Farm-Level Technical Productivity Of Tomato Growers In District Kurram
Abstract
Farm-level technical efficiency of tomato growers was examined in District Kurram erstwhile FATA for 134 farmers selected through proportional allocation method. A Cob-Douglas frontier production was estimated using Maximum Likelihood Estimation Technique. The estimated results show an average technical efficiency of 87 percent with 83 percent production variation due to technical inefficiency factors. Key inputs like seed rate, tractor hours, fertilizers, pesticides, FYM, irrigation, and labor significantly and positively influenced efficiency. Additionally, age, education, and farming experience were found to enhance efficiency by reducing technical inefficiency. The study suggests that improving farmer education, scaling operations, and offering training on tomato processing can boost productivity and reduce post-harvest losses.
Keywords: Technical efficiency, stochastic production function, tomato production elasticity