基于DEA视窗分析的教育部直属72所高校办学效率研究
|
摘要
科学、准确衡量人才培养和科学研究质量,一直是高校办学活动评价的难点之一。本文构建反映人才培养质量和科研国际化水平及影响力的指标体系,采用输出导向权重约束BCC视窗分析模型,测算2009-2015年教育部直属72所高校办学效率。结果显示:72所高校平均办学效率为0.766,还有较大提升空间。总体来看:高校办学效率表现为小幅波动后的明显上升趋势;东部高校平均办学效率最高,中部次之,西部最低;综合类高校平均办学效率最高,工科类其次,专业类最低。科研成果质量及国际化影响力较高是东部和综合类高校表现最优的主要原因。
Measuring the quality of talent cultivation and scientific research scientifically and accurately is always one of the difficulties of evaluating the activities of Higher Educational Institutions(HEIs).Constructing index system reflecting the quality of talent cultivation and the international level and influence of scientific research,the output-oriented weight restricted BCC window analysis model is used to measure the running efficiencies of 72 HEIs Directly under Ministry of Education in 2009-2015.The results reveal that the average running efficiency of 72 HEIs is 0.766.There is a large space for improvement of running efficiency and a significant difference between different HEIs.On a whole,the running efficiency of HEIs manifests a obviously rising trend after a fluctuation within a narrow range.The average running efficiency of HEIs located in eastern region is highest,the central is second and the western is third.The average running efficiency of comprehensive HEIs is highest,the engineering is second,the specialist is third.The quality and international influence of scientific research achievements mainly result in the best performance of eastern and comprehensive HEIs.
Measuring the quality of talent cultivation and scientific research scientifically and accurately is always one of the difficulties of evaluating the activities of Higher Educational Institutions(HEIs).Constructing index system reflecting the quality of talent cultivation and the international level and influence of scientific research,the output-oriented weight restricted BCC window analysis model is used to measure the running efficiencies of 72 HEIs Directly under Ministry of Education in 2009-2015.The results reveal that the average running efficiency of 72 HEIs is 0.766.There is a large space for improvement of running efficiency and a significant difference between different HEIs.On a whole,the running efficiency of HEIs manifests a obviously rising trend after a fluctuation within a narrow range.The average running efficiency of HEIs located in eastern region is highest,the central is second and the western is third.The average running efficiency of comprehensive HEIs is highest,the engineering is second,the specialist is third.The quality and international influence of scientific research achievements mainly result in the best performance of eastern and comprehensive HEIs.
引文
[1]赵晓阳,刘金兰.基于DEA视窗分析的高校科研投入产出效率动态评价[J].西安电子科技大学学报(社会科学版),2013,(2):132-138.
[2]Ng Y C,Li S K.Efficiency and productivity growth in Chinese universities during the post-reform period[J].China economic review,2009,20(2):183-192.
[3]尹伟华,袁卫.基于Bootstrap-DEA方法的中国教育部直属高校科研效率评价[J].统计与信息论坛,2013,28(6):61-69.
[4]姜彤彤.“985”高校科研效率测算及区域差异对比[J].高等工程教育研究,2014,(4):35-40.
[5]Worthington A C,Lee B L.Efficiency,technology and productivity change in Australian universities,1998-2003[J].Economics of education review,2008,27(3):285-298.
[6]Johnes J,Li Y U.Measuring the research performance of Chinese higher education institutions using data envelopment analysis[J].China economic review,2008,19(4):679-696.
[7]梁文艳,唐一鹏.高校人文社科科研生产效率区域比较研究一基于Malmquist指数的动态评估[J].重庆高教研究,2014,2(2):21-27.
[8]李清贤,曲绍卫,齐书宇.教育部直属高校教师科技创新效率研究一基于2007-2011年Malmquist指数法的动态分析[J].高等工程教育研究,2014,(3):3-29.
[9]张惠琴,尚甜甜.高校科研创新效率对比分析一基于全国30个省份的面板数据[J].科研管理,2015,(s1):181-186.
[10]任巧明,张超.省属211工程高校科研发展水平差距的实证研究[J].现代教育管理,2015,(5):71-78.
[11]Lee B L,Worthington A C.A network DEA quantity and quality-orientated production model:An application to Australian university research services[J].Omega,2016,60:26-33.
[12]Rhaiem M.Measurement and determinants of academic research efficiency:A systematic review of the evidence[J].Scientometrics,2017,110(2):1-35.
[13]张晓秋,李华,蒋华林.部属高校人才培养效率综合评价与影响因素分析[J].高等工程教育研究,2009,(3):132-137.
[14]Johnes J.Measuring teaching efficiency in higher education:An application of data envelopment analysis to economics graduates from UK Universities 1993[J].European journal of operational research,2006,174(1):443-456.
[15]Parteka A,Wolszczak-Derlacz J.Dynamics of productivity in higher education:Cross—european evidence based on bootstrapped Malmquist indices[J].Journal of productivity analysis,2013,40(1):67-82.
[16]袁卫,李沐雨,荣耀华.2011年教育音部直属72所高校办学效率研究一基于DEA模型[J].中国高教研究,2013,(11):1-7.
[17]荣耀华.教育部直属72所高校办学活动研究[J].中国科技论坛,2014,(6):141-146.
[18]刘建民,毛军.基于SBM模型的高等院校办学绩效评价研究一以教育部直属高校数据为例[J].高教探索,2015,(4):11—17.
[19]李红宇,曾孟夏,吕艳.高等教育资源利用效率与高校“985工程”实施绩效分析[J].中国高教研究,2014,(5):38-43.
[20]许长青.高等教育办学效益与成本控制:基于1996-2008年的DEA实证分析[J].黑龙江高教研究,2012,30(8):1—8.
[21]罗杭,郭珍.基于DEA超效率模型的中国985工程大学效率评价一整合中国大学评价和网大大学排行榜的改进模型[J].研究生教育研究,2011,(6):48-55.
[22]陈静漪.仲杰.宗晓华.研究型大学科研投入产出绩效动态评估一基于2004-2012校级面板数据的分析[J].教育科学,2016:52-58.
[23]王鹏.陈迅.马京伟.中国高校经费投入、研发规模与科研产出一基于双门限模型的分析[J].研究与发展管理,2016,(6):134-142.
[24]钟卫,姜万军.我国高校扩招后办学效率和生产率的变化[J].统计研究,2017,34(1):91-101.
[25]Papadimitriou M,Johnes J.Does merging improve efficiency? A study of English universities[J].Studies in higher education,2018,(2):1-21.
[26]Johnes G,Johnes J.Measuring the research performance of UK economics departments:An application of data envelopment analysis[J].Oxford economic papers,1993,45(2):332—347.
[27]Flegg A T,Allen D O,Field K,et al.Measuring the efficiency of British universities:A multi-period data envelopment analysis[J].Education economics,2004,12(3):231-249.
[28]Avkiran N K.Investigating technical and scale efficiencies of Australian universities through data envelopment analysis[J].Socio-economic planning sciences,2001,35(1):57-80.
[29]Charnes A,Clark C T,Cooper W W,et al.A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in t.he U.S.air forces[J].Annals of operations research,1984,2(1):95-112.
[30]陈召魁.高校R&D投入产出滞后性与相对效率评价研究[D].天津大学,2011.
[2]Ng Y C,Li S K.Efficiency and productivity growth in Chinese universities during the post-reform period[J].China economic review,2009,20(2):183-192.
[3]尹伟华,袁卫.基于Bootstrap-DEA方法的中国教育部直属高校科研效率评价[J].统计与信息论坛,2013,28(6):61-69.
[4]姜彤彤.“985”高校科研效率测算及区域差异对比[J].高等工程教育研究,2014,(4):35-40.
[5]Worthington A C,Lee B L.Efficiency,technology and productivity change in Australian universities,1998-2003[J].Economics of education review,2008,27(3):285-298.
[6]Johnes J,Li Y U.Measuring the research performance of Chinese higher education institutions using data envelopment analysis[J].China economic review,2008,19(4):679-696.
[7]梁文艳,唐一鹏.高校人文社科科研生产效率区域比较研究一基于Malmquist指数的动态评估[J].重庆高教研究,2014,2(2):21-27.
[8]李清贤,曲绍卫,齐书宇.教育部直属高校教师科技创新效率研究一基于2007-2011年Malmquist指数法的动态分析[J].高等工程教育研究,2014,(3):3-29.
[9]张惠琴,尚甜甜.高校科研创新效率对比分析一基于全国30个省份的面板数据[J].科研管理,2015,(s1):181-186.
[10]任巧明,张超.省属211工程高校科研发展水平差距的实证研究[J].现代教育管理,2015,(5):71-78.
[11]Lee B L,Worthington A C.A network DEA quantity and quality-orientated production model:An application to Australian university research services[J].Omega,2016,60:26-33.
[12]Rhaiem M.Measurement and determinants of academic research efficiency:A systematic review of the evidence[J].Scientometrics,2017,110(2):1-35.
[13]张晓秋,李华,蒋华林.部属高校人才培养效率综合评价与影响因素分析[J].高等工程教育研究,2009,(3):132-137.
[14]Johnes J.Measuring teaching efficiency in higher education:An application of data envelopment analysis to economics graduates from UK Universities 1993[J].European journal of operational research,2006,174(1):443-456.
[15]Parteka A,Wolszczak-Derlacz J.Dynamics of productivity in higher education:Cross—european evidence based on bootstrapped Malmquist indices[J].Journal of productivity analysis,2013,40(1):67-82.
[16]袁卫,李沐雨,荣耀华.2011年教育音部直属72所高校办学效率研究一基于DEA模型[J].中国高教研究,2013,(11):1-7.
[17]荣耀华.教育部直属72所高校办学活动研究[J].中国科技论坛,2014,(6):141-146.
[18]刘建民,毛军.基于SBM模型的高等院校办学绩效评价研究一以教育部直属高校数据为例[J].高教探索,2015,(4):11—17.
[19]李红宇,曾孟夏,吕艳.高等教育资源利用效率与高校“985工程”实施绩效分析[J].中国高教研究,2014,(5):38-43.
[20]许长青.高等教育办学效益与成本控制:基于1996-2008年的DEA实证分析[J].黑龙江高教研究,2012,30(8):1—8.
[21]罗杭,郭珍.基于DEA超效率模型的中国985工程大学效率评价一整合中国大学评价和网大大学排行榜的改进模型[J].研究生教育研究,2011,(6):48-55.
[22]陈静漪.仲杰.宗晓华.研究型大学科研投入产出绩效动态评估一基于2004-2012校级面板数据的分析[J].教育科学,2016:52-58.
[23]王鹏.陈迅.马京伟.中国高校经费投入、研发规模与科研产出一基于双门限模型的分析[J].研究与发展管理,2016,(6):134-142.
[24]钟卫,姜万军.我国高校扩招后办学效率和生产率的变化[J].统计研究,2017,34(1):91-101.
[25]Papadimitriou M,Johnes J.Does merging improve efficiency? A study of English universities[J].Studies in higher education,2018,(2):1-21.
[26]Johnes G,Johnes J.Measuring the research performance of UK economics departments:An application of data envelopment analysis[J].Oxford economic papers,1993,45(2):332—347.
[27]Flegg A T,Allen D O,Field K,et al.Measuring the efficiency of British universities:A multi-period data envelopment analysis[J].Education economics,2004,12(3):231-249.
[28]Avkiran N K.Investigating technical and scale efficiencies of Australian universities through data envelopment analysis[J].Socio-economic planning sciences,2001,35(1):57-80.
[29]Charnes A,Clark C T,Cooper W W,et al.A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in t.he U.S.air forces[J].Annals of operations research,1984,2(1):95-112.
[30]陈召魁.高校R&D投入产出滞后性与相对效率评价研究[D].天津大学,2011.