价单元的动态分析和以高校为评价单元的静态分析；并根据分析结果提出结论；最后提出总结与展望。本文的创新之处包括以下两方面：第一,考虑到不同类型的学科之间在投入产出指标上存在着较大的差异,在构建评价指标体系时将指标分为自然科学和人文社会科学两个类别。第二,结合评价指标体系的特点,构建出多层次分类DEA模型,能够计算出高校不同学科类别各自的科研效率
[Abstract]:The scientific research of colleges and universities is an important part of the national innovation system. With the country increasing the investment in a large scale, how to ensure the expected scientific research objectives are completed on time, and how to ensure the high quality of the scientific research results. The high benefit of scientific research investment has received extensive attention from all walks of life. Especially the universities directly under the Ministry of Education, as the backbone of scientific research in colleges and universities in China, occupy most of the superior resources, and their scientific research efficiency has become a hot spot of social concern. Because the scientific research activities in colleges and universities are a complex system with multiple inputs and outputs, the data Envelopment Analysis (DEAA) method does not need to estimate the weight, and does not need to preset the concrete form of the production function. It has unique advantages in comprehensive evaluation involving multiple index inputs and multi-index outputs, which is not available in other methods. Therefore, this paper will use DEA method to construct a multi-level classification DEA model which can reflect the value orientation of evaluators, and to launch a relatively objective approach to the scientific research efficiency of colleges directly under the Ministry of Education. The paper first introduces the relevant background and basic concepts, then introduces the basic ideas and main models of data envelopment analysis method, and combs the relevant research literature, summarizes the achievements and shortcomings of the existing literature research; Then, by analyzing the characteristics of scientific research activities in colleges and universities, combining with the availability of data, the index system of input-output evaluation is constructed, and on this basis, the insufficiency of existing DEA models is considered synthetically, and a multi-level classified DEA model is established. Using different DEA models combined with relevant data of scientific research in colleges and universities directly under the Ministry of Education to carry out empirical analysis, including dynamic analysis based on year as evaluation unit and static analysis of university as evaluation unit, and the conclusion is put forward according to the analysis results. Finally, the conclusion and prospect are put forward. The innovations of this paper include the following two aspects: first, considering that there are great differences in input-output indicators among different types of disciplines, When constructing the evaluation index system, the indicators are divided into natural science and humanities and social sciences. Secondly, combining the characteristics of the evaluation index system, a multi-level classification DEA model is constructed. Be able to calculate the scientific research efficiency of different disciplines in colleges and universities
【学位授予单位】：华东师范大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：G647

【参考文献】