Bounded directional distance function models

Jesus T. Pastor, Juan Aparicio, Javier Alcaraz, Fernando Vidal Giménez and Diego Pastor
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Jesus T. Pastor: Center of Operations Research (CIO), University Miguel Hernandez of Elche (UMH)
Javier Alcaraz: Center of Operations Research (CIO), University Miguel Hernandez of Elche (UMH)
Diego Pastor: University Miguel Hernandez of Elche (UMH)

Central European Journal of Operations Research, 2018, vol. 26, issue 4, No 10, 985-1004

Abstract: Abstract Bounded additive models in data envelopment analysis (DEA) under the assumption of constant returns to scale (CRS) were recently introduced in the literature (Cooper et al. in J Product Anal 35(2):85–94, 2011; Pastor et al. in J Product Anal 40:285–292, 2013; Pastor et al. in Omega 56:16–24, 2015). In this paper, we propose to extend the so far generated knowledge about bounded additive models to the family of directional distance function (DDF) models in DEA, giving rise to a completely new subfamily of bounded or partially-bounded CRS-DDF models. We finally check the new approach on a real agricultural panel data set estimating efficiency and productivity change over time, resorting to the Luenberger indicator in a context where at least one variable is naturally bounded.

Keywords: Data envelopment analysis; Directional distance functions; Bounded or partially-bounded DEA CRS-models (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s10100-018-0562-7

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