Following the spirit of the enhanced Russell graph measure, this paper proposes an enhanced Russell-based directional distance measure (ERBDDM) model for dealing with desirable and undesirable outputs in data envelopment analysis (DEA) and allowing some inputs and outputs to be zero. The...

This paper establishes a new metafrontier directional technology distance function (MDDF) under a stochastic framework, rather than a deterministic setting like the one proposed by Battese et al. (2004). The new MDDF allows for calculating comparable technical efficiencies for banks under...

In the majority of production processes, noticeable amounts of bad byproducts or bad outputs are produced. The negative effects of the bad outputs on efficiency cannot be handled by the standard Malmquist index to measure productivity change over time. Toward this end, the Malmquist–Luenberger...

This paper uses a directional output distance function to estimate a multi-output production frontier for a sample of experimental plots grown for the Sustainable Agriculture Farming Systems project at the University of California, Davis. Cross-sectional technical efficiency indices are...

This paper addresses the question how team production promotes efficiency of a firm when some inputs can be rewarded on the basis of outputs but some cannot because they are shared among outputs and non-separable. A multi-activity DEA model with variable returns to scale is proposed to provide...

Relying on the frontier production approach, we investigated the performance of the agricultural sector in 28 transition countries and its changes over time, especially focusing on the dynamics of productivity changes and the effects of reform policy. Our findings are: (i) Asian and CEE...