摘要
基于中国内地2006—2020年31个地区高等教育的投入与产出数据,利用BCC和DEA-Malmquist评价模型分析投入产出效率,并对时序Malmquist数据进行EMD分解,以分析指数的长期变化趋势。其结果发现:(1)以广东、上海、浙江为代表的经济和人口大省在高等教育DEA效率上表现较为突出,而处于DEA无效的地区原因各不相同;(2)通过对时序Malmquist指数的EMD分析结果表明,我国31个地区高等教育的纯技术效率不断提升、技术进步指数和全要素生产率指数在2013年前后到触底后持续上升、规模效率指数不断下降。此研究结果有助于明确我国高等教育的发展趋势,更有针对性地制定高等教育发展策略。
Based on the input and output data of higher education in 31 regions of Chinese Mainland from 2006 to 2020,the BCC and DEA Malmquist evaluation models are used to analyze the input-output efficiency,and the time-series Malmquist data are decomposed by EMD to analyze the long-term trend of the index.The results show that:(1) Guangdong,Shanghai and Zhejiang provinces those with large economy and population have outstanding performance in the efficiency of higher education DEA,and those who are DEA inefficient have different reasons.(2) The EMD decomposition results of the time series Malmquist index show that the pure technical efficiency of higher education in 31 regions in China has been continuously improved,the technical progress index and the total factor productivity index have continued to rise from around 2013 to the bottom,and the scale efficiency index has continued to decline.The result is useful in clarifying the trends and designing better strategies for higher education.
作者
刘蕾
鄢章华
LIU Lei;YAN Zhanghua(Taizhou University,Taizhou,Jiangsu 225300,China;Harbin Commerce University,Harbin,Heilongjiang 150025,China)
出处
《现代教育科学》
2023年第3期49-54,共6页
Modern Education Science
基金
泰州学院高等教育教学改革研究课题“应用型本科高校产教融合协同育人机制研究”(项目编号:2019JGC08)。
