The DEA Operational Efficiency Evaluation of Credit Guarantee Institutions
In order to evaluate the operational efficiency of the credit guarantee institutions objectively, data envelopment analysis (DF.A) model is used in this paper. By introducing particle swarm optimization (PSO) algorithm, DEA model can rationally compute the operational efficiency of credit guarantee institutions with multiple inputs and multiple outputs correctly. For illustration, 31 members of a provincial association in China is utilized to show the feasibility of the DEA model in evaluating the operational efficiency of credit guarantee institutions with multiple inputs and multiple outputs. Empirical results show that the operational efficiency evaluation results cannot change with the selection of input indexes and output indexes. The PSO-based DEA model is more robust in evaluating the operating efficiency of credit guarantee institutions and makes the efficiency evaluation more subjectively.
credit guarantee institutions operational efficiency PSO-based DEA model evaluation
Xiaoling Cui Tianli Zhong
School of Business Administration Northeastern University Shenyang, China School of Fxonomics and Ma School of Business Administration Northeastern University Shenyang, China
国际会议
北京
英文
822-825
2009-07-24(万方平台首次上网日期,不代表论文的发表时间)