Tefera Setiye Abebaw, Tadesse Teshome Betru, Asmare Getachew Wollie
Samara University, Department of Natural Resources Management, P.O. Box 132, Semera, Ethiopia.
Samara University, Department of Economics, P.O. Box 132, Semera, Ethiopia.
Sci Afr. 2022 Jul;16:e01141. doi: 10.1016/j.sciaf.2022.e01141. Epub 2022 Mar 11.
The COVID-19 pandemic is a global problem that confronted the economy and household food security of many countries. This study aimed to analyze the determinants of a household's food insecurity status in the era of the COVID-19 pandemic in Ethiopia. A panel data of 2,410 households in a six-round High-Frequency Phone Survey were retrieved from the World Bank database. The product of the corresponding pairwise severity weight and household responses to each coping strategy was summed up to get the individual's Coping Strategy Index. The Random Effect Model (REM) for panel data analysis was used to identify factors associated with household-related food insecurity during the COVID-19 pandemic. The descriptive statistics result shows that 18.63% and 11.08% of rural households and 56.55% and 38.13% of urban residents were food secure in the first and sixth rounds, respectively. On the contrary, 3.65% and 3.2% of rural households and 6.8% and 7.18% of urban households experienced severe food insecurity from the first to the sixth round, respectively. Most households have maintained their food security in urban areas than rural residents. However, the number of food secure households was gradually reduced from Round-1 to Round-6. Besides, REM output indicates that access to financial services, farm income, wage employment, income from property, investment, and savings, and NGO assistance negatively affected household's food insecurity. Whereas government support showed a positive association with households' food insecurity. Based on the findings, we recommend that households should adopt the behavior of enhancing and diversifying their sources of income, and the government also emphasize the establishment of national social security services by taking experience from NGOs' emergency response mechanisms.
新冠疫情是一个全球性问题,它给许多国家的经济和家庭粮食安全带来了挑战。本研究旨在分析埃塞俄比亚新冠疫情时代家庭粮食不安全状况的决定因素。从世界银行数据库中检索了六轮高频电话调查中2410户家庭的面板数据。将相应的成对严重程度权重与家庭对每种应对策略的反应的乘积相加,以获得个人的应对策略指数。采用面板数据分析的随机效应模型(REM)来确定新冠疫情期间与家庭粮食不安全相关的因素。描述性统计结果显示,在第一轮和第六轮中,分别有18.63%和11.08%的农村家庭以及56.55%和38.13%的城市居民粮食安全。相反,从第一轮到第六轮,分别有3.65%和3.2%的农村家庭以及6.8%和7.18%的城市家庭经历了严重粮食不安全。与农村居民相比,大多数城市家庭维持了粮食安全。然而,粮食安全家庭的数量从第一轮到第六轮逐渐减少。此外,随机效应模型的结果表明,获得金融服务、农业收入、工资就业、财产收入、投资和储蓄以及非政府组织的援助对家庭粮食不安全有负面影响。而政府支持与家庭粮食不安全呈正相关。基于这些发现,我们建议家庭应采取增加和多样化收入来源的行为,政府也应借鉴非政府组织的应急机制经验,强调建立国家社会保障服务。