基于DEA方法的湖北省高等教育投入产出效率研究

发布时间：2018-05-24 03:19

本文选题：数据包络分析 + 高等教育效率　；参考：《华中科技大学》2013年硕士论文

【摘要】：随着经济的发展，高等教育在促进经济发展和社会进步中扮演着越来越重要的角色，国家把科教兴国和人才强国作为我国重要的战略方针。大学作为一个专业人才培养和输出的场所，承担着为国家和社会培养高素质人才的重任，其地位显得越来越重要。因此，高等教育效率的评价是一个越来越重要的话题。本文采用数据包络分析法（DEA）评价了湖北省九所重点大学的投入产出效率，分析了九所大学效率差异的原因，并提出了改进的建议。高校投入产出指标体系的确定是本研究的关键点。首先要建立投入产出指标体系。在投入指标选取上，从人力、财力、物力三方面考虑，在产出指标的选取上，从人才培养、科研成果两方面考虑，在这些一级指标下，又分设多个二级指标，运用聚类分析法将相似的二级指标合并且删除某些指标，留下关联度较低的指标。投入产出指标确定后，就需要确定各个指标的权重，本文采用的是层次分析法，这是一种赋权的常用方法。最后，建立数据包络分析模型。在对高校教育效率进行评价时，最常用的模型是CCR模型和BCC模型，在对高校内部资源配置效率进行评价时，选用BCC模型更为恰当，该模型评价的是部门间的相对技术有效性。本文采用BCC模型。本文通过对湖北省九所重点高校投入产出效率研究，，发现：效率相对较高的高校有：武汉大学、华中科技大学、中南民族大学、武汉科技大学。而效率相对较低的高校是：华中师范大学、中国地质大学（武汉）。其他高校则处于中间。
[Abstract]:With the development of economy, higher education plays a more and more important role in promoting economic development and social progress. As a place where professional talents are trained and exported, universities shoulder the important task of cultivating high quality talents for the country and society, and their status is becoming more and more important. Therefore, the evaluation of higher education efficiency is a more and more important topic. In this paper, the input-output efficiency of nine key universities in Hubei Province is evaluated by means of data Envelopment Analysis (DEAA). The reasons for the differences in efficiency of nine universities are analyzed, and suggestions for improvement are put forward. The determination of input-output index system is the key point of this study. First of all, it is necessary to establish an input-output index system. In the selection of input indicators, consider from three aspects of human, financial and material resources, in the selection of output indicators, from the talent training, scientific research results of two aspects, under these first-level indicators, and set up a number of secondary indicators. Cluster analysis is used to combine the similar secondary indexes and delete some indexes, leaving the indicators with low correlation degree. After the input-output index is determined, it is necessary to determine the weight of each index. This paper adopts the Analytic hierarchy process (AHP), which is a common method of weighting. Finally, the data envelope analysis model is established. When evaluating the efficiency of higher education, the most commonly used models are the CCR model and the BCC model. In the evaluation of the internal resource allocation efficiency, the BCC model is more appropriate, and the model evaluates the relative technical effectiveness of different departments. BCC model is used in this paper. By studying the input-output efficiency of nine key universities in Hubei province, this paper finds that the universities with relatively high efficiency are Wuhan University, Huazhong University of Science and Technology, Central South University of nationalities and Wuhan University of Science and Technology. The relatively inefficient universities are: central China normal University, China University of Geosciences (Wuhan). Other colleges and universities are in the middle.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：G649.2

【参考文献】