Identifying Pareto-efficient projection of Super-SBM with undesirable outputs: One model approach

Abstract

Traditionally, the Super-SBM model must be computed in two stages in contrast to the computation of super-efficiency in radial measures. Moreover, the super-efficiency obtained by Super-SBM might be overestimated due to the inefficient projection. In the current paper, we propose an integrated Super-SBM model that can deal with undesirable outputs and identify the Pareto-efficient projection such that the super-efficiency is not overestimated and accounts for all slacks.