A Stochastic Frontier Approach for Measuring Technical Efficiencies of Date Farms in Southern Tunisia

Mounir Belloumi and Mohamed Salah Matoussi

Agricultural and Resource Economics Review, 2006, vol. 35, issue 2, 14

Abstract: The main objective of this research is to compare estimates of technical efficiency obtained from the stochastic frontier approach for two samples of farmers of private and water user associations in the Nefzaoua Oases region (Tunisia), which are characterized by a severe scarcity of water and especially a high degree of salinity. Technical inefficiency effects are modeled as a function of farm-specific socioeconomic factors. Results suggest that both systems are technically inefficient. On average, the private system is found to be slightly more efficient than the associative one. Date yield could be explained mainly by four variables: water quantity applied per palm tree, labor per palm tree, phosphate per palm tree, and water salinity. Output elasticities of all inputs are found to be positive and significant except for the farmyard manure. Water salinity has a considerable negative impact on date productivity. For the technical inefficiency model, none of the socioeconomic variables seem to matter.

Keywords: Farm Management; Productivity Analysis (search for similar items in EconPapers)
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/10221/files/35020285.pdf (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:ags:arerjl:10221

DOI: 10.22004/ag.econ.10221

Access Statistics for this article

More articles in Agricultural and Resource Economics Review from Northeastern Agricultural and Resource Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().