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Indexed by:会议论文

Date of Publication:2017-01-01

Included Journals:CPCI-SSH

Page Number:311-319

Key Words:multiple non-negative random variables; technical efficiency evaluation; multi-factor analysis model

Abstract: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.