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Technical Efficiency of Wheat Producers in North Shewa Zone of Amhara Region, Central Ethiopia

机译:埃塞俄比亚中部Amhara地区北申察小麦生产者技术效率

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The aim of this study is to analyze technical efficiency of wheat producers and identifying the sources of inefficiency in North Shewa Zone of Amhara National Region State, Central Ethiopia. A multi-stage sampling technique was used to select sample respondent households. In the first phase, three potential wheat grower districts namely, Bassona Worrana, Siyadebrna Wayu, and Moretna Jiru were selected purposively. In the second stage, six potential kebeles (lowest administrative level), two from each of the three districts were selected. In the third phase, proportionally with population size, 374 sample households were selected using simple random sampling techniques from each of the selected kebeles. Cobb-Douglas Stochastic Frontier Production (SFP) function and inefficiency function were used to estimate the technical inefficiency level of wheat producers using a one-step maximum likelihood estimation procedure. The average productivity of wheat was found to be 32.60 quintals per hectare. Land size, fertilizer, seed, labor, and oxen power were important factors of production positively and significantly affecting wheat output. Age and education level of a farmer, off-farm income, extension contact, and credit services were found negatively and significantly affecting the technical inefficiency of wheat producing farmers. The inefficiency components contributed about 70.62% of the total deviation from the best possible production output. The average technical efficiency (TE) level of wheat producers was 72%. Overall, the provision of fertilizers, credit, and extension services would make wheat producers more productive and technically efficient in the study area.
机译:本研究的目的是分析小麦生产者的技术效率,并确定埃塞俄比亚中部阿哈拉国家地区国家地区北申察区的效率低。使用多级采样技术来选择样品受访家庭。在第一阶段,三个潜在的小麦种植者区即,Bassona Worraans,Siyadebrna Wayu和Moretna jiru被用作。在第二阶段,选择了六个潜在的Kebeles(最低的行政水平),两个来自三个地区的两个。在第三阶段,按比例以群体大小,使用来自每个选定的Kebeles的简单随机采样技术选择374个样品家庭。 Cobb-Douglas随机前沿生产(SFP)功能和效率低下功能用于使用一步最大似然估计程序来估算小麦生产者的技术效率。每公顷发现小麦的平均生产力为32.60夸脱。土地面积,肥料,种子,劳动力和牛力量是生产的重要因素积极,显着影响小麦产量。农民的年龄和教育水平,农场收入,延长联系和信贷服务都有负面且大大地影响了小麦制作农民的技术效率。效率低下成分占总可能产量的总偏差的约70.62%。小麦生产商的平均技术效率(TE)水平为72%。总体而言,提供肥料,信贷和推广服务将使小麦生产商在研究区内的生产力和技术效率更高。

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