Profit, Directional Distance Functions, and Nerlovian Efficiency

R. G. Chambers, Y. Chung and R. Färe
Additional contact information
R. G. Chambers: University of Maryland at College Park
Y. Chung: Southern Illinois University at Carbondale
R. Färe: Oregon State University

Journal of Optimization Theory and Applications, 1998, vol. 98, issue 2, No 4, 364 pages

Abstract: Abstract The directional technology distance function is introduced, given an interpretation as a min-max, and compared with other functional representations of the technology including the Shephard input and output distance functions and the McFadden gauge function. A dual correspondence is developed between the directional technology distance function and the profit function, and it is shown that all previous dual correspondences are special cases of this correspondence. We then show how Nerlovian (profit-based) efficiency measures can be computed using the directional technology distance function.

Keywords: Directional distance functions; Nerlovian efficiency; duality; profit functions (search for similar items in EconPapers)
Date: 1998
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (609)

Downloads: (external link)
http://link.springer.com/10.1023/A:1022637501082 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:joptap:v:98:y:1998:i:2:d:10.1023_a:1022637501082

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1023/A:1022637501082

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().