EconPapers    
Economics at your fingertips  
 

A variant of radial measure capable of dealing with negative inputs and outputs in data envelopment analysis

Gang Cheng, Panagiotis Zervopoulos and Zhenhua Qian

European Journal of Operational Research, 2013, vol. 225, issue 1, 100-105

Abstract: Data envelopment analysis (DEA) is a linear programming methodology to evaluate the relative technical efficiency for each member of a set of peer decision making units (DMUs) with multiple inputs and multiple outputs. It has been widely used to measure performance in many areas. A weakness of the traditional DEA model is that it cannot deal with negative input or output values. There have been many studies exploring this issue, and various approaches have been proposed.

Keywords: Data envelopment analysis; Negative data; Variant of radial measure; Unit invariance (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (31)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221712007102
Full text for ScienceDirect subscribers only

Related works:
Working Paper: A variant of radial measure capable of dealing with negative inputs and outputs in data envelopment analysis (2011) Downloads
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:225:y:2013:i:1:p:100-105

DOI: 10.1016/j.ejor.2012.09.031

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:ejores:v:225:y:2013:i:1:p:100-105