Cost decompositions and the efficient subset. (July 2016)
- Record Type:
- Journal Article
- Title:
- Cost decompositions and the efficient subset. (July 2016)
- Main Title:
- Cost decompositions and the efficient subset
- Authors:
- Färe, Rolf
Fukuyama, Hirofumi
Grosskopf, Shawna
Zelenyuk, Valentin - Abstract:
- Abstract: This paper develops two cost decompositions based on the multiplicative Russell and additive slack-based (in)efficiency measurement frameworks. While the multiplicative cost decomposition is a straightforward extension of the standard cost decomposition, the decomposition we develop in this paper incorporates slacks directly so that efficiency is measured relative to the efficient subset. To show the applicability of our novel approach, we provide an illustration using a data set used in the literature. Highlights: We introduce both an additive slack-based and a multiplicative Russell approach for decomposing cost (in)efficiency. Focusing on the additive form, we develop a cost decomposition on the additive Russell measure. We extend the developed additive approach into data envelopment analysis. To show the applicability of our novel approach, we provide an illustration using data.
- Is Part Of:
- Omega. Volume 62(2016)
- Journal:
- Omega
- Issue:
- Volume 62(2016)
- Issue Display:
- Volume 62, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 62
- Issue:
- 2016
- Issue Sort Value:
- 2016-0062-2016-0000
- Page Start:
- 123
- Page End:
- 130
- Publication Date:
- 2016-07
- Subjects:
- Cost efficiency -- Efficient subset -- Russell measure -- Directional distance function -- Slacks -- Data envelopment analysis (DEA)
Management -- Periodicals
658.4005 - Journal URLs:
- http://www.sciencedirect.com/science/journal/latest/03050483 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.omega.2015.09.004 ↗
- Languages:
- English
- ISSNs:
- 0305-0483
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6256.426000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 118.xml