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Abstract : |
This study estimates technical efficiencies of wheat growing farmers in Southeastern Anatolia region of Turkey using both parametric and non-parametric methods. The empirical application uses farm level data collected from 75 farms following 2003/2004 growing season. According to the results of the Data Envelopment Analysis (DEA) model, mean efficiencies of wheat growing farmers were estimated to be 0.72 and 0.79 for constant and variable returns to scale (CRS and VRS) assumptions respectively. Predicted technical efficiencies with stochastic frontier model vary widely among farms, ranging between 0.34 and 0.93 and a mean technical efficiency of 0.73. A strong correlation was found between the results obtained with output oriented CRS-DEA and stochastic frontier model. Based on these results, sample wheat producers could increase their output by 21-27% through better use of available resources. Further studies are required in order to determine causes of inefficiencies. , This study estimates technical efficiencies of wheat growing farmers in Southeastern Anatolia region of Turkey using both parametric and non-parametric methods. The empirical application uses farm level data collected from 75 farms following 2003/2004 growing season. According to the results of the Data Envelopment Analysis (DEA) model, mean efficiencies of wheat growing farmers were estimated to be 0.72 and 0.79 for constant and variable returns to scale (CRS and VRS) assumptions respectively. Predicted technical efficiencies with stochastic frontier model vary widely among farms, ranging between 0.34 and 0.93 and a mean technical efficiency of 0.73. A strong correlation was found between the results obtained with output oriented CRS-DEA and stochastic frontier model. Based on these results, sample wheat producers could increase their output by 21-27% through better use of available resources. Further studies are required in order to determine causes of inefficiencies., |
