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Application of Stochastic Production Frontier in the Estimation of Technical Efficiency of Irrigated Agriculture in Tunisia

机译:随机生产前沿在突尼斯灌溉农业技术效率估计中的应用

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In this study, we estimate agricultural technology for Tunisian peasants, accounting for the crop choice of perasants and distinguishing inputs for individual crops such as: vegetable farming cereal and fruit-trees. The study employed the use of cross-section data from distinguishable irrigated crops survey conducted on a sample of 218 farmers frome 11 regions in Tunisia. The data were collected with the aid of structured questionnaire and were later analysed. The Cobb Douglass production frontier model is employed in order to analyse data collected. Among the irrigated crop farmers, the significant variables were: farmuar manuar fertiliser quantity, labor, mecanic traction and among of irrigated water applied. The estimated sigma square (σ2) and gamma (γ) are widely significants for all irrigated crops and revealed that >85% of the variation in the Tunisian irrigated output among farmers in the study area are due to the differences in their efficiencies. Howerver, we find that predicted technical efficiency widely varies across farms and crops from an average of 54.7% for vegetable farming up to 80.6% for fruit-trees. The study also revealed the existing on inefficiency effects among the farmers as: education, farmer?s age, irrigation techniques, lack of education, property of land.
机译:在这项研究中,我们估算了突尼斯农民的农业技术,说明了农民的农作物选择,并区分了各种农作物的投入,例如:蔬菜种植谷物和果树。该研究采用了来自可分辨灌溉作物调查的横截面数据,该数据是对来自突尼斯11个地区的218名农民的样本进行的。借助结构化问卷收集数据,然后进行分析。为了分析收集的数据,采用了Cobb Douglass生产前沿模型。在灌溉农作物中,显着变量为:农作物手耕肥料的数量,劳动力,机械牵引力以及灌溉水的施用量。估计的sigma平方(σ2)和γ(γ)对于所有灌溉农作物都具有广泛意义,并且表明研究区域农民之间突尼斯灌溉产量的变化中> 85%是由于其效率差异造成的。然而,我们发现,不同农场和农作物的预测技术效率差异很大,从蔬菜种植的平均54.7%到果树的80.6%。该研究还揭示了农民对低效率的影响,包括:教育,农民的年龄,灌溉技术,缺乏教育,土地财产。

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