Cotton Farmers' Technical Efficiency: Stochastic and Nonstochastic Production Function Approaches

Kalyan Chakraborty, Sukant K. Misra and Phillip N. Johnson

Agricultural and Resource Economics Review, 2002, vol. 31, issue 2, 10

Abstract: Technical efficiency for cotton growers is examined using both stochastic (SFA) and nonstochastic (DEA) production function approaches. The empirical application uses farm-level data from four counties in west Texas. While efficiency scores for the individual farms differed between SFA and DEA, the mean efficiency scores are invariant of the method of estimation under the assumption of constant returns to scale. On average, irrigated farms are 80% and nonirrigated farms are 70% efficient. Findings show that in Texas, the irrigated farms, on average, could reduce their expenditures on other inputs by 10%, and the nonirrigated farms could reduce their expenditures on machinery and labor by 12% and 13%, respectively, while producing the same level of output.

Keywords: Crop Production/Industries; Productivity Analysis (search for similar items in EconPapers)
Date: 2002
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
https://ageconsearch.umn.edu/record/31395/files/31010211.pdf (application/pdf)

Related works:
Journal Article: Cotton Farmers' Technical Efficiency: Stochastic and Nonstochastic Production Function Approaches (2002)
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:31395

DOI: 10.22004/ag.econ.31395

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 ().