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Measurement of Technical Efficiency and Its Determinants in Wheat Production: The Case of Smallholder Farmers in Wogidi District, South Wollo Zone Ethiopia

机译:小麦生产中技术效率的衡量标准及其决定因素:以埃塞俄比亚南部沃尔洛地区沃吉迪地区的小农户为例

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Growth in agriculture was one of the major drivers of the remarkable economic growth recorded in Ethiopia in the last decade. The major grain crops grown in Ethiopia are wheat, teff, maize, barley, sorghum and millet. The aim of this study was to determine the level of technical efficiency of smallholder Wheat producers and identify factors affecting technical efficiency of smallholder farmers in Wheat production of Wogidi district, South Wollo Zone, Ethiopia. A three-stage sampling technique was employed to select 123 sample farmers who were interviewed using a structured schedule to obtain data pertaining to Wheat production during 2016/2017 production year. A Cobb-Douglas stochastic frontier production analysis approach with the inefficiency effect model was used to estimate technical efficiency and identify the determinants of efficiency of Wheat producing farmers. The maximum likelihood parameter estimates showed that Wheat output was positively and significantly influenced by area, fertilizer, labor and number of oxen. This would mean that there is a room to increase Wheat output from the existing level if farmers are able to use these input variables in an efficient manner. The estimated mean levels of technical efficiency of the sample farmers were about 82%. This shows that there exists a possibility to increase the level of Wheat output by 18% through efficiently utilizing the existing resources. The estimated stochastic production frontier model together with the inefficiency parameters showed that, age, education, improved seed, training and credit were found to have negative and significant effect on technical inefficiency while farm size was found to have positive and significant effect on technical inefficiency of Wheat production. Hence, local government should provide necessary supports such as formal as well as informal education, training, credit, improved seed and timely supply of fertilizer.
机译:农业的增长是过去十年埃塞俄比亚取得显着经济增长的主要动力之一。埃塞俄比亚主要的粮食作物是小麦,特夫,玉米,大麦,高粱和小米。这项研究的目的是确定小农小麦生产者的技术效率水平,并找出影响埃塞俄比亚南沃尔洛地区沃吉迪区小麦生产中小农小麦技术效率的因素。采用了三阶段抽样技术,以结构化的时间表选择了123名样本农户进行了访谈,以获取与2016/2017生产年度小麦生产相关的数据。利用带有无效效应模型的Cobb-Douglas随机前沿生产分析方法来估算技术效率并确定小麦生产农户效率的决定因素。最大似然参数估计值表明,小麦产量受到面积,肥料,劳动力和牛数量的积极影响。这意味着,如果农民能够有效地利用这些输入变量,则有增加小麦产量的空间。样本农民的技术效率估计平均水平约为82%。这表明,通过有效利用现有资源,有可能将小麦产量提高18%。估计的随机生产前沿模型和效率低下的参数表明,年龄,教育程度,改良的种子,培训和信誉对技术效率低下有负面影响,而农场规模对农民的技术效率低下有正面影响。小麦生产。因此,地方政府应提供必要的支持,例如正规和非正规教育,培训,信贷,改良种子和及时供应肥料。

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