investigating the technical efficiency of broiler meat industry in Golestan province using parametric and non-parametric methods

To calculate the thecnical efficiency of broiler meat industry in Golestan Province parametric and non-parametric methods were used. The research tool was a questionnaire completed in production year 2016-2017 by interviewing the mangers of 90 broiler breeding farms. Validity of the questionnaire was confirmed by consulting experts and professors and its reliability was confirmed by using SPSS software and Cronbach's alpha of 0.6%. Based on the capacity of the farm license, all active units were divided into three classes, and the sample size in each class was calculated with the Cochran formula. In the parametric method, the Cobb-Duglass randomization function and Stata software were used. Non-parametric data envelopment analysis method was performed using Excel. The results of the parametric model showed that increasing the input variables area of saloons, treatment and energy costs and number of labors had increased the technical efficiency (P<0.01). There was no significant effect of the number of one-day-old chicks and the amount of food consumption on the farms efficiency. The nonparametric results showed that in the overall efficiency estimation of all 90 units, 14 farms were efficient, but when the classes of capacity were taken into account, the number of the efficient farms increased to 26 units. It can be suggested that inefficient farms take advantage of how labor units, treatment and energy costs are allocated in the efficient farms and try to make optimal use of one-day-old chicks and amount of food consumption to get closer to the efficiency barriesrs.