COVID-19 outbreak and rural household food security in the Western Democratic Republic of the Congo

Drivers and magnitude of food insecurity among rural households in southern Democratic Republic of Congo

Access to adequate and nutritious food is accepted as a human right worldwide. In the Democratic Republic of Congo (DRC), Kasai Oriental province is one of the most vulnerable provinces in the country in terms of food insecurity. However, its current depth of food insecurity and the root factors have not been studied. Against this background, this study used cross-sectional data from 318 households to analyze the magnitude and socioeconomic drivers of food insecurity among rural households in the province. We developed two food security indicators: the food consumption score (FCS) and household food insecurity access scale (HFIAS), and applied the ordinary least square (OLS) and the negative binomial model for the analysis. Our findings show that households rely mainly on vegetables to meet their food need, consume more energy, and have limited access to protein, vitamin, and fat-rich foods. All the surveyed households were deficient in food quantity, while 75 % were deficient in quality. The study noted that the severity of food insecurity is zone-specific and more pronounced in the Kabeya Kamwanga territory than in others. Importantly, the poverty and education levels among households associated with large household sizes were the significant determinants of food insecurity in the area. These results strongly demonstrate the need for agrifood interventions that foster education, enable efficient land use, and target poor households in the province.

Does the female-headed household suffer more than the male-headed from Covid-19 impact on food security? Evidence from Ethiopia

Covid-19 pandemic and accompanying policy measures affected women's economic and social lives differently from men. However, its effect on the food security situation of women and men remains unclear. This study investigated whether female-headed households suffer more from covid 19 impact on food security than male-headed households in Ethiopia using the World Bank High Frequency Phone Survey data. Food Insecurity Experience Scale (FIES) is applied to measure food insecurity and multilevel-mixed effect random intercept linear model is used to analyze the determinants. The survey data show that, during the pandemic in 2020, nearly 27% of households face moderate or severe food insecurity and close to 6% face severe food insecurity. Regression results revealed that the pandemic and accompanying policy measures affected food security of female-headed households differently from male-headed households. The likelihood of female-headed households experiencing moderate or severe food insecurity is significantly higher by 5.7% points than male-headed households. Education level of the household head is the critical determinant of women's food insecurity. Every additional year of education of female heads has a significantly higher impact in reducing the likelihood of experiencing food insecurity than that of male-headed households. It is also found that having access to basic food items reduces the likelihood of facing moderate or severe food insecurity by 7.4% points. Besides, education level of the household head, income change and family size are critical determinants for food insecurity of the sample households. It is recommended that stakeholders and policy makers focus in the gender aspect while designing policy measures to control pandemics and fucus on improving accessibility of basic needs such as food items to all.