Journal
CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH
Volume 26, Issue 4, Pages 985-1004Publisher
SPRINGER
DOI: 10.1007/s10100-018-0562-7
Keywords
Data envelopment analysis; Directional distance functions; Bounded or partially-bounded DEA CRS-models
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Funding
- Spanish Ministry for Economy and Competitiveness (Ministerio de Economia, Industria y Competitividad)
- State Research Agency (Agencia Estatal de Investigacion)
- European Regional Development Fund (Fondo Europeo de DEsarrollo Regional) (AEI/FEDER, UE) [MTM2016-79765-P]
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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.
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