productivity index with a directional distance function. Unlike a conventional geometric mean form of the Malmquist …

directional input distance function. In the second stage, the inefficiency estimates are regressed on environmental and …

An input distance function (IDF) is estimated to empirically evaluate and analyze the technical and environmental …

results obtained with Data Envelopment Analysis (DEA) and Directional Distance Function (DDF), two related non …

This paper proposes a constrained nonparametric method of estimating an input distance function. A regression function … estimated input distance function are derived, and thus the elasticities measuring input substitutability can be computed from … is estimated via kernel methods without functional form assumptions. To guarantee that the estimated input distance …

shadow price of CO2 for a sample of wastewater treatment plants (WWTPs), using a parametric quadratic directional distance … function. Following this, in a sensitivity analysis, the paper evaluates the impact of different settings of directional …

between the directional input distance function (DIDF) and the cost function, the study reports allocative inefficiency scores …

the dynamic directional distance function and intertemporal cost minimization, respectively. The empirical application …

This paper establishes a new metafrontier directional technology distance function (MDDF) under a stochastic framework …