A gender perspective on the impact of flood on the food security of households in rural communities of Anambra state, Nigeria

Ajaero, Chukwuedozie K.

doi:10.1007/s12571-017-0695-x

Cited by 35 publications

(28 citation statements)

References 21 publications

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“…This also explains why single persons were more food secure than their married counterparts. This finding is in agreement with the findings of Idrisa et al (2008), Asogwa and Umeh (2012), Aidoo et al (2013), Sekhampu (2013), Ibok Bassey et al (2014, Mutinda (2015); Djangmah (2016); Goshu (2016) and Dawit and Zeray (2017), but contradicts the findings of Oluoko-Odingo (2006) and Ajaero (2017) who found households with higher number of dependants to be more food secure. The odds ratio of .034 implies that, for every increase in number of dependants in a household, there is .034 times of that household becoming food insecure (Table 3).…”

Section: Dependency Ratio Of Householdsupporting

confidence: 88%

“…The findings also revealed that households were 1.716 times more likely to be food secure with each unit increase in level of education (Table 3). The result is in tandem with Tefera and Tefera (2014), Wiranthi et al (2014), Mutinda (2015, Ajaero (2017) and Dawit and Zeray (2017), but contrary to Yusuf et al (2015) and Djangmah (2016), who found food security to decrease with increasing number of years spent in education in Nigeria and Northern region of Ghana respectively.…”

Section: Level Of Education Of Head Of Householdmentioning

confidence: 81%

“…There exists extant literature on the determinants of household food security classified into demographic, socio-economic and physical factors such as; sex and age of head of household, household size, land holding (farm size), membership to agricultural cooperative, climatic adaptation, agricultural technology, shocks, distance to the market, income diversification, household asset index, sufficiency in own food production, dependency ratio, farm size, income, level of education, livestock ownership, credit access, marital status (Arene and Anyaeji, 2010;Bashiri et al, 2012;Ahmed and Dotti, 2014;Welderufael, 2014;Habyarimana,2015;Djangmah, 2016;Goshu, 2016;Ndakaza et al, 2016;Ajaero, 2017;Dawit and Zeray, 2017;Ogundari, 2017). The adopted determinants of household food security status for this study were drawn from the extant literature and observations taking into cognizance that the study area is generally agrarian and has comparative advantage in the production of crops like potatoes, yams, maize and cassava (staples) in Nigeria.…”

Section: Introductionmentioning

confidence: 99%

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Household food security and its determinants in agrarian communities of southeastern Nigeria

Akukwe¹

2020

Agro-Sci.

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The study investigated household food security (food accessibility) and its determinants in eight agrarian communities of Southeastern Nigeria where food accessibility was measured using per capita monthly food expenditure, and households were classified into food secure and food insecure. Four hundred (400) households were selected using stratified and random sampling methods. The results revealed that the categorization of households into either food secure or food insecure was a function of money spent on food monthly and household size, making household food security status differ within and across households and communities. The general findings revealed that majority (53.5%) of households were food insecure while 46.5% were food secure. Oguta community was revealed as the most food secure because majority of her households (68%) recorded relatively high per capita monthly food expenditure coupled with small household sizes while the reverse is the case with Ossomala community where 67.2% of households were food insecure. The Logistic regression analysis run to show the relationship between food security status and 23 predictors drawn from literature and observation, showed that only five were significant (p < 0.05) namely (with their coefficients) marital status (−0.347), level of education (0.540), monthly income (1.719), dependency ratio (−3.385) and distance to market (−0.880). The direction of their regression coefficients revealed that households headed by unmarried persons with higher level of education and monthly income as well as with fewer dependants were more food secure, and food security decreased with increasing distance to market in Southeastern Nigeria.

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Section: Dependency Ratio Of Householdsupporting

confidence: 88%

Section: Level Of Education Of Head Of Householdmentioning

confidence: 81%

Section: Introductionmentioning

confidence: 99%

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Household food security and its determinants in agrarian communities of southeastern Nigeria

Akukwe¹

2020

Agro-Sci.

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“…129 Several studies have shown that social, economic and environmental factors affect food security. Socio-economic factors such as income, household size, credit access, livestock ownership, level of education, farm size, sex, age of head of household, marital status (Ahmed and Dotti, 2014;Djangmah, 2016;Goshu, 2016;Ajaero, 2017;Dawit and Zeray, 2017) and environmental factors such as climate change, soil fertility, drought and flooding (Nzeadibe et al, 2011;Emaziye et al, 2013;Yaro, 2013) all define level of food security. Flooding as an environmental factor affecting food security has not been extensively studied in South-eastern Nigeria, even though Ramakrishna et al (2014) and Zakari et al (2014) found flooding to have negative impacts on food security in India and Niger Republic, respectively.…”

Section: Introductionmentioning

confidence: 99%

Do floods affect food security? A before-and-after comparative study of flood-affected households’ food security status in South-Eastern Nigeria

Akukwe

Oluoko-Odingo

Krhoda

2020

Bulletin of Geography. Socio-Economic Series

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A comparative study of pre- and post-flood households’ food security statuses in South-Eastern Nigeria was performed to answer the question “Do floods affect food security?” Data were generated via a survey of 400 households in eight communities using stratified and random sampling methods. Households’ food security statuses were assessed using the Household Food Security Survey Module (HFSSM) and computed using a Rasch analysis, where households were divided into four categories, namely: food secure, food insecure without hunger, moderately food insecure with hunger and severely food insecure with hunger. The results show that flooding affects food security negatively by increasing the number of food insecure households to 92.8%, and the regression coefficient of −0.798 indicates a very strong negative effect of flooding on household food security. An odds ratio of 2.221 implies that households that have experienced flooding are 2.221 times more probable to be food insecure than households that have not. The implication of the findings is that flooding is capable of turning communities into food insecurity hotspots that would need long-term assistance to cope, and flooding is capable of hampering the achievement of Goal 2 of the SDGs.

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“…Flood is among the most devastating natural disaster in Nigeria since the 1980s (Ologunorisa, 2004;Egbinola et al, 2017;Ajaero, 2017). The 2012 floods in Nigeria affected 27.9% of yam, 21.6% of cassava, 17.2% of sweet potato, 31.4% of rice, 20.1% of maize, and 14% of sorghum-producing areas of Benue Trough (Ade, 2018).…”

Section: Introductionmentioning

confidence: 99%

Empirical Model Valuation of Urban Agriculture Vulnerability to Flooding in Makurdi, Benue State, Nigeria

Kunda¹,

Jajere²,

Otabe³

et al. 2021

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For this study, geospatial technology was used to assess agricultural lands vulnerable to flooding in Makurdi, Benue State, Nigeria. Six thematic layers of factors influencing flood occurrences in the study area were generated from monthly rainfall, land use/cover, drainage density, soil, digital elevation model and slope. Pairwise comparison of the Analytical Hierarchy Process was used to derive the weights for each factor using expert’s judgements and literature. Weighted overlay model from the spatial analysis tool in the ArcGIS 10.4 environment was used to perform the vulnerability modelling. Expert’s judgement on the relative factors influencing flood in the study area was: rainfall (25%), elevation (22%), slope (20%), drainage density (13%), soil type (8%) and land use/cover (12%). The consistency ratio of the analysis was reasonable: (CR= 0.078). Results from the model demonstrated land vulnerability to urban agricultural flooding in the study area ranging from areas of very highly vulnerable to very low vulnerable areas, with farmlands along the floodplains of River Benue falls within the very highly vulnerable areas. The elements at Risk are; Farmland 537.6 (66.1%), Irrigation Land 40.5 (5.0%) and Built-up Land 125.8 (15.5%).

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A gender perspective on the impact of flood on the food security of households in rural communities of Anambra state, Nigeria

Cited by 35 publications

References 21 publications

Household food security and its determinants in agrarian communities of southeastern Nigeria

Household food security and its determinants in agrarian communities of southeastern Nigeria

Do floods affect food security? A before-and-after comparative study of flood-affected households’ food security status in South-Eastern Nigeria

Empirical Model Valuation of Urban Agriculture Vulnerability to Flooding in Makurdi, Benue State, Nigeria

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