A unified approach to non-radial graph models in data envelopment analysis: common features, geometry, and duality
Margaréta Halická and
Maria Trnovska
European Journal of Operational Research, 2021, vol. 289, issue 2, 611-627
Abstract:
In data envelopment analysis (DEA), non-radial graph models represent an important class characterized by the independent treatment of each input and output factor in the efficiency measurement. The extensive literature on this topic often analyses individual models in isolation, so much so that the same model may be known under different names due to alternative formulations of different authors. In this paper, a unified analysis of non-radial graph models is offered, viewing each of them via two equivalent schemes: the slack-variables scheme and the Russell-type scheme. Under these schemes, the properties common to the whole class are specified and justified. Along with the two envelopment form schemes, a general dual (multiplier) form is presented. Primal-dual relationships between the envelopment and multiplier non-radial models are analyzed in order to reveal new useful properties and insights.
Keywords: Data envelopment analysis; Non-radial models; Weighted additive model; Russell measure model; Slacks-based model (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221720306305
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:289:y:2021:i:2:p:611-627
DOI: 10.1016/j.ejor.2020.07.019
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().