Abstract
In order to evaluate the operational efficiency of the credit guarantee institutions objectively, data envelopment analysis (DEA) 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.
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