Data envelopment analysis cross-efficiency method of non-homogeneous decision-making units
Lei Chen and
Ying-Ming Wang
Journal of the Operational Research Society, 2023, vol. 74, issue 4, 1118-1132
Abstract:
Faced with a large number of the efficiency evaluation problems with non-homogeneous decision-making units (DMUs) in reality, the existing efficiency evaluation methods are always unfair in terms of evaluation perspective and inputs/outputs allocation. Therefore, this paper adopts the concept of network data envelopment analysis (DEA) to define the inclusion relationship of production structure between non-homogeneous DMUs. Sequentially, the DEA cross-efficiency model and its corresponding cross-evaluation strategy are constructed by combining the self-evaluation perspective with peer-evaluation perspective, and then the efficiency of these DMUs can be evaluated in a more objective and reasonable way. Actually, the cross-evaluation perspective can fully reflect the effect of non-homogeneous structure on efficiency. In addition, the inclusion relationship is extended to a mixed relationship, and the application scope of the new cross-efficiency method is thus further expended. Finally, two examples are provided to illustrate the effectiveness of the new method.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/01605682.2022.2056535 (text/html)
Access to full text is restricted to subscribers.
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:taf:tjorxx:v:74:y:2023:i:4:p:1118-1132
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20
DOI: 10.1080/01605682.2022.2056535
Access Statistics for this article
Journal of the Operational Research Society is currently edited by Tom Archibald
More articles in Journal of the Operational Research Society from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().