Paper Info
Title
An efficiency analysis of higher education institutions in China from a regional perspective considering the external environmental impact
Abstract
Higher education plays a significant role in economic growth and social development. However, the uneven development of higher education in China has become an important factor restricting its overall progress. Traditional data envelopment analysis (DEA) models used by previous studies are deterministic and susceptible to the impacts of measurement errors and the omission of unobserved but potentially relevant variables, which we referred to as environmental variables latter. To address both of these drawbacks, we develop and implement a three-stage DEA model to examine the efficiency of China’s mainland 31 provinces’ Higher Education Institutions (HEIs) in 2016, which fills the gap in the efficiency evaluation of HEIs in all provinces of China. The “real” efficiency about management performance of each province’s HEIs is obtained and decomposed after the impacts of environmental variables and random errors are eliminated. Lastly, relevant policy suggestions are given on how to improve the efficiency of each province’s HEIs.
Year
DOI
Venue
2020
10.1007/s11192-019-03296-5
Scientometrics
Keywords
Field
DocType
Higher education institutions, Three-stage DEA, Efficiency, China
Random error,Data mining,Environmental impact assessment,Computer science,Mainland,China,Data envelopment analysis,Social change,Higher education,Environmental economics
Journal
Volume
Issue
ISSN
122
1
0138-9130
Citations 
PageRank 
References 
1
0.35
0
Authors
4
Name
Order
Citations
PageRank
Jie Wu140936.02
Ganggang Zhang210.35
Qingyuan Zhu310.35
Zhixiang Zhou410.35