CAJ | 학술논문

运用DEA模型测度我国各地区高等教育资源配置的Malmquist指数及其分解情况,发现自1998年以来我国高等教育资源配置效率不断优化,呈增长态势,其增长原因主要源于技术效率提升和技术进步的双重影响,其中北京、天津和上海等16省（市、区）提升原因主要是技术效率和技术进步共同起作用的结果,而江苏、浙江、安徽、新疆等15省（市、区）提升的原因主要是源于技术的进步。基于DEA模型测度的实证结果,我国高等教育发展需进一步增加教育资源投入和优化资源的配置结构。
운용DEA모형측도아국각지구고등교육자원배치적Malmquist지수급기분해정황,발현자1998년이래아국고등교육자원배치효솔불단우화,정증장태세,기증장원인주요원우기술효솔제승화기술진보적쌍중영향,기중북경、천진화상해등16성（시、구）제승원인주요시기술효솔화기술진보공동기작용적결과,이강소、절강、안휘、신강등15성（시、구）제승적원인주요시원우기술적진보。기우DEA모형측도적실증결과,아국고등교육발전수진일보증가교육자원투입화우화자원적배치결구。
This paper uses DEA model to measure the Malmquist index of regional higher education resource allocation and their decomposition. It is found that the efficiency of resource allocation of China＇s higher education has been constantly optimized since 1998. The growth of Higher Education Resources Efficiency in China is both influenced by technical efficiency improvement and technical progress. 16 municipalities and provinces such as Beijing,Tianjin and Shanghai etc. are affected by the technological progress, and technical efficiency changes simultaneously. And for the other 15 provinces and municipalities including Jiangsu,Zhejiang and Anhui provinces etc. the technology progress has more effects on TFP growth or drop in higher education resources allocation. The empirical results of DEA model from the measurement indicate that the input of education resource allocation structure shall be further increased and the resources optimized for the development of higher education in China.