Computing gradient-based stepwise benchmarking paths

Sebastián Lozano and Laura Calzada-Infante

Omega, 2018, vol. 81, issue C, 195-207

Abstract: In this paper, a new stepwise benchmarking approach is presented. It is based on the concept of efficiency field potential given by a continuous and differentiable function that decreases monotonously as the amount of inputs consumed is reduced and the amount of outputs produced is increased. A gradient-based stepwise efficiency improvement method is proposed and the graphical interpretation of the continuous gradient-based trajectories is shown. A minimum potential DEA model is also formulated. The proposed approach is units invariant and can take into account preference structure, non-discretionary variables and undesirable outputs. The proposed method has been applied to an organic farming dataset.

Keywords: Data Envelopment Analysis (DEA); Stepwise benchmarking; Efficiency field potential; Efficiency field vector; Organic farming (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (11)

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DOI: 10.1016/j.omega.2017.11.002

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