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Impact of Small Scale Irrigation on Farm Technical Efficiency and Household Income in Amhara Regional State: A Stochastic Approach

机译:小规模灌溉对阿马拉区域国家农场技术效率和家庭收入的影响:一种随机方法

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Agriculture is the main stay of Ethiopian population with a significant contribution to GDP. More recently the quest for more enhanced production and productivity has become an urgent issue of importance in the agriculture sector. The use of yield improving technological innovations is paramount importance towards this goal. As the potential to increase production and productivity by bringing more resources in to use is limited, the efficiency in which the farmers use available resources has received the utmost attention. This being the case, in this study effort has been made to assess the impact of small scale irrigation on farm technical efficiency and household income. The study was conducted in Amhara regional state. The survey data was collected from four kebeles in Sekela woreda of west Gojjam administrative zone in the year 2014/15 from 119 households. The data collected considered two groups of farm households, irrigation users and non-user households. Stochastic production frontier function with inefficiency variables had been applied to estimate technical efficiency. The finding of income variables indicate that land, access to irrigation, credit, education, labor, total livestock unit, and ox have significant contribution to household income. Among the input variables land and ox have positive and significant contribution to farm production whereas labor has negative contribution to farm production. The coefficient of land and oxen is 0.9 and 0.28 for irrigation users and 1.56 and 0.46 for irrigation non users respectively indicating greater marginal contribution of input variables when irrigation technology is in place. The inefficiency variables, age square , access to irrigation and land are found to improve farm efficiency while age of the household, gender, and dependency ratio have negative contribution to farm technical efficiency. Distance of the farmer’s house from development center and extension participation is not statistically significant. The mean technical efficiency of the whole sample was found to be 71% indicating that there is a possibility of improving the farm output on average by 29% if the technical efficiency of less efficient households could perform better to obtain the maximum attainable level of output.
机译:农业是埃塞俄比亚人口的主要留力,对GDP具有重大贡献。最近,寻求更加加强的生产和生产力已成为农业部门重要性的紧急问题。利用产量提高的技术创新至关重要对这一目标至关重要。由于利用更多资源来增加生产和生产力的潜力是有限的,农民使用可用资源的效率得到了最大的关注。这是如此,在这项研究中,已经努力评估小规模灌溉对农业技术效率和家庭收入的影响。该研究是在阿哈拉区域州进行的。 2014/15年度从119户,从西戈阿姆行政区Sekela Woreda的四个Kebeles收集了调查数据。收集的数据被认为是两组农户,灌溉用户和非用户家庭。随机生产前沿函数效率低下变量估算估算技术效率。收入变量的发现表明,土地,获取灌溉,信贷,教育,劳动力,总牲畜单位和牛对家庭收入有重大贡献。在输入变量的土地和牛对农业生产具有积极和重大贡献,而劳动力对农业生产具有负面贡献。灌溉使用者的陆地和牛环系数为0.9和0.28,为灌溉非用户提供1.56和0.46,分别表示当灌溉技术到位时输入变量的更大边际贡献。效率变量,年龄广场,获得灌溉和土地的获取,以提高农户效率,而家庭年龄,性别和抚养比率对农业技术效率产生负面贡献。农民房屋从发展中心和延伸参与的距离并不统计学意义。发现整个样品的平均技术效率为71%,表明如果效率低于较低的家庭的技术效率可以更好地获得最大的产量水平,则可能会平均改善农场产量的可能性。

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