Gas refineries are one of the pivotal industries, have crucial role in economic development. Because of such an importance, there can be found a rich literature in evaluating and ranking these organizations. Data envelopment analysis is a popular non-parametric technique received much attention in the mentioned area. The current research addresses to evaluate 11 gas refineries in Iran between 1392-1394 using two-stage CCR based data envelopment analysis technique. In this regard, numerical results show that some of the refineries lie on the efficient frontier; Hence, Anderson-Peterson is employed to rank the efficient ones and phase 0 and 10 ASALUYE refinery is introduced as the strong efficient DMU. Malmquist measure is also applied to investigate the progression/ retrogression of the DMUs.
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