EconPapers    
Economics at your fingertips  
 

Minimum distance efficiency measure in bank production: A directional slack inefficiency approach

Hirofumi Fukuyama (), Roman Matousek and Nickolaos G. Tzeremes

Journal of the Operational Research Society, 2022, vol. 73, issue 8, 1742-1754

Abstract: In the non-radial efficiency measurement literature, it is common to estimate technical (in)efficiency by maximising weighted slacks primarily from the computational viewpoint. This means that efficiency measures and targets are obtained based on farthest distance projections. However, when the decision making units (DMUs) operate at less than the efficient scale, such modelling approach can be very restrictive. This paper proposes a minimum distance Data Envelopment Analysis (DEA) model in order to evaluate the efficiency of Japanese banking sector over the period 2013–2019. The proposed model is based on Koopmans notion of strong efficiency. When comparing our findings from the minimum distance slack inefficiency model with those against the traditional slack inefficiency model, we find significant differences. These differences are primarily based on the way the benchmark targets have been set in the two methodological frameworks. Finally our finding brings forward the importance and the implications on bank efficiency measurement, when non-feasible targets are set during the bank efficiency evaluation.

Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://hdl.handle.net/10.1080/01605682.2021.1943020 (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:73:y:2022:i:8:p:1742-1754

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20

DOI: 10.1080/01605682.2021.1943020

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 ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tjorxx:v:73:y:2022:i:8:p:1742-1754