Data Envelopment Analysis can be feasibly more efficient than the Pareto Efficiency
نویسنده
چکیده
This paper examines inability of CCR and BCC models in improving DMU’s scale efficiency when a production possibility frontier is assumed as variable returns to scale. This paper also finds that DEA result can be more efficient than the Pareto-efficiency when a DMU is feasibly projected to be both technically and scale efficient. This feasible projection can only be achieved by a VRS DEA model with mixed-orientation.
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