家庭粮食不安全及应对策略:来自埃塞俄比亚阿姆哈拉北沃罗地区Lasta Wereda的视角

M. Gebremariam, Z. Ayalew, B. Gebremariam
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引用次数: 1

摘要

该研究旨在评估粮食不安全状况,确定粮食不安全的决定因素,并分析埃塞俄比亚阿姆哈拉州拉斯塔韦达地区农村家庭的应对策略。采用问卷调查法、焦点小组讨论法和关键信息提供者访谈法收集初步资料。采用三阶段抽样方法对研究区299户农户进行抽样调查。使用频率均值和标准差等描述性统计对数据进行分析。采用Tobit模型进行计量分析,确定粮食不安全的影响因素,采用Foster-Greer-Thorbecke模型指数估算粮食不安全的发生率、缺口和严重程度。人口普查比例显示,51.8%的抽样家庭被发现粮食不安全。据估计,粮食不安全的差距和严重程度分别为14.2%和6%。Tobit回归模型结果显示,农户规模、耕地规模、牲畜拥有量、耕牛拥有量、化肥使用量和农户自产粮食份额是研究区粮食不安全的重要决定因素。在粮食供应下降时,通常采取的应对策略包括出售牲畜以购买粮食、减少进餐数量和减少进餐频率。研究地区应高度加强计划生育、非农创收活动、畜牧业生产力和获得化肥。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Household Food Insecurity and Coping Strategies: A Perspective from Lasta Wereda, North Wollo Zone of Amhara, Ethiopia
The study aims to assess food insecurity, identify the determinants of food insecurity and analyze the coping strategies of the rural households in Lasta wereda, Amhara regional state of Ethiopia. Primary data were collected using questionnaire survey, focus group discussion and key informant interview. Three stage sampling technique was employed to select 299 rural households in the study area. Descriptive statistics such as frequencies mean and standard deviation was used to analyze the data. Econometric analysis of Tobit model was used to identify the determinants of food insecurity, and Foster-Greer-Thorbecke model indices were employed to estimate the incidence, gap and severity of food insecurity. The head count ratio revealed that 51.8 percent of sampled households were found to be food insecure. The gap and severity of food insecurity were estimated to be 14.2 and 6 percent respectively. The results of Tobit regression model showed household size, cultivable land size, livestock ownership, oxen ownership, use of chemical fertilizer and households share of own produced food were found to be significant determinants of food insecurity in the study area. Selling livestock to buy food, reducing the quantity of meals and reducing the frequency of meals were among the common coping strategies adopted at times of decline in food availability. Family planning, off-farm income generating activities, livestock sector productivity and access to chemical fertilizer should be highly strengthened in the study area.
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