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首页> 外文期刊>Journal of Economics and Sustainable Development >The Impact of Urban Expansion on the Livelihood of Farming Communities in Peri-Urban Area of Bahir Dar City Amahara, Ethiopia
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The Impact of Urban Expansion on the Livelihood of Farming Communities in Peri-Urban Area of Bahir Dar City Amahara, Ethiopia

机译:埃塞俄比亚巴赫达尔市阿玛哈拉周边城市地区的城市扩张对农业社区生计的影响

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摘要

In the past two decades, Bahir Dar city has been growing at a faster rate of urbanization. This is manifested by high population concentration in the city and horizontal physical expansion of the city. Using survey data from 310 randomly selected households in four peripheral areas of Bahir Dar city, both descriptive and econometric model have been used to analyze the data. Binary and multinomial logit regression models were used to investigate the effect impact of urban expansion on their livelihood and to examine the livelihood strategies pursued in the area. logit regression shows that displacement status was influenced by head education, education of working member, household size, male working member, dependent ratio, household land size, and total value of current productive asset although the propensity score matching estimation result shows, there is insignificant difference between displaced and non-displaced in terms of livelihood outcome. Nevertheless the effect of displacement on household’s livelihood outcome has a negative difference -0.152 as compared to non-displaced. The multinomial logit model result shows variables include head age, head sex, head education, household size, dependency ratio, household land size, total value of current productive asset and access to credit which were determining farmers’ choice of livelihood strategies.
机译:在过去的二十年中,巴希尔达尔市以更快的城市化速度发展。这体现在城市人口高度集中和城市水平的物质扩张上。利用来自巴赫达尔市四个外围地区的310个随机选择的家庭的调查数据,描述性模型和计量经济学模型均已用于分析数据。使用二元和多项式logit回归模型来研究城市扩张对其生计的影响,并研究该地区追求的生计策略。 Logit回归表明,尽管倾向得分匹配估计结果表明,流离失所状况受头部教育,工作人员的教育程度,家庭人数,男性工作人员,受抚养比率,家庭土地面积和流动生产资产总值的影响,但影响不大就生计结果而言,流离失所者与非流离失所者之间的差异。尽管如此,流离失所对家庭生计结果的影响与非流离失所相比具有负差-0.152。多项式logit模型结果显示变量包括农民的年龄,性别,农民的教育程度,家庭人数,抚养比,家庭土地面积,当前生产性资产的总价值和获得信贷的机会,这些因素决定了农民的生计策略选择。

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