基于视窗分析模型的我国高校科研效率评价

科研管理 ›› 2013, Vol. ›› Issue (7): 101-111.

基于视窗分析模型的我国高校科研效率评价

陈浩^1,2, 王晓红¹, 张宝生¹

1. 哈尔滨工业大学管理学院, 黑龙江哈尔滨 150001;
2. 淮北师范大学管理学院, 安徽淮北 235000

收稿日期:2011-10-14 修回日期:2012-06-11 出版日期:2013-07-27 发布日期:2013-07-23
作者简介:陈浩(1979-),男(汉),安徽淮北人,哈尔滨工业大学管理学院博士研究生;淮北师范大学管理学院教师;研究方向:科研评价,科技管理。
王晓红(1968-),女(汉),黑龙江哈尔滨人,哈尔滨工业大学管理学院博士生导师,教授;研究方向:科技管理,科研评价。
基金资助:
教育部新世纪优秀人才支持计划(编号:NCET-07-0241);黑龙江省青年科学技术专项资金资助(合同编号:QC05C76)。

The evaluation on scientific research efficiency at universities of China based on window analysis model

Chen Hao^1,2, Wang Xiaohong¹, Zhang Baosheng¹

1. School of Management, Harbin Institute of Technology, Harbin 150001, China;
2. School of Management, Huaibei Normal University, Huaibei 235000, China

Received:2011-10-14 Revised:2012-06-11 Online:2013-07-27 Published:2013-07-23

摘要/Abstract

摘要： 本文分别取窗宽为1-5,应用视窗分析模型对我国各省市高校在2003-2007年的科研效率进行动态分析。通过比较不同窗宽的分析结果,发现随着窗宽的增加,我国各省市高校的TE和PE呈递减变化,SE呈无规律变化;科研效率在不同年份对窗宽的敏感程度不同;选择不同的窗宽会使得研究者对科研效率的长期变化趋势得出大相径庭的结论。对于"如何确定理想的窗宽",从理论上提出新的分析方法,研究确定理想的窗宽,建立适合于我国高校科研效率动态分析的更合理的视窗分析模型。与传统DEA模型的分析结果进行对比,发现两者之间存在很大的偏差。这进一步说明了建立理想窗宽的视窗分析模型,对我国高校科研效率进行动态分析是很有必要的,此视窗模型的分析结果更符合科研工作的实际情况。

关键词: 数据包络分析, 视窗分析模型, 科研效率, 窗宽

Abstract: By selecting window width from one to five, window analysis model is used to carry out a dynamic study on scientific research efficiencies at the universities in different provinces of China during the period of 2003-2007. By comparing the results of different window widths, Technical Efficiency (TE), and pure technical efficiency (PE) at the universities in different provinces of China are decrease and Scale Efficiency(SE) is irregularly varied with the increase of window widths. Scientific research efficiencies have different sensibility to the window width in different years. With the different selection of window widths, scholars would obtain radical different conclusions on the long term changing trend of TE, PE, and SE. For the problem how to determine the optimal window width, a new analysis method is thieoritacally proposed, the study determines the optimal window width, a more researnoable window analysis model that is suitable to the dynamic analysis on scientific research efficiencies at the universities of China is built. The dynamic results are compared with the results based on conventional DEA models, and great variances between two of them are found, it is further proved that setting up a window analysis model with an optimal window width to conduct a dynamic study is necessary and the results further accord with the reality of scientific research activities.

Key words: data envelopment analysis, window analysis model, scientific research efficiency, window width

中图分类号:

G311

陈浩, 王晓红, 张宝生. 基于视窗分析模型的我国高校科研效率评价[J]. 科研管理, 2013, (7): 101-111.

Chen Hao, Wang Xiaohong, Zhang Baosheng. The evaluation on scientific research efficiency at universities of China based on window analysis model[J]. Science Research Management, 2013, (7): 101-111.

参考文献

[1] 侯启娉.基于DEA的研究型高校科研绩效评价应用研究[J].研究与发展管理, 2005, 17(1):118-123. [2] 陆根书,刘蕾.不同地区教育部直属高校科研效率比较研究[J].复旦教育论坛, 2006, 4(2):55-59. [3] 段永瑞,霍佳震.基于数据包络分析的高校科研绩效评价[J].上海交通大学学报, 2007,41(7):1074-1077. [4] 周静,王立杰,石晓军.我国不同地区高校科技创新的制度效率与规模效率研究[J].研究与发展管理, 2005,17(1):109-117. [5] 孙世敏,项华录,兰博.基于DEA的我国地区高校科研投入产出效率分析[J].科学学与科学技术管理, 2007(7):18-21. [6] 刘海燕.中国各地区高等教育资源配置的DEA聚类分析研究[J].求索, 2007(8):117-119. [7] 徐娟.我国各省高校科研投入产出相对效率评价研究—基于数据包络分析方法[J].清华大学教育研究, 2009, 30(2):76-80. [8] 张垒,唐恒.基于DEA的高校知识产权投入产出效率评析[J].高等教育研究, 2010, 27(1):1-5. [9] 戚湧,李千目,王艳.一种基于DEA的高校科研绩效评价方法[J].科学学与科学技术管理, 2008(12):178-182. [10] 张海燕,陈士俊,王梅,李鑫. 2002-2005年间我国不同地区高校科技创新效率比较研究[J].科技进步与对策, 2007, 24(11): 109-114. [11] 赵强强,陈洪转,俞斌.利用截面数据对地域高校科研经费使用效率的评价[J].科学学与科学技术管理, 2009(9): 119-123. [12] 李瑛,高燕楠.我国高校科技创新效率的实证研究[J].求索, 2011(1): 177-179. [13] A. Charnes, W. W. Cooper, and E. L. Rhodes. Measuring the efficiency of decision making units[J].European Journal of Operational Research, 1978,2(6): 429-444. [14] R. D. Banker, A. Charnes, and W. W. Cooper. Some models for estimating technical and scale inefficiencies in data envelopment analysis[J].Management Science. 1984(30): 1078-1092. [15] N. K. Avkiran, and B. R. Parker. Pushing the DEA research envelope [J]. Socio-Economic Planning Sciences, 2010, 44(1):1-7. [16] A. Charnes, C. T. Clark, W. W. Cooper et al. A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in U.S. Air Forces[J].Annals of Operation Research, 1985(2):95-112. [17] W. W. Cooper, S. L. Seiford, and K. Tone. Introduction to Data Envelopment Analysis and its uses [M]. Springer Science, 2006:351. [18] W. W. Cooper, L. M. Seiford, and K. Tone. Data Envelopment Analysis- A comprehensive text with models, applications, references and DEA-solver software (Second Edition)[M]. Springer Science, 2007: 326-328. [19] T. Sueyoshi. Comparisons and analyses of managerial efficiency and returns to scale of telecommunication enterprises by using DEA/Window [J]. Communications of the Operations Research Society of Japan, 1992, 37:210-219. [20] 王兴芬, 吴涛,吕绘,李一军,冯英浚.利用统计数据评价高校科研管理的定量方法研究[J].研究与发展管理, 2004,16(5):107-112. [21] 王晓红,陈浩. 1999-2006年我国各省市高校科研效率的实证研究[J].科研管理, 2011, 32(4): 94-101,135. [22] A. Charnes, C. Clarke, W. W. Cooper, and B. Golany. A development study of DEA in measuring the effect of maintenance units in the U.S. air forces [J]. Annals of Operations Research, 1985, 2(1):95-112. [23] Kevin Cullinane, D. W. Song, P. Ji, and T. F. Wang. An application of DEA windows analysis to container port production efficiency [J]. Review of Network Economics, 2004, 3(2):184-206. [24] 谢友才,张红辉.区域科技投入产出效率的DEA视窗分析[J].研究与发展管理, 2007,19(3):85-92. [25] Henry Tulkens, and Philippe Vanden Eeckaut. Non-parametric efficiency, progress and regress measures for panel data: Methodological aspects [J]. European Journal of Operational Research, 1995, 80: 474-499.