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Analysis of households food insecurity and its coping mechanisms in Western Ethiopia

机译:埃塞俄比亚西部家庭粮食不安全状况及其应对机制分析

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This study analyzed households’ food insecurity and its determinants along with the coping mechanisms opted against food insecurity and shortage in Assosa zone, western Ethiopia. The study used a primary data collected from 276 randomly selected households for 7 consecutive days from each sample using weighed records method. In addition, focus group discussions and key informants interview were also used. This study employed descriptive statistics, food insecurity index and Tobit model to analyze the data. The finding of the study revealed that, in the study area, the incidence of food insecurity was 53.62%, with the depth and severity of food insecurity being 16.84% and 7.32%, respectively. The study finding also pointed out that the mean kilocalorie intake of food insecure households was 1440.37kcal/AE/day, with the minimum and maximum being 597.65?kcal and 2048.13?kcal, respectively. Furthermore, the estimated Tobit model result revealed that age of the household head, family size and off-farm and non-farm income positively affected extent of households food insecurity; whereas access to irrigation, farm income, distance to market and access to credit negatively affected the extent of households’ food insecurity. Moreover, the study also identified that reducing meal size, reducing frequency of meal served, working as a daily laborer and selling livestock’s were the top four main coping mechanisms opted against food insecurity and/or shortage. Therefore, to reverse the incidence, future interventions should focus on the aforementioned factors to build the capacity of households through enhancing their access to human, financial and physical capital.
机译:这项研究分析了埃塞俄比亚西部阿索萨地区家庭的粮食不安全状况及其决定因素,以及针对粮食不安全和短缺的应对机制。该研究使用加权记录法,连续7天使用了从276个随机选择的家庭中收集的每个样本的原始数据。此外,还使用了焦点小组讨论和关键知情人访谈。本研究采用描述性统计,粮食不安全指数和Tobit模型对数据进行分析。研究发现,在研究区域,粮食不安全的发生率为53.62%,粮食不安全的深度和严重程度分别为16.84%和7.32%。研究发现还指出,粮食不安全家庭的平均卡路里摄入量为1440.37kcal / AE /天,最小值和最大值分别为597.65kcal和2048.13kcal。此外,估计的Tobit模型结果表明,户主的年龄,家庭人数以及非农业和非农业收入对家庭粮食不安全的程度产生了积极影响。而获得灌溉的机会,农场的收入,距离市场的距离以及获得信贷的机会对家庭粮食不安全的程度产生了负面影响。此外,研究还发现,减少餐食量,减少进餐频率,日常工作和出售牲畜是抵制粮食不安全和/或短缺的四大主要应对机制。因此,为扭转这种情况,今后的干预措施应集中在上述因素上,以通过增加家庭获得人力,财务和物质资本的能力来建设家庭的能力。

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