Evaluation of Economic Efficiency of Wheat Farms in a Region of Bangladesh under the Input Orientation Model

Mohd. Kamruzzaman, Basil Manos () and Moss. Begum

Journal of the Asia Pacific Economy, 2005, vol. 11, issue 1, 123-142

Abstract: This study pertains to a region of Khulna Division, a southwestern part of Bangladesh. The economic efficiency of wheat farms in this rural area was estimated through Data Envelopment Analysis (DEA) of farm level data for the year 2002. The overall mean efficiency score of the sample farms was 0.86 meaning that the economic efficiency of the sample farms was 14 percent below what can be achieved. Computed efficiency scores were subsequently regressed on explanatory variables using a Tobit analysis, to help in identifying inefficiency related factors. Nine explanatory variables were identified as being related to efficiency. Finally, how an inefficient farm becomes an efficient one was estimated and it was found that 34.29 percent of the TSP fertilizer was being over used in the farm levels of Bangladesh, which is the highest misallocation in the study area. To this end, a constant return to scale and input orientation model has been applied to a sample of 150 wheat farms.

Date: 2005
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://hdl.handle.net/10.1080/09503110500348008 (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:rjapxx:v:11:y:2005:i:1:p:123-142

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rjap20

DOI: 10.1080/09503110500348008

Access Statistics for this article

Journal of the Asia Pacific Economy is currently edited by Leong Liew

More articles in Journal of the Asia Pacific Economy from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().