A Statistical Analysis on Environmental Factors Affecting Education Efficiency of China’s 4-year Universities
- 10.2991/essaeme-18.2018.46How to use a DOI?
- Education efficiency, Data Envelopment Analysis (DEA), Environmental factors, Government’s support policies
This study deals with the statistical analysis for checking significance of environmental factors impacting on the education efficiency of the 80 universities in China. As a result of some previous studies and statistical consideration, we adopted a Data Envelopment Analysis (DEA) model to perform the relevant analysis and assumed that there exist 4 major environmental factors including government’s support policies, density of university, economic development of the city, and city rating level. The results of statistical analysis reveal that both factors of the total number of universities in city and the city’s class show the highly significant impacts on education efficiency of the China’s universities, and also the factor of economic development of the city proves its proper statistical significance. However, the factor of government’s support policies turns out little impact on education efficiency statistically. Judging from these results of case analysis, the Chinese government is recommended to redress its policies of financial support to universities. The detailed study results will be provided in the main paper.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Guanghong Zhang AU - Weonjae Kim PY - 2018/07 DA - 2018/07 TI - A Statistical Analysis on Environmental Factors Affecting Education Efficiency of China’s 4-year Universities BT - Proceedings of the 2018 4th International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2018) PB - Atlantis Press SP - 243 EP - 248 SN - 2352-5398 UR - https://doi.org/10.2991/essaeme-18.2018.46 DO - 10.2991/essaeme-18.2018.46 ID - Zhang2018/07 ER -