||In recent years, domestic high education institutions encounter the difficulty of decrease in numbers of enrolling students and increase in number of schools, which is resulted from the trend of less newborn children and more loosing governmental policy by Ministry of Education. In such environments, the private schools encounter high pressure of seeking sufficient enrolling students and more competition among schools. Therefore, management of private schools should focus on increasing efficiency of operating organization so private schools can be developed with more competition in the future. How to operate and allocate available resources and to achieve educational goals become the most important topics for school management.|
Schools are Non-Profit Organization and this thesis is intended to evaluate the relative efficiency of faculties of colleges or universities with Data Envelopment Analysis（DEA）, which is popular methods for researches regarding Non-Profit Organization. It includes the CCR model and BCC model and selects 4 input items and 3 output items as evaluation indicators. The thesis employed the DEA model in the case study to evaluate the Overall Efficiency, Pure Technical Efficiency and Scale Efficiency of school faculties and performed slack variable analysis to inefficient faculties to obtain inefficiency reasons and provide further improvements.
The case study in this thesis was performed with efficiency evaluation on 19 faculties of certain medical university based on the information of fiscal year of 2008. The results were as below:
In the case study, 7 faculties are relatively inefficient, representing 37% of population. This means that over 1/3 of total population is inefficient.
2.Pure Technical Efficiency:
In the case study, 3 faculties have no pure technical efficiency, representing 16% of population. The negative result is less than overall efficiency, which implies that the inefficiency may be caused by scale inefficiency.
In the case study, 7 faculties have no scale efficiency, representing 37% of population. Such faculties need to adjust their scales to reach the overall efficiency.
This thesis also provided the improvement suggestions for inefficient faculties and operation strategies for management.