Technical Efficiency Analysis of Wheat Farms in the Punjab, Pakistan: DEA Approach
Shahzad Muhammad Aamir,
Akram Waqar and
Khan Muhammad
MPRA Paper from University Library of Munich, Germany
Abstract:
The wheat productivity in the Punjab is less than the potential maximum due to technical farm and management issues. The farm level panel survey data was used for the said purpose comprising 17 districts of the province of the Punjab from the period 2005-06 to 2007-08. The technical efficiency of wheat farms was analyzed using Data Envelopment Analysis (DEA) approach. Subsequently, the same was calculated by analyzing the socioeconomic factors responsible for (in) efficiency using Tobit Regression Model. The DEA didn’t accommodate statistical noise such as random shocks which were beyond the control of farmers. However, the technical efficiency of wheat farms was estimated using the DEA approach. The mean technical efficiency estimated through variable return to scale (VRS) was 60.13 percent and constant return to scale (CRS) was 56.61 percent. The results of analyses were supported by the literature. The technical efficiency could be improved by educating the young farmers, building road infrastructure and providing access to essential inputs to farmers. The study undertaken supports the argument that technically wheat farmers are less efficient in the Punjab, Pakistan.
Keywords: Data Envelopment Analysis; Variable Return to Scale; Constant Return to Scale. (search for similar items in EconPapers)
JEL-codes: Q12 Q18 (search for similar items in EconPapers)
Date: 2016-10-01, Revised 2017-10-01
New Economics Papers: this item is included in nep-agr, nep-cta and nep-eff
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/81846/1/MPRA_paper_81846.pdf original version (application/pdf)
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:pra:mprapa:81846
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().