An Approach to Discriminate Non-Homogeneous DMUs
نویسندگان
چکیده
DMUs under DEA evaluation are assumed to be homogeneous. That means the units should undertake similar activities, use common technologies, and operate in similar environments. If one of these assumptions is violated, the efficiency estimates of these DMUs will be biased. This paper firstly analyzes the impacts of DMUs’ non-homogeneity caused by technology difference on the efficiency estimates. It is showed that the DMU under evaluated should be compared to only those DMUs utilizing similar technologies. An approach based on system cluster analysis is proposed to discriminate these non-homogeneous DMUs. The DMUs utilizing similar technologies are aggregated in a cluster. A simulation analysis is employed to illustrate and verify our approach. Simulated results indicate that the efficiency estimates evaluated after clustering analysis reflect true efficiency better.
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