Department of Agricultural Economics, Faculty of Resource of Management and Economics, Shambu Campus, Wollega University, Nekemte, Ethiopia.
ScientificWorldJournal. 2022 Aug 9;2022:1316409. doi: 10.1155/2022/1316409. eCollection 2022.
Most of the sub-Saharan African countries including Ethiopia were affected by the food insecurity issue. This study aimed to analyze the drivers of food insecurity, the choice of livelihood strategies, and factors that impact the choices of food security strategies in response to food insecurity in Abay Chomen District of Ethiopia's Oromia region, Ethiopia. The result of this study is based on primary data and obtained from 150 randomly chosen sample households and secondary data generated from various sources. As for the technique of data analysis, this study employed descriptive statistics for the food insecurity index, as well as a binary logistic model and a multinomial logit model for the choice of household livelihood techniques. The findings of the survey showed that 51.3% of the households were found to be food-insecure and 48.7% food-safe in the study area. Furthermore, the result indicated that the average calorie consumption of the households surveyed was 2008.54 kcal for each adult equivalent per day, which is below the lowest calorie necessity of 2200 kcal. The estimated logistic model outcome on the drivers of household food insecurity confirmed the oldness of the household leader, larger family holder, and off-farm income affects negatively, while the gender of the household leader, the size of the built-up area, the number of livestock holdings (except oxen), the number of oxen owned, access to credit, the participation in the sale of cattle, and others affect positively. In addition, the multinomial logit model result indicates that the educational status of the household leader, the size of livestock farming, the number of oxen possessed, access to credit, remoteness to the market, and monthly agricultural earning are the main drivers of the choice of livelihood strategies of concern for the food insecurity of households. As a result, this research attempted to produce a result of analysis with a defined scope, although many questions remain unsolved. Future studies should concentrate on presenting fundamental data on the factors that affect food security status and livelihood strategy, the social, political, natural, and environmental aspects, the descriptive information on the shopping habits of people who experience food insecurity, and the key aspects that increase the vulnerability of the rural poor to food insecurity.
大多数撒哈拉以南非洲国家，包括埃塞俄比亚，都受到了粮食不安全问题的影响。本研究旨在分析埃塞俄比亚奥罗米亚地区阿巴伊乔门区粮食不安全的驱动因素、生计策略选择以及影响粮食安全策略选择的因素。这项研究的结果基于主要数据，这些数据是从 150 个随机选择的样本家庭中获得的，而次要数据则来自各种来源。至于数据分析技术，本研究对粮食不安全指数采用了描述性统计方法，对家庭生计技术选择采用了二元逻辑模型和多项逻辑模型。调查结果表明，在研究区域内，51.3%的家庭被认为处于粮食不安全状态，48.7%的家庭处于粮食安全状态。此外，结果表明，被调查家庭的平均卡路里摄入量为每个成年人每天 2008.54 卡路里，低于最低卡路里需求 2200 卡路里。家庭粮食不安全驱动因素的估计逻辑模型结果证实，家庭领导人的年龄、较大的家庭持有者和非农业收入对家庭粮食不安全产生负面影响，而家庭领导人的性别、建筑区域的大小、牲畜持有量（除了牛）、拥有的牛的数量、获得信贷的机会、参与牛的销售以及其他因素对家庭粮食不安全产生积极影响。此外，多项逻辑模型结果表明，家庭领导人的教育程度、畜牧业规模、牛的数量、获得信贷的机会、远离市场的距离以及每月农业收入是家庭粮食不安全生计策略选择的主要驱动因素。因此，本研究试图在明确的范围内产生分析结果，尽管仍有许多问题尚未解决。未来的研究应集中于提供影响粮食安全状况和生计策略的因素、社会、政治、自然和环境方面、经历粮食不安全的人的购物习惯的描述性信息以及增加农村贫困人口对粮食不安全的脆弱性的关键方面的基本数据。
