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Equivalence in two-stage DEA approaches

Yao Chen, Liang Liang and Joe Zhu

European Journal of Operational Research, 2009, vol. 193, issue 2, 600-604

Abstract: Data envelopment analysis (DEA) is a linear programming problem approach for evaluating the relative efficiency of peer decision making units (DMUs) that have multiple inputs and outputs. DMUs can have a two-stage structure where all the outputs from the first stage are the only inputs to the second stage, in addition to the inputs to the first stage and the outputs from the second stage. The outputs from the first stage to the second stage are called intermediate measures. This paper examines relations and equivalence between two existing DEA approaches that address measuring the performance of two-stage processes.

Keywords: Data; envelopment; analysis; (DEA); Efficiency; Intermediate; measure; Two-stage (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (42)

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