Factors affecting technical efficiency scores estimated for the cotton sector of the Harran plain in Turkiye: A stochastic frontier analysis

The current study deals with the technical efficiency of cotton farmers operating on Harran Plain Turkiye an application to two well-known stochastic approaches, i.e., Cobb-Douglas and translog frontier production functions. Using farm-level cross-sectional data, a specialized maximum likelihood technique incorporates both frontiers inefficiency effects models into single equation model estimate these scores along their determinants simultaneously. Calculations indicate that were present in models. data used this research proved be best fit for function comparison specification corresponding model. Although partial influences some variables included found insignificant, all jointly had significant impacts shaping sampled farmers. Results show factors such as farm experience, education, land fragmentation, off-farm job availability, irrigation frequency, location influence effects.