![]() |
个人信息Personal Information
研究员
博士生导师
硕士生导师
主要任职:总会计师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:学校党政办公室
电子邮箱:fbj066@dlut.edu.cn
Technical Inefficiency Factor Analysis Model Based on Multiple Non-negative Random Variables A Case Study of China's General Universities
点击次数:
论文类型:会议论文
发表时间:2017-01-01
收录刊物:CPCI-SSH
页面范围:311-319
关键字:multiple non-negative random variables; technical efficiency evaluation; multi-factor analysis model
摘要:Through further decomposing structure of residual in production function and exploring multiple structure of stochastic frontier, this paper proposes an analysis model of technical efficiency influence factors based on multiple non-negative random variables stochastic frontier analysis (MRV-SFA). In order to ensure the feasibility and validity of the model, it uses a panel data set of 75 China's general universities from 2005 to 2010 to examine the designed models. The theoretical importance ranking of influence factors and efficiency evaluation results are consistent with the existing research conclusion and practice.