A reverse directional distance function to reconcile between competing efficiency goals: an application to Indian manufacturing

The directional distance function and measurement of super-efficiency: an application to airlines data

Lovell and Rouse (LR) have recently proposed a modification of the standard DEA model that overcomes the infeasibility problem often encountered in computing super-efficiency. In the LR procedure one appropriately scales up the observed input vector (scale down the output vector) of the relevant superefficient firm thereby usually creating its inefficient surrogate. An alternative procedure pro...

Scale directional distance function and its application to the measurement of eco-efficiency in the manufacturing sector

Directional distance function (DDF) is a recognized technique for measuring efficiency while incorporating undesirable outputs. This approach allows for desirable outputs to be expanded while undesirable outputs are contracted simultaneously. A drawback of the DDF approach is that the direction vector to the production boundary is fixed arbitrarily, which may not provide the best efficiency mea...

Using Directional Distance Functions to Determine Ranking Ranges in Cross-efficiency Evaluations

Measurement of dynamic efficiency, a directional distance function parametric approach

This research proposes a parametric estimation of the structural dynamic efficiency measures proposed by Silva and Oude Lansink (2009). Overall, technical and allocative efficiency measurements are derived based on a directional distance function and the duality between this function and the optimal value function. The applicability of the parametric proposal is illustrated by assessing dynamic...

Decomposing profit efficiency using a slack-based directional distance function

This paper develops a slack-based decomposition of profit efficiency based on a directional distance function.