EconPapers    
Economics at your fingertips  
 

DEA models with Russell measures

Wanfang Shen, Guoliang Yang, Zhongbao Zhou () and Wenbin Liu
Additional contact information
Wanfang Shen: Shandong University of Finance and Economics
Guoliang Yang: Chinese Academy of Sciences
Zhongbao Zhou: Hunan University
Wenbin Liu: University of Kent

Annals of Operations Research, 2019, vol. 278, issue 1, No 16, 337-359

Abstract: Abstract In real applications, data envelopment analysis models with Russell measures are widely used although their theoretical studies are scattered over the literature. They often have seemingly similar structures but play very different roles in performance evaluation. In this work, we systematically examine some of the models from the viewpoint of preferences used in their production possibility sets (PPS). We identify their key differences through the convexity and free-disposability of their PPS. We believe that this study will provide guidelines for the correct use of these models. Two empirical cases are used to compare their differences.

Keywords: DEA; Russell measures; Preference; Production possibility sets; Free disposability (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10479-018-2867-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:annopr:v:278:y:2019:i:1:d:10.1007_s10479-018-2867-2

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-018-2867-2

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:annopr:v:278:y:2019:i:1:d:10.1007_s10479-018-2867-2