An Empirical Study on the Development Efficiency and Influencing Factors - of Higher Education in China: Based on the ultra-efficient SBM-Malmquist-Tobit model

Yu Cao; Fangrui Li; Zijia Li

doi:10.54097/ehss.v23i.13114

Authors

Yu Cao
Fangrui Li
Zijia Li

DOI:

https://doi.org/10.54097/ehss.v23i.13114

Keywords:

Higher education, development efficiency, Ultra-efficient SBM-Malmquist-Tobit model, Educational balance.

Abstract

It is of great significance to scientifically evaluate the development efficiency of higher education in China to promote the balanced development of higher education in various regions. Based on the panel data of 31 provinces, municipalities and autonomous regions in China from 2012 to 2021, this study analyzes the development efficiency of higher education in China by using the ultra-efficient SBM-Malmquist model, and then constructs the higher education evaluation index system from the three dimensions of educational resources, educational effectiveness and educational opportunities, and uses the panel Tobit model to regress, the results show that the overall development efficiency of higher education in China has not yet reached the optimal level, and is greatly affected by the efficiency of technological progress. There may be problems with higher education development in places such as Inner Mongolia, Jiangxi and Hainan; The number of full-time teachers with doctoral degrees, the number of graduate students involved in scientific research, and the number of enrollments of their specialties in various regions affect the development efficiency of higher education in different places. Finally, this study puts forward corresponding policy recommendations according to the conclusions.

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References

Chu Xiaoyu. Comparison of educational development thinking between the report of the 19th National Congress and the report of the 18th National Congress[J]. Journal of Tianshui Institute of Administration,2018,19(03):30-33.)

SUN Miantao,WU Tingyan. Structural analysis of major deployment framework for education in the report of the 20th National Congress of the Communist Party of China[J]. Teaching and Management,2023(04):1-4.)

CHEN Yue. Journal of Wuhan University of Science and Technology (Social Science Edition),2017,19(01):55-60.)

XU Jian,WANG Xuhui. Efficiency Evaluation of Regional Higher Education in China: An Empirical Analysis Based on DEA Model[J]. Research on Higher Engineering Education,2009(4):81-85.

LI Xiangyun. Evaluation of the efficiency of input and output of colleges and universities in China[J]. Higher Education Research,2011(5):49-55.

ZHAO Yanzhi. Productivity growth, technological progress and efficiency change of higher education in China[J]. Journal of Finance and Economics, 2011,No.331(06):20-26.)

WEI Mei. Regional Differences in Higher Education Efficiency Growth Rate and Its Influencing Factors in China: An Empirical Study Based on Spatial Econometric Model[J].Educational Research of Tsinghua University,2012,33(04):97-102.)

Yonghui, Han Qingfeng. Research on the efficiency of higher education in China based on Hicks-Moorsteen index[J]. Modern Education Management,2017(08):42-46.)

YI Ming,PENG Jiachao,ZHANG Yao. Comprehensive evaluation of input-output efficiency of higher education in China:Based on Window-Malmquist index method[J].Chinese Journal of Management Science,2019(12):32-42.)

ZHOU Xiaogang, LIN Rui, CHEN Xiao, et al. Research on input-output efficiency evaluation of higher education in China under system thinking:Empirical evidence based on three-stage DEA and super-efficient DEA[J].Journal of Systems Science,2022,30(04):58-62.)

Raleigh Qun, Gao Wanyu. Research on the development efficiency and influencing factors of higher education in China[J].Yunnan Science and Technology Management,2022,35(01):18-26.)

LIU Lei,YAN Zhanghua,YANG Guilan. Analysis of the efficiency of higher education in China——Based on the panel data of 31 regions[J]. Continuing Education Research,2023,No.282(02):92-97.)

Bu Wei, Chen Junbing. Research on resource allocation efficiency of higher education in China:Based on DEA-Malmquist model[J].Journal of Changzhou Institute of Technology,2022,35(06):77-84.)

Cai Wenbo, Huang Jinsheng. Research on the allocation efficiency of China's higher education resources from the perspective of high-quality development[J].Heilongjiang Studies of Higher Education,2019,37(08):79-84.)

ZHAO Heng,SHAO Binbin,GAO Cangjian. Analysis on the dilemma and countermeasures faced by college graduates in the post-epidemic period[J].Journal of Party School of Taiyuan Municipal Committee of CPC,2020(04):70-71.)

CHARNES A, COOPER W W,RHODES E. Measuring the efficiency of decision making units[J]. European Journal of Operational Research,1978,2(6):429-444.

JIANG Huaiyin, HE Gang, RUNE Yiwen, ZHANG Shiyu, ZHENG Zhiwei. Research on low-carbon economic efficiency in Anhui Province based on DEA-SBM model[J].Journal of Hebei Institute of Environmental Engineering,2023,33(01):9-15.)

Chung Y H,Fare R, Grosskopf S.Productivity and undesirable outputs: a directional distance function approach [J]. journal of Environmental Management,1997, 51(3):229-240.

WANG Yu,FENG Jianghua. Measurement and analysis of provincial green development efficiency in China——Based on ultra-efficient SBM-Malmquist model[J].Journal of Heilongjiang Ecological Engineering Vocational College,2023,36(03):7-12.)

Ge Min. Evaluation of agricultural ecological efficiency and analysis of influencing factors in Shandong Province[D].Qingdao:Qingdao University,2020.

LAI Yifei, XIE Panjia, YE Liting, et al. Research on evaluation and influencing factors of regional scientific and technological innovation efficiency in China——Based on ultra-efficient SBM-Malmquist-Tobit model[J].Science and Technology Progress and Countermeasures,2021,38(13):37-45.)

HUANG Haijun, SUN Jihong. Research on the evaluation of the comprehensive development level of provincial higher education in China[J].Contemporary Education Science,2018(10):63-68.)

LI Dexian, FANG Lei, SU Ruoju. Research on the evaluation of comprehensive development level and equilibrium degree of higher education in China——Analysis based on PLS structural equation model[J].Modern Education Management,2021(04):61-74.)

ZHANG Nanxing, HUANG Haijun, SUN Jihong, et al. Multidimensional evaluation of undergraduate education from the dual perspective of university teachers and students:An empirical analysis based on the national higher education satisfaction survey[J].China Studies of Higher Education,2019(07):70-77+103.)