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中国“211”高校科研效率评价和外部影响因素分析——基于Bootstrap-DEA方法的实证研究     被引量:11

Evaluation of Scientific Research Efficiency of Project 211 Universities and Environmental Factors Analysis----Empirical Research Based on Bootstrap-DEA Method

文献类型:期刊文献

中文题名:中国“211”高校科研效率评价和外部影响因素分析——基于Bootstrap-DEA方法的实证研究

英文题名:Evaluation of Scientific Research Efficiency of Project 211 Universities and Environmental Factors Analysis----Empirical Research Based on Bootstrap-DEA Method

作者:叶刘刚[1];白福臣[1]

机构:[1]广东海洋大学经济管理学院,广东湛江524088

年份:2015

卷号:18

期号:4

起止页码:6

中文期刊名:高等财经教育研究

外文期刊名:Journal of Higher Education Finance

收录:国家哲学社会科学学术期刊数据库

基金:广东海洋大学基金项目(GDOU2015050252)

语种:中文

中文关键词:高校科研效率;Bootstrap—DEA;效率评价;两阶段DEA;环境变量

外文关键词:scientific research efficiency of university; Bootstrap-DEA; efficiency assessment; two-stage DEA; environment variable

中文摘要:运用Bootstrap-DEA方法分析了中国101所"211"高校在2005-2012年间的科研效率,并采用两阶段DEA方法考察了外部环境因素的影响。研究发现:(1)Bootstrap的统计推断结果表明,运用传统的DEA方法进行效率比较时需谨慎,因为观测到的差异在统计上可能不显著;(2)高校存在较严重的科研无效率情况(2012年约为35.6%),但科研效率在样本期内提高了35.9%;(3)当高校规模达到一定程度(接近5000人)以后,规模的进一步扩大会带来显著的规模不经济问题;(4)外部环境因素如学校性质、举办者、所在地区和地方经济发展水平等对科研效率有显著影响。

外文摘要:This study uses data envelopment analysis (DEA) combined with Bootstrap to examine the relative efficiency in the production of research of 101 Chinese project 211 universities between 2005 and 2012, and estimates the average impact of external factors through a second-stage parametric regression analysis. Results reveal: (i) using Bootstrap to make statistical inferences suggests that researchers should be careful in making performance comparisons based on conventional DEA methods, as any discovered differences may not be significant; (ii) a significant degree of inefficiency (approximately 35.6% in 2012) and an efficiency progress of 35.9%over the period considered;(iii) When university staff reaches a certain number(approximately 5,000), further expansion will bring significant diseconomies of scale;(iv) environmental factors, such as school nature, organizer, region and local economic development impact on research efficiency significantly.

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