Estimating and decomposing overall inefficiency by determining the least distance to the strongly efficient frontier in data envelopment analysis
Juan Aparicio (),
Jesus T. Pastor,
Jose L. Sainz-Pardo and
Fernando Vidal Giménez ()
Additional contact information
Juan Aparicio: Miguel Hernandez University of Elche (UMH)
Jesus T. Pastor: Miguel Hernandez University of Elche (UMH)
Jose L. Sainz-Pardo: Miguel Hernandez University of Elche (UMH)
Operational Research, 2020, vol. 20, issue 2, No 12, 747-770
Abstract This paper proposes a new method to measure economic inefficiency of decision making units based on the calculation of the least distance to the Pareto-efficient frontier in data envelopment analysis. While all previously published approaches that have dealt with the problem of determining least distances to the efficient frontier are focus on exclusively technical inefficiency, the new methodology opens the door to applications of this approach when market prices, together with inputs and outputs, are available. Finally, the paper empirically illustrates the new method using recent data on the mandarins’ production in a Spanish eastern province.
Keywords: Data envelopment analysis; Profit inefficiency; Technical inefficiency; Allocative inefficiency; Closest targets; Least distance (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
http://link.springer.com/10.1007/s12351-017-0339-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:spr:operea:v:20:y:2020:i:2:d:10.1007_s12351-017-0339-0
Ordering information: This journal article can be ordered from
https://www.springer ... search/journal/12351
Access Statistics for this article
Operational Research is currently edited by Nikolaos F. Matsatsinis, John Psarras and Constantin Zopounidis
More articles in Operational Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().