Assessing food security status among farming households in Ibadan metropolis, Oyo state, Nigeria.

Author(s):  
BF Salahu ◽  
TO Dauda
2014 ◽  
Vol 59 (3) ◽  
pp. 353-361 ◽  
Author(s):  
Kemi Omotesho ◽  
Azeez Muhammad-Lawal ◽  
Damilare Ismaila

This study examined the relationship between hired labour use and food security among rural farming households in Kwara State, Nigeria. It determined the food security status of rural farming households and investigated the determinants of hired labour use. A four-stage random sampling technique was used to select 135 rural farming households from which data were collected with the use of a well-structured questionnaire. Descriptive statistics, correlation analysis and the Tobit regression model were the analytical tools used for the study. The study revealed that only about half of the households (51.1%) were food secure and that there is a positive correlation between the hired labour use and their food security status. Dependency ratio, age and educational qualification of the household head, total household size, and household income significantly influenced hired labour use (p<0.01). The study recommends the need for agricultural credit schemes in Nigeria to accord higher priority to older farmers and poor rural households. In addition, extension education which emphasizes agriculture as a business rather than a mere way of life should be promoted among farmers.


Author(s):  
Shehu Abdulganiyu SALAU

Food insecurity is fast becoming a key topic in economic growth and development. Hence, this study examined food security status before and after youth migration and assessed the effect of youth migration on food security among farming households. A two-stage sampling technique was employed to obtain data from 240 respondents. The data were analyzed using descriptive statistics, likert scale, food security index and binary logistic regression. The result revealed that most (86.3%) of the respondents were males with an average age of 48.5years. The reasons behind youth migration are poor roads, the search for white collar jobs and laborious nature of farming. Furthermore, the average yield before and after youth migration were 1879.8 kg/ha and 884.1kg/ha grain equivalent respectively. Moreover, 61.7% and 38.3% of the households were food secure and food insecure before youth migration respectively. Worst still, after youth migration, 70% of the households were food insecure while 30% were food secure. The ratio of rural youth migrants to household size, crop yield difference, level of education, household size, food crop losses, quantity of cereals consumed, quantity of legume consumed, quantity of root and tuber crops consumed and access to remittances were the variables explaining food security in the area. Governments at all levels should provide basic infrastructural facilities in the rural areas to encourage youth to stay at home. Youth should be enlightened on the negative consequences of migration. Policies towards reducing household size should be encouraged to raise food security of households


Author(s):  
Shehu Abdulganiyu SALAU

Suboptimal land management practices (SLM) are degrading soils and undermining food security. Despite this, there is scant information regarding households’ decision towards the effect of food security on SLM technologies. This paper, therefore, measured food security status and assessed the effect of food security on SLM technologies. Structured interview schedule was used to gather data for this study. A three-stage sampling procedure was employed for this study. Two out of the four ADP zones were randomly selected in the first stage. This was followed by a proportionate selection of 30 villages from the two selected zones. Lastly, ten farming households each, were picked randomly from the chosen villages to make up a sample size of 300 farming households. The result revealed that the calculated MPCFE was ₦4218.587 and the proportion of food secure and food insecure households are 37.7% and 62.3% respectively. The findings affirmed that much opportunities exist for increasing productivity and income through increased adoption of SLM technologies among the food insecure households when compared with their food secure counterparts. The R2 value of 29.8% suggests that the explanatory variables explained about 30% of the variation in the explained variable. Furthermore, the factors influencing SLM technologies of households are food security status, family size, monthly income and plot size. This study provides useful insight into policies and actions taken by farmers and government to mitigate the effects of suboptimal use of SLM technologies for improved production and food security. Policies favoring increased plot size should be vigorously pursued.


2016 ◽  
Vol 13 (2) ◽  
pp. 273-281 ◽  
Author(s):  
K Akhi ◽  
MT Uddin ◽  
MM Islam

The study was conducted to assess the food security status of pond fish farming under NGO supported and own managed and to evaluate the influential factors of NGOs’ intervention on pond fish farmers’ food security in two districts of Bangladesh. Random sampling technique was used to select farmers from two groups of pond fish farming: one is NGO supported and another is own managed farmers. A total of 120 farmers (60 for NGO supported and 60 for own managed) were selected for data collection. To identify the factors influencing the food security status of fish farming households, a food security index (Z) was constructed and food security status of each household was determined based on the food security line using the recommended daily calorie intake approach. Logit model was used to estimate the food security status of households as a function of a set of independent determinants. Based on the recommended daily calorie intake of 2122 kcal, it is observed that 95 percent of the households were food secure and 5 percent households were food insecure in case of NGO supported fish farmers. On the other hand, 30 percent of the households were food secure and 70 percent households were food insecure in case of own managed fish farmers. The result of logit model shows that six out of eight variables included in the model were significant in explaining the variation in food security status. These variables were: age of the household head, education level of the household head, farm size, intervention on fish farming, income from fish and non-farm income. The study, therefore, recommended improved access to technical supports of pond fish farming households is necessary to ensure food security status at the national level.J. Bangladesh Agril. Univ. 13(2): 273-281, December 2015


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