Food Security Determinants among Urban Food Crop Farming Households in Cross River State, Nigeria

Ibok, Otu W.; Bassey, Nsikan Edet; Atairet, Elizabeth A.; Obot, Oto-obong J.

doi:10.9734/ajaees/2014/6560

Cited by 13 publications

(9 citation statements)

References 7 publications

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“…The male-head household are more likely to experience food insecurity than women. The result contrary to the previous study (Lawson, 2014;Ibok et. al, 2014) that found the female-head household likely face the food insecurity.…”

Section: Resultscontrasting

confidence: 99%

“…Household food security is positively affected by variables: male households' heads, household members with agricultural and allied jobs, age of household head, percentage of irrigation area, number of livestock owned by households, and operator owners. Female-headed households are more vulnerable to food insecurity compared to male households heads (Ibok et al, 2014;Zakari, Ying & Song, 2014;Joshi & Joshi, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Household Food Security: Evidence From South Sumatera

Azwardi

Widyasthika

Saleh

et al. 2019

jejak

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This study aims to determine the phenomenon of food security in South Sumatra Province. Food security is calculated using Shortfall/Surplus Index and Head Count Ratio. Binary Logistic Regression method is used to determine factors affecting food security. This study obtains data from National Socio-Economic Survey on March 2017 regarding average number of calories consumed by household per day, socio-economic characteristics of household, and household heads in South Sumatra. The Survey used total sample of 9,752 households consisting of 3,099 urban households and 6,653 rural households. The results of the study shows that using 2,100 kcal standard limit, most of districts in South Sumatra have entered safe food security limit. However, they have not entered safe food security limit using 2,500 kcal standard limit. Factors that affect household food insecurity in South Sumatra Province are caused by the number of household members and the education of household heads.

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Section: Resultscontrasting

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Household Food Security: Evidence From South Sumatera

Azwardi

Widyasthika

Saleh

et al. 2019

jejak

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show abstract

“…This could be linked to increased pressure on household resources (such as food) as household size increases, which may make such households to be food insecure. This is in line with the findings of Ibok et al (2014) which explained that large size households tend to be more food insecure than small size households.…”

Section: Impact Of Determinantssupporting

confidence: 92%

Fish Output and Food Security under Risk Management Strategies among Women Aquaculture Farmers in Ondo State, Nigeria

Oparinde

2019

AOL

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This study examined the impact of risk management strategies' adoption on fish output and food security among women aquaculture farmers in Ondo State, Nigeria. Multistage sampling procedure was used to select 90 respondents. Endogenous switching regression model and recursive bivariate probit model were employed to carry out the impact analysis. The empirical findings revealed that farmer's age, household size, education, non-farm income, pond system, quantity of feed, credit constraint, and risk attitude significantly influenced risk management strategies' adoption. Moreover, adoption of risk management strategies increased fish output and reduced food insecurity among women aquaculture farmers. In conclusion, adoption of risk management strategies is capable of enhancing fish output and reducing food insecurity. Therefore, development agents should encourage women aquaculture farmers to adopt risk management strategies in order to have increased fish output and reduced food insecurity which can help in bridging fish supply-demand gap and reducing their level of vulnerability.

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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: 87%

“…The regression result revealed a significant (5%) positive relationship between the level of education of households' heads and households' food security, meaning that food security increases with higher level of education ceteris paribus. Education, according to Ibok Bassey et al (2014), is a social capital which influences people's nutritional and production decisions; so it is explanatory when households headed by persons with higher level of education were found to be more food secure in the study area. 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).…”

Section: Level Of Education Of Head Of Householdmentioning

confidence: 99%

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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Food Security Determinants among Urban Food Crop Farming Households in Cross River State, Nigeria

Cited by 13 publications

References 7 publications

Household Food Security: Evidence From South Sumatera

Household Food Security: Evidence From South Sumatera

Fish Output and Food Security under Risk Management Strategies among Women Aquaculture Farmers in Ondo State, Nigeria

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

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