An application of IDEA to wheat farming efficiency

A. Hadi‐Vencheh and R. Kazemi Matin

Agricultural Economics, 2011, vol. 42, issue 4, 487-493

Abstract: Data Envelopment Analysis (DEA) is a nonparametric approach to evaluating the relative efficiency of decision making units (DMUs) that use multiple inputs to produce multiple outputs. An assumption underlying DEA is that all the data assume the form of specific numerical values. In some applications, however, the data may be imprecise. That is, all the input and output data cannot be exactly obtained due to the existence of uncertainty. They are only known to lie within specified intervals. A DEA model with imprecise data or, more compactly, an Imprecise DEA (IDEA) model proposed in this article to evaluate efficiency for each DMU. The article is illustrated with an application to Iranian wheat producer provinces.

Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://doi.org/10.1111/j.1574-0862.2010.00528.x

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:bla:agecon:v:42:y:2011:i:4:p:487-493

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0169-5150

Access Statistics for this article

Agricultural Economics is currently edited by W.A. Masters and G.E. Shively

More articles in Agricultural Economics from International Association of Agricultural Economists Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().