A Comparative Study of the Impacts of Flooding on Food Security of Urban and Rural Households in Blantyre City and Chikwawa, Malawi

2021 ◽  
pp. 35-58
Author(s):  
Miriam Dalitso Kalanda Joshua ◽  
Tanya Stathers ◽  
Ruth Kalinga Chirwa ◽  
Cosmo Ngongondo ◽  
Richard Lamboll ◽  
...  
Keyword(s):  
Food Security ◽  
Comparative Study ◽  
Rural Households

Food insecurity transitions among rural households in Nigeria

2020 ◽  
Vol 39 (1) ◽  
Author(s):  
Oluwakemi Adeola Obayelu ◽  
Emem Ime Akpan
Keyword(s):  
Food Security ◽  
Secondary Education ◽  
Food Insecurity ◽  
Primary Education ◽  
Rural Households ◽  
Farm Size ◽  
Dependency Ratio ◽  
Male Adult ◽  
Access To Credit ◽  
Food Expenditure

Food insecurity dynamics of rural households in Nigeria was assessed using a panel data. Results showed that 44.4% of households that were food secure in the first panel transited into food insecurity in the second panel, while 32.5% that were mildly food insecure transited into food security. Furthermore, 25.7% transited from moderate food insecurity to food security, while 38.2% transited from severe food insecurity to food security. About 35.1% of households were never food insecure; 11.4% exited food insecurity 28.0% entered food insecurity; while 25.48% remained always food insecure. Having primary education, secondary education, dependency ratio, household size, share of non-food expenditure and farm size explained food insecurity transition. However, the likelihood of a household being always food insecure was explained by gender, female-to-male-adult ratio, marital status, primary education, secondary education, dependency ratio, share of non-food expenditure, farm size, access to credit and access to remittance.

scholarly journals Livelihoods and Food Security Among Rural Households in the North-Western Mount Kenya Region

2019 ◽  
Vol 3 ◽  
Author(s):  
Emily Mutea ◽  
Patrick Bottazzi ◽  
Johanna Jacobi ◽  
Boniface Kiteme ◽  
Chinwe Ifejika Speranza ◽  
...  
Keyword(s):  
Food Security ◽  
Rural Households ◽  
The North ◽  
North Western

scholarly journals Evaluation of Factors Influencing the Inclusion of Indigenous Plants for Food Security among Rural Households in the North West Province of South Africa

2020 ◽  
Vol 12 (22) ◽  
pp. 9562
Author(s):  
Abiodun Olusola Omotayo ◽  
Adeyemi Oladapo Aremu
Keyword(s):  
South Africa ◽  
Logistic Regression ◽  
Food Security ◽  
Food System ◽  
Rural Households ◽  
Binary Logistic Regression ◽  
Indigenous Plants ◽  
North West ◽  
The North ◽  
North West Province

Underutilised indigenous plants can support and strengthen the existing food system, as they are considered as socio-economically and environmentally appropriate. These plants generally adapt to marginal conditions, which is essential for a resilient agriculture and sustainable food systems. The current study relied on food security and indigenous plants data collected from some selected rural households from the North West Province of South Africa. The utilised data were collected through a multi-stage sampling technique with the aid of a pre-tested semi-structured questionnaire, while descriptive methods Foster–Greer–Thorbecke (FGT) and binary logistic regression were used for data analysis. The models produced a good fit for the data, and the computed F-value was statistically significant (p < 0.01). The study examined socio-economic and food security status based on the knowledge and the perception of indigenous plants by the households. The incidence of food insecurity (θ0) was 0.4060, indicating that 40.6% of the participants were food insecure while 59.4% were food secured. Binary logistic regression results indicate that factors such as age, gender, educational attainment, inclusion of indigenous plants in diet, food expenditure, and access in the study area impacted results. It was also evident that the participants had considerable knowledge of indigenous plants. However, these indigenous plants were not cultivated or included in the diet by the majority of the participants. The formulation of appropriate holistic policies that support the incorporation of the indigenous plants into the food system is recommended.

scholarly journals Seasonality and household diets in Ethiopia

2015 ◽  
Vol 19 (10) ◽  
pp. 1723-1730 ◽  
Author(s):  
Kalle Hirvonen ◽  
Alemayehu Seyoum Taffesse ◽  
Ibrahim Worku Hassen
Keyword(s):  
Food Security ◽  
Energy Intake ◽  
Rural Areas ◽  
Urban Areas ◽  
Dietary Diversity ◽  
Rural Households ◽  
Household Level ◽  
Rural And Urban ◽  
Per Capita ◽  
Nationally Representative

AbstractObjectiveTo revisit seasonality by assessing how household diets vary across agricultural seasons in rural and urban Ethiopia. The role of seasonality on the sources and intake of energy (per capita) and household dietary diversity score (HDDS) was analysed.DesignThe use of nationally representative household-level data collected each month over one year to study the seasonal changes in the sources and intake of energy and HDDS.SettingEleven regions of Ethiopia, including rural and urban settings.SubjectsTotal of 27 835 households were interviewed between July 2010 and July 2011 in all eleven regions of the country. On average each month saw 2300 household interviews, yielding nationally representative data for each calendar month.ResultsFor rural households, the mean daily per capita energy intake was 10 288 kJ (2459 kcal) in February (post-harvest period) and lower in the lean season: 9703 kJ (2319 kcal) in June (P<0·05) and 9552 kJ (2283 kcal) in July (P<0·001). HDDS for rural households was highest in February (6·73) and lowest in June (5·98; P<0·001) but high again in July (6·57). Urban energy intake was also lower in the lean season but HDDS varied less by season. Considerable seasonal variation was also found in energy sources in rural areas, less so in urban areas.ConclusionsHousehold diets in Ethiopia remain subjected to significant seasonal stress. HDDS and food security measured using energy intake do not always agree. Preferably, HDDS and energy intake data should be used together to assess food security.

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