Input Efficiency Measures: A Generalised, Encompassing Formulation

Autor: Kristiaan Kerstens, Walter Briec, Laurent Cavaignac
Přispěvatelé: Centre d'Analyse de l'Efficience et de la Performance en Economie et Management (CAEPEM), Université de Perpignan Via Domitia (UPVD), LAboratoire de Mathématiques et PhySique (LAMPS), Department of Economics, IESEG School of Managementg, Lille économie management - UMR 9221 (LEM), Université d'Artois (UA)-Université catholique de Lille (UCL)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), LAboratoire de Modélisation Pluridisciplinaire et Simulations (LAMPS)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Operations Research
Operations Research, INFORMS, 2020, 68 (6), pp.1836-1849. ⟨10.1287/opre.2019.1963⟩
Operations Research, 2020, 68 (6), pp.1836-1849. ⟨10.1287/opre.2019.1963⟩
ISSN: 0030-364X
1526-5463
DOI: 10.1287/opre.2019.1963⟩
Popis: In the article “Input Efficiency Measures: A Generalized, Encompassing Formulation” we develop a generalized, encompassing formulation unifying four traditional input efficiency measures: radial, Färe-Lovell, asymmetric Färe, and multiplicative Färe-Lovell. This is basically motivated by the fact that observations on production need not be situated near the efficient subset, but could also be positioned close to the isoquant or even the boundary of the technology. This new generalized Färe-Lovell input efficiency measure shares its axiomatic properties with the original Färe-Lovell input efficiency measure. In addition, we can derive new dual interpretations for this generalized Färe-Lovell input efficiency measure. Finally, we derive mathematical programming formulations, with a special focus on cases where linear programming applies.
Databáze: OpenAIRE