scholarly journals ANALYSIS OF THE DETERMINANTS FOOD INSECURITY AND POVERTY STATUS AMONG FARMING HOUSEHOLDS IN OSUN STATE, NIGERIA

2016 ◽  
Vol 5 (3) ◽  
pp. 729-739
Author(s):  
AMAO J O ◽  
FANIFOSI G E
Keyword(s):  
Food Insecurity ◽  
Sampling Procedure ◽  
Farm Size ◽  
Food Away From Home ◽  
Unit Increase ◽  
Poverty Status ◽  
Small Holding ◽  
Food Expenditure ◽  
Post Harvesting ◽  
Farming Households

Poverty and food shortage form the basis of food insecurity in the world, and this is well pronounced in sub-Sahara Africa where most farming households live on less than US$1.25perday. A multistage random sampling procedure was used to select and interview 276 households. Data collected were analysed through the use of descriptive statistics, Foster, Greer and Thorbecke (FGT, 1984) poverty and food insecurity indices and Multinomial logit regression model.The study revealed that most of the respondents were older and aged between 51-60 years with a mean age of 55 years. Most of the farmers were married 79.85%, the mean households size was approximately 7 members. Also, during post harvesting season, households size (1%), home food production 1% and food-away-from-home 1% were positively significant which implied that a unit increase in households size, home production and food-away-from home, the probability of households to be food insecure/non-poor, food insecure/poor respectively will increase relative to food secure/non-poor, while in postplanting season, households size 1%, income 1%, farm size 5%, infrequently non-food expenditure 1% and food-away-from-home 1% were significant, this implied that in a unit increase in households size, income, infrequent non-food expenditure and food-away-from home, the probability of households to be food insecure/non-poor, food insecure/poor respectively will increase relative to food secure/non-poor. The study concluded that male headed households with small holding farm size, spending much on food-away-from-home and too much non-food expenditure might lead to food insecurity and poverty in the study area.

scholarly journals Assessing Food Insecurity and Its Drivers among Smallholder Farming Households in Rural Oyo State, Nigeria: The HFIAS Approach

Agriculture ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1189
Author(s):  
Olutosin A. Otekunrin ◽  
Oluwaseun A. Otekunrin ◽  
Barbara Sawicka ◽  
Piotr Pszczółkowski
Keyword(s):  
Food Insecurity ◽  
Sampling Procedure ◽  
Farm Size ◽  
Farm Income ◽  
Smallholder Farming ◽  
Cross Sectional ◽  
Piped Water ◽  
Multi Stage ◽  
Food Security Status ◽  
Farming Households

Hunger and food insecurity take center stage in most debates in Africa, and in recent times with serious concerns about Nigeria. This study assessed food insecurity among farming households in rural Oyo State, Nigeria, using cross-sectional datasets from 211 farming households through a multi-stage sampling procedure. The Household Food Insecurity Access Scale (HFIAS) module was employed in assessing food insecurity status of farming households, and the ordered logit model (OLM) was used to analyze factors influencing food insecurity among farming households. The results revealed that 12.8% of the farming households were food secure while 87.2% had varying levels of food insecurity. The OLM results indicated that age, household head’s years of schooling, gender, farm size, farm experience, non-farm income, food expenditure, and access to extension service significantly influenced food insecurity among farming households. Based on the findings, efforts should be geared towards promoting households’ education-related intervention programs in order to improve their nutrition-related knowledge that can enhance their food security status. Additionally, there should be provision of rural infrastructural facilities such as piped water, rural electrification, and healthcare service that promote healthy living and enhance households’ agricultural productivity.

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 Decomposition Analysis of Poverty among Rural Farming Household in Oyo State, Nigeria

2021 ◽  
pp. 77-85
Author(s):  
Adeleye Ifeoluwa A. ◽  
Obabire Ibikunle E. ◽  
Fasuan Yetunde O. ◽  
Babadiji Abike O.
Keyword(s):  
Poverty Reduction ◽  
Decomposition Analysis ◽  
Poverty Line ◽  
Structured Interview ◽  
Sampling Procedure ◽  
Household Size ◽  
Farm Size ◽  
Income Poverty ◽  
Low Literacy ◽  
Farming Households

The incidence of poverty in Nigeria is worrisome, and it has constituted a national menace. The occurrence of poverty incidence had been found to be more pronounced among Rural farming households in the country. However, paucity of data exists in terms of decomposition of household poverty into relevant subgroups using their socio-economic characteristics. Therefore, this paper assessed the decomposition analysis of poverty among rural farming Households in Oyo State, Nigeria using the data collected through a well-structured interview schedule from 170 respondents who were selected through a multi-stage sampling procedure. Data collected were described using frequency counts and percentage while poverty Indices was analyzed using Foster-Greer Thorbecke model and Decomposition analysis. The findings revealed that higher proportion (73.5%) of the respondents were above 40 years, 65.3% were male, 78.2% were married and 27.6% had secondary education, while 62.4% had household size of between 5 and 9 persons. Majority (79.4%) had farm size of more than 1.5 hectares and 62.9% had no access to remittance. Poverty incidence (P0) was 40.59%, Poverty depth/gap (P1) was 16.11% and Poverty severity (P2) was 0.09%, among the respondents using income-poverty line measure. Decomposition analysis showed that Poverty was high among households that were headed by male, young with low literacy level, and large household size. The severity of poverty was higher among households headed by labour of other farms. Effective poverty reduction strategies should therefore focus on education, livelihood diversification and control of household size.

scholarly journals Profit Efficiency and Poverty Status of Farmers in Selected Rice Growing Communities in Cross River State, Nigeria

2019 ◽  
pp. 1-12
Author(s):  
Idiong C. Idiong ◽  
Michael A. Iko
Keyword(s):  
Educational Level ◽  
The State ◽  
Farm Size ◽  
Rice Farming ◽  
Profit Efficiency ◽  
Cross River ◽  
Cross River State ◽  
Rice Farmers ◽  
Poverty Status ◽  
Farming Households

Aim: This study analyzed the profit efficiency and poverty status of rice farmers in selected rice growing communities in Cross River State, Nigeria. Methodology: The multistage random sampling was used to select rice farming households in the study area. Primary data were collected by means of questionnaire. The mean per capita household expenditure (MPCHHE) and the P-alpha measures of poverty were used for the measurement of poverty while the Stochastic Profit Frontier (SPF) was used to obtain the efficiency estimates and determinants among the rice farming households. The logit regression model was also used to show the effect of some factors on poverty status of the rice farmers. Results and Discussion: The results showed that, out of the 64.32% of the farmers who were generally poor, 40.85% and 23.47% of them were assessed to extremely and moderately poor respectively. The incidence, depth and severity of poverty were 65.32%, 27.84% and 16.38% respectively. The study further showed that profit efficiency ranged between 0.34 and 1.0 with mean efficiency of 0.73, suggesting that there are opportunities for rice farmers in the State to increase their farm income with a view of reducing their poverty levels. The result indicate that educational level, farm size and efficiency negatively influenced poverty while sex, age, educational level, farm size, household size and farming experience were the main determinants of profit efficiency. Inadequate credit access, capital and supply of farm inputs; high cost of labour, poor marketing outlets, and near absence of modern processing facilities were the rice production constraints. Conclusion and Recommendations: The study has shown that rice farmers in the State were majorly poor and relatively efficient with opportunities for improvement. To improve the profit efficiency of rice farmers and reduce their household poverty status would require addressing some vital policy indicators that influenced them. Such policies should encourage experienced rice farmers to remain in production, the raising of the level of education of the poor through adult education, and provision of single digit interest loans and input subsidies to enable the farmers increase their farm sizes.

Food insecurity transitions among rural households in Nigeria

2021 ◽  
Vol 39 (2) ◽  
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.

Food-Poverty Status and Food Insecurity in Rural West Lombok Based on Mothers' Food Expenditure Equivalency

2007 ◽  
Vol 28 (2) ◽  
pp. 135-148 ◽  
Author(s):  
Tina Rosalina ◽  
Lindawati Wibowo ◽  
Arnfried A. Kielmann ◽  
Avita Aliza Usfar
Keyword(s):  
Food Insecurity ◽  
Poverty Status ◽  
Food Expenditure

scholarly journals Effect of Food Expenditure on Farming Households’ Welfare in Osun State, Nigeria

2019 ◽  
Vol 52 (1) ◽  
pp. 79-90
Author(s):  
R.O. Babatunde ◽  
A.E. Omoniwa ◽  
A.O. Adekunle ◽  
G.T. Oyeleke
Keyword(s):  
Food Insecurity ◽  
Agricultural Policies ◽  
Human Welfare ◽  
Nutrition Security ◽  
Food Items ◽  
Farm Mechanization ◽  
Food Expenditure ◽  
Effect Of Food ◽  
Analytical Tools ◽  
Farming Households

Abstract Food and nutrition security remain Africa’s most fundamental challenge for human welfare and economic growth. In this study, recent survey data from Osun State, Nigeria, was used to examine the effect of food expenditure on farming households’ welfare in Nigeria. Logistic and OLS regression models were the analytical tools used. Food Insecurity Gap (FIG) and Squared Food Insecurity Gap (SFIG) were used to capture the severity of food insecurity among the households. The results showed that, all households sampled consume rice, beans, vegetable, fish and oil as basic food items, while only 32% of them consume potatoes. The regression results showed that the household size, per capita income, dependency ratio and age were the highly significant factors influencing food expenditure. However, the coping strategy that was mostly adopted by the farmers in the study area was to cut down on the numbers of food items consumed. Therefore, it was recommended that farm mechanization should be encouraged for optimal land use and productivity. In all, promoting agricultural policies with appropriate price incentives that focus on intensification, diversification and resource-stabilizing innovations will create more wealth for all categories of farming households and this in turn will ensure food security, especially in an era of economic deregulation.

scholarly journals Poverty and its Alleviating Strategies among Rural Farming Households in Benue State, Nigeria

2021 ◽  
Vol 21(36) (2) ◽  
pp. 33-44
Author(s):  
Samuel Upev ◽  
Amurtiya Michael ◽  
Shuaibu Mshelia ◽  
Justice Onu
Keyword(s):  
Social Protection ◽  
Household Head ◽  
Sampling Technique ◽  
Poverty Measurement ◽  
Farm Size ◽  
Binary Logistic Regression Model ◽  
Poverty Status ◽  
The Government ◽  
Household Heads ◽  
Farming Households

The study analysed rural farming households’ poverty status and alleviating strategies in Benue State, Nigeria. The specific objectives of the study were to: describes the rural household heads’ socio-economic characteristics; determine the poverty status of the respondents and its determinants; and identify poverty alleviating strategies of the respondents. Data for the study was collected from 420 respondents selected using a multi-stage sampling technique. Data collected were analysed using descriptive statistics, the Foster-Greer-Thorbecke poverty measurement index, and the Binary Logistic regression model. The findings of the study revealed a very high incidence of poverty (70%), having a gap of 0.34, and severity of 0.17. Poverty in the area is positively associated with the age of the household head and household size, while gender, educational level, off-farm activity, membership of a group, farm size, and land ownership are negatively associated with poverty. The common poverty alleviation strategies identified were agricultural wage labour (48.6%), rental services (45.0%), and transportation business (36.7%). Therefore, it was recommended that the government and other stakeholders should initiate sustainable social protection schemes that can assist rural residents in alleviating poverty until their condition improves.

scholarly journals Impact of the Community-Based Natural Resource Management Programme on the Poverty Status of Rural Households in Edo and Ondo States, Nigeria

2020 ◽  
Vol 69 (3-4) ◽  
pp. 102-109
Author(s):  
Wasiu Olalekan Akinbode ◽  
Adebayo Simeon Bamire ◽  
Adewumi Titus Adesiyan ◽  
Muyiwa Sunday Olatidoye ◽  
Nurudeen Afolabi Sofoluwe
Keyword(s):  
Resource Management ◽  
Natural Resource Management ◽  
Natural Resource ◽  
Rural Households ◽  
Sampling Procedure ◽  
Switching Regression ◽  
Community Based ◽  
Poverty Status ◽  
Food Expenditure ◽  
Per Capita

SummaryThe purpose of this study is to examine socioeconomic factors influencing the participation of households in the Community-Based Natural Resource Management (CBNRM) programme and estimate the programme’s impact on the poverty status of rural households in Edo and Ondo States, Nigeria. A multi-stage sampling procedure was used to select three hundred and twenty respondents across CBNRM participating and non-participating households. Data were collected according to socioeconomic criteria such as the expenditure on food and non-food items and the CBNRM participation status of the respondents surveyed. The endogenous switching regression model was used as an analytical tool. The following factors were found to exert significant influence on the participation of households in the CBNRM programme: year of schooling (p<0.05), membership in associations (p<0.05), value of disposable assets (p<0.1) and value of household’s food expenditure (p<0.05). A coefficient of correlation of 0.1625, obtained for the CBNRM participants, indicates that the CBNRM participants have higher per capita consumption expenditure than a random household by N1,369.17. The present study unequivocally demonstrated that participation in the CBNRM programme increased the per capita expenditure of the households considered, positively affecting their poverty status and emphasising the importance of education, household food expenditure, disposable assets and membership in association as determining factors for the CBNRM programme participation.

scholarly journals EFFECT OF FARMER-HERDSMEN CONFLICT ON POVERTY STATUS OF FARMING HOUSEHOLDS IN KWARA STATE, NIGERIA

2020 ◽  
Vol 53 (2) ◽  
pp. 195-206
Author(s):  
L. O. ADEBISI ◽  
O. A. ADEBISI ◽  
A. A. OPAKUNLE ◽  
U. G. ASOGWA ◽  
C. O. FARAYOLA ◽  
...  
Keyword(s):  
Regression Model ◽  
Farm Size ◽  
Farm Income ◽  
Tobit Regression ◽  
The Poor ◽  
Crop Farming ◽  
Farming Household ◽  
Poverty Status ◽  
Farming Households ◽  
Tobit Regression Model

This study examines the effect of farmer-herdsmen conflict on poverty status of crop farming households in Kwara State, Nigeria. Primary data was used for the study and a three stage sampling technique was adopted in the selection of the respondents. A structured questionnaire was used for the purpose of extracting needed information from 110 crop farming households selected for the study. The data collected were analyzed using Descriptive Statistics, Foster-Greer-Thorbecke (FGT) Index, and Tobit regression model. The result of prevalence of poverty among the farming households, who experienced conflict and those who didn’t in the study area, was 19.23% and 10.34%, while the intensity of poverty was 1.38 and 0.99%, respectively. The severity of poverty, which measures the extent of poverty, shows poverty was more severe among the poor who experienced conflict with a poverty index of 0.0002 than the poor who didn’t experienced conflict, who had index of 0.0001. The Tobit regression model, which measured the effects of farmer-herdsmen conflict on poverty status of the farming household, indicates that the likelihood of being poor were more with large farming households, non-educated farming household heads, small farm size, low farm income households, low off-farm income and occurrence of conflict. The study therefore recommends that governments should designate some areas for the herdsmen as grazing field and also establish grazing reserves and communities in all the states, so as to reduce farmers-herdsmen conflict.

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