Technical Inefficiency Factor Analysis Model Based on Multiple Non-negative Random Variables A Case Study of Chinas General Universities

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 Chinas 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.

关键词： multiple non-negative random variables technical efficiency evaluation multi-factor analysis model

作者: FENG Baojun SHEN Jiakun ZHANG Wenlong

作者单位: Faculty of Management and Economics, Dalian University of Technology, Dalian, China, 116024

会议类型: 国际会议

会议名称: The 9th (2017)International Conference on Financial Risk and Corporate Finance Management(第九届(2017)金融风险与公司金融国际研讨会)

会议地点: 日本

会议语种:英文

页码: 311-319

在线出版日期: 2017-07-01（万方平台首次上网日期，不代表论文的发表时间）