The problem of infeasibility arises in conventional radial super-efficiency data envelopment analysis (DEA) models … under variable returns to scale (VRS). To tackle this issue, a Nerlove–Luenberger (N–L) measure of super-efficiency is … developed based on a directional distance function. Although this N–L super-efficiency model does not suffer infeasibility …

The current paper proposes a slack-based version of the Super SBM, which is an alternative super-efficiency model for … the SBM proposed by Tone. Our two-stage approach provides the same super-efficiency score as that obtained by the Super … SBM model when the evaluated DMU is efficient and yields the same efficiency score as that obtained by the SBM model when …

This paper aims to provide an advanced dynamic efficiency assessment methodology for city performance strategies in … Japan, based on an extended and super-efficient Data Envelopment Analysis (DEA). The use of this novel efficiency …. This new model is able to present a more realistic efficiency improvement projection comprising a dynamic system of target …

where we merge the super-efficiency DEA and the forward search. Since DEA provides efficiency scores which are not … through the integration of a regression model and the super-efficiency DEA. We simulate a Cobb–Douglas production function and … we compare the super-efficiency DEA and the forward search analysis in both uncontaminated and contaminated settings. For …

infeasibility issue in super-efficiency models. In this paper, we point out that their model is feasible when input data are … positive but can be infeasible when some of input is zero. Their model is modified so that the new super-efficiency DEA model … is always feasible when data are non-negative. Note that zero data can make the super-efficiency model under constant …