scholarly journals Food security assessment of NGO supported and own managed pond fish farmers of two districts in Bangladesh

2016 ◽  
Vol 13 (2) ◽  
pp. 273-281 ◽  
Author(s):  
K Akhi ◽  
MT Uddin ◽  
MM Islam
Keyword(s):  
Food Security ◽  
Logit Model ◽  
Household Head ◽  
Fish Farming ◽  
Farm Size ◽  
Calorie Intake ◽  
Farm Income ◽  
Food Security Status ◽  
Farming Households ◽  
Daily Calorie Intake

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

scholarly journals Determinants of Food Security Status of Maize-Based Farming Households in Southern Guinea Savannah Area of Oyo State, Nigeria.

2016 ◽  
Vol 4 (5) ◽  
pp. 411 ◽  
Author(s):  
Oluwayemisi Abidemi Onasanya ◽  
Oluwakemi Adeola Obayelu
Keyword(s):  
Food Security ◽  
Logit Model ◽  
Sub Saharan Africa ◽  
Farm Size ◽  
Household Food Security ◽  
Calorie Intake ◽  
Productive Capacity ◽  
Maize Production ◽  
Food Security Status ◽  
Farming Households

Nigeria is one of the countries in sub-Saharan Africa with insufficient food and high food import bill, which have debilitating effects on the productive capacity of the citizens. Maize is the most important cereal after rice and its production contributes immensely to food availability on the tables of many Nigerians. This study examined the contribution of maize production to household food security status of rural maize-farming households in the southern guinea savannah of Oyo state, Nigeria. A multistage sampling procedure was used to select 200 farm households and the data were analysed using descriptive statistics, recommended daily calorie requirement (RDCR) approach, Logit model. Results showed that about three-quarters of the households were food secure and were able to meet the recommended calorie intake of 2260Kcal per capita per day. The shortfall index (P) which measures the extent of deviation from the food security line, indicated that the food secure households exceeded the RDCR by 65%, while the food insecure households fell short of the RDCR by 31%. The logit model showed that maize output, gender, primary occupation of the farmer, farm size and farming experience had a positive influence on food security status while age had a negative influence on the food security status of maize-based farming households in the Southern Guinea Savannah of Oyo State, Nigeria. This suggests need for specific support to improve maize production

scholarly journals Food security status among cocoa growing households in Ondo and Kwara states of Nigeria: A discriminant analysis approach

2011 ◽  
Vol 11 (48) ◽  
pp. 5646-5660
Author(s):  
K. A Oluyole ◽  
Keyword(s):  
Food Security ◽  
Household Head ◽  
Calorie Intake ◽  
Farm Income ◽  
Food Items ◽  
Food Security Status ◽  
The Mean ◽  
Per Capita ◽  
Cocoa Farmers ◽  
Farming Households

Cocoa, being a cash crop is mostly cultivated among cocoa farmers without giving much consideration to the cultivation of food crops. There is, however, little evidence on the translation of the income from cocoa production into improved food security by cocoa farmers. This study therefore examined the food security status of cocoa farming households in Nigeria. A simple purposive random sampling technique was used to select 100 cocoa farmers from each of Ondo and Kwara states of Nigeria, thus making a total of 200 respondents used for the study. Information was collected from the respondents with the aid of a structured questionnaire and the data obtained from the information were analysed with Descriptive Statistics, Food Security Index, Surplus/Shortfall Index and Discriminant Analysis. The mean age for the households’ head was 53±16.27 years while the mean household size was 7±4.24 persons per household. The mean per capita food consumption was 2063.15±1343.55 kilocalories and the mean monthly farm income was N27,536.50±29161.74. With food security line of N 1,959.00, 44.0 % of the sampled households in the study area were able to meet the recommended calorie intake of 245 0 Kilocalories per capita per day. The food secure households exceeded the calorie requirement by 0.03% while the food insecure households fell short of the recommended calorie intake by 0.02%. An increase in the value of association membership of household head, off -farm income, farming experience of household head and number of meals taken per day (p<0.05) would improve the food security stat us of households and hence would shift the households to food security while an increase in the value of household size and per capita non -food expenditure (p<0.05) would worsen the food security status of households and therefore shift the household to food insecurity. The study recommended that there is a need for an enlightenment programme on birth control and that government can subsidize the price of food items as this will reduce the cost of procuring food items by households thus enabling households to be able to increase the number of meals taken per day. Also, cocoa farming households are encouraged to ensure that income from cocoa is partly used to address food insecurity at household level.

scholarly journals Assessing the Determinants of Food Security Status in Bangladesh: A Micro-Econometric Analysis

2020 ◽  
Vol 3 (2) ◽  
pp. p26
Author(s):  
Tithy Dev ◽  
Elias Hossain ◽  
Morteza Haghiri
Keyword(s):  
Food Security ◽  
Geographical Area ◽  
Household Head ◽  
Secondary Data ◽  
Farm Size ◽  
Household Food Security ◽  
Calorie Intake ◽  
Household Level ◽  
Food Security Status ◽  
Food Grain

Food security is an intricate issue which includes diverse aspects as well as many linkages. In Bangladesh, food security is tried to be achieved by increasing the production of rice both by employing modern agricultural technology as well as by increasing the area under rice production. Despite the impressive gains in increasing domestic food grain production, problems of food and nutrition security still remain. Bangladesh is yet to achieve comprehensive food security that resolves the problems of inadequate food intake and chronic malnutrition among those who are poor and vulnerable. The main objective of this paper is to the contribution of different factors behind household food security status of 180 households in three Northern districts of Bangladesh. The study area was chosen because relatively little energy consumption data are available concerning this geographical area. The study used both primary and secondary data. Food security status of each household was assessed on the basis of the food security line using the daily calorie intake recommended by FAO. This method has proven to be efficient in measuring food security at household level. Additionally, the use of a logistic regression model identified the factors that plays crucial role in determining the food security status of the households. Results from the food security index revealed that more than 60 percent of households were with food insecurity. In addition, we found that total monthly household income, age of household head, education level of household head, household size, farm size, gender of household head, livestock ownership and quantity of cereal production had significant influence on food security status at the household level.

scholarly journals ANALYSIS OF FOOD SECURITY STATUS AMONG RURAL FARMING HOUSEHOLDS IN MUBI NORTH LOCAL GOVERNMENT AREA OF ADAMAWA STATE, NIGERIA

2019 ◽  
Vol 7 (7) ◽  
pp. 226-246
Author(s):  
A.S. Haddabi ◽  
N. J Ndehfru ◽  
A. Aliyu
Keyword(s):  
Food Security ◽  
Local Government ◽  
Local Government Area ◽  
Farm Size ◽  
Household Food Security ◽  
Farm Income ◽  
Production Constraints ◽  
Rural Farmers ◽  
Food Security Status ◽  
Farming Households

The study analyzes Food security status among rural farming households in Mubi North local Government Area of Adamawa state, Nigeria. Respondents’ socio- economic characteristics, food security status determinants of household food security and production constraints faced by respondents in achieving food security in the study area were investigated. Data were collected from one hundred and twelve (112) randomly selected rural farmers in six villages of the six (6) selected wards of Mubi North local government area using structured questionnaire. The data were analyzed using descriptive statistics and binary logistic regression analysis. The result revealed that 72.32% of the respondents were male and 75% were married. Majority (72.33%) of the respondents had one form of formal education or the other and with a mean farming experience of 12 years. The respondents were mostly in their economically active age (mean age of 37 years) and cultivate an average of 2.95 hectares of farm land using personal savings. The mean per capita food expenditure per month was estimated to be N6, 205.11 and the value was used as food security index, and majority (74.10%) of the households were food secured in the study area. The result further revealed that educational level, farm size, farming experience and total monthly income of household heads were positively related to households’ food security status, while age of households’ head was inversely related to food security status. The major production constraints to achieving food security status in the study area include; poor access to credit facilities (98%), high cost of agro-chemicals (81%) inadequate and high cost of fertilizer (78%), shortage of labour (77%), poor storage facilities (62%) and inadequate extension visit (51%). The study among others recommended that rural farmers should be trained on farm management efficiency to boost production capacity and they should explore non-farm income to augment their existing income so as to increase their potentials considering that most of the farmers are youths.

scholarly journals Assessment of hired labour use and food security among rural farming households in Kwara State, Nigeria

2014 ◽  
Vol 59 (3) ◽  
pp. 353-361 ◽  
Author(s):  
Kemi Omotesho ◽  
Azeez Muhammad-Lawal ◽  
Damilare Ismaila
Keyword(s):  
Food Security ◽  
Household Head ◽  
Sampling Technique ◽  
Extension Education ◽  
Tobit Regression ◽  
Agricultural Credit ◽  
Food Security Status ◽  
Older Farmers ◽  
Analytical Tools ◽  
Farming Households

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.

scholarly journals The effect of sustainable land management technologies on farming household food security in Kwara state, Nigeria

2019 ◽  
Vol 64 (2) ◽  
pp. 203-214
Author(s):  
Shehu Salau ◽  
Robiu Aliu ◽  
Nofiu Nofiu
Keyword(s):  
Logistic Regression ◽  
Food Security ◽  
Food Insecurity ◽  
Land Management ◽  
Household Head ◽  
Household Food Security ◽  
Farm Income ◽  
Sustainable Land Management ◽  
Security Index ◽  
Farming Households

Nigeria is among countries of the world confronted with the food insecurity problem. The agricultural production systems that produce food for the teeming population are not sustainable. Consequently, the use of Sustainable Land Management (SLM) technologies becomes a viable option. This study assessed the effect of SLM technologies on farming households? food security in Kwara State, Nigeria. A random sampling technique was used to pick 200 farming households for this study. The analytical tools included descriptive statistics, Shriar index, Likert scale, food security index and logistic regression analysis. The results indicated that the average age of the respondents was 51.8 years. The food security index showed that the proportions of food secure and insecure households were 35% and 65% respectively. The binary logistic regression revealed that SLM technologies were one of the critical determinants of food security. An increase in the usage of SLM technologies by 0.106% raised food security by 1%. Other important factors that were estimated included farm income, family size, gender and age of the household head. To reduce the effects of food insecurity, the effective coping strategies adopted by the respondents were reduction in quantity and quality of food consumed, engaging in off-farm jobs to increase household income and using of money proposed for other purposes to buy foods. Governments at all levels should encourage the adoption and use of SLM technologies through both print and electronic media. Policies and strategies towards reducing the household size should be vigorously pursued to reduce food insecurity.

scholarly journals Food Insecurity and Related Factors among Farming Families in Takhar Region, Afghanistan

2021 ◽  
Vol 13 (18) ◽  
pp. 10211
Author(s):  
Sayed Alim Samim ◽  
Zhiquan Hu ◽  
Sebastian Stepien ◽  
Sayed Younus Amini ◽  
Ramin Rayee ◽  
...  
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Household Head ◽  
Unit Group ◽  
Ordered Probit ◽  
Farm Income ◽  
Related Factors ◽  
Agricultural Income ◽  
Farming Families ◽  
Farming Households

Improved food security remains a major challenge for policymakers in Afghanistan. The objective of this study is to investigate the prevalence and drivers of food insecurity among farming households in the Takhar region of Afghanistan. Household questionnaire survey datasets were obtained from 262 farmers via multi-stage sampling across four districts. The Household Food Insecurity Access Scale (HFIAS) was constructed to assess the prevalence of food insecurity, and an ordered probit econometric model was used to identify the factors influencing the prevalence rates in farming families. The findings indicate that 66.79% of the farming households were food insecure, whilst 30.53% were severely food insecure. After adjustment of socio-economic and demographic characteristics of families, the ordered probit results reveals that household head education, dependency ratio, farm income, access to non-agricultural income, livestock unit, group membership, borrowing, farm diseases, flood, and war significantly influenced farming households’ food insecurity in the study area. Our findings highlight the urgent requirement for policies and initiatives to support farmers to improve their overall food security. Such strategies should focus on introducing improved farming techniques, enhancing farmer education levels, livestock development programs, building and empowering farmers groups, creating credit access to households, and providing humanitarian food support.

scholarly journals DETERMINANTS OF FOOD SECURITY AMONG FARMING HOUSEHOLDS IN AKURE NORTH LOCAL GOVERNMENT AREA OF ONDO STATE, NIGERIA

2018 ◽  
Vol 2 (2) ◽  
pp. 164
Author(s):  
Haruna I Opaluwa ◽  
Felix O Oyibo ◽  
Fatai A Jimoh
Keyword(s):  
Food Security ◽  
Local Government ◽  
Control Measure ◽  
Local Government Area ◽  
Farm Size ◽  
Calorie Intake ◽  
Small Scale ◽  
Logit Regression ◽  
Ondo State ◽  
Farming Households

The determinants of food securityamong farming households in Akure North Local Government Area of Ondo State, Nigeria is the main focus of this study.It specifically described the socioeconomiccharacteristics of the farming households, analyzed the food security situation of the respondents and estimated the determinants of food security among the households in the study area. Structured questionnaire was used to collect data from 109farming householdswho were selected by a three stage random sampling technique. The collected data were analyzed using descriptive statistics, Food security index, FGT and Binary Logit regression model. Findings of the study showed a young vibrant farming population, relatively literate and engaged in small scale farming. The outcome of the study also indicated that majority (80percent) of the respondents were food insecure consuming less than the recommended daily calories intake of 2260kcal. Food secure households in the study area exceeded the calorie requirement by 69% while the food insecure households fell short of the recommended calorie intake by 37%.The result of the Logit regression revealed that education, household size, farm size and total household income were the statistically significant variables affecting the food security of the farming households in the study area. These coefficients have values of1.490, - 0.021, 0.264 and 0.000 respectively. It was recommended that Government should provide an integrated approach that promotes formal education among farming households to enhance their farm production activities.There is also a need to promote large scale farming in the area. It was further recommended that enlightenment programmes on nutrition and birth control measure should be directed at the farming households in the study area. This will help to check the consumption of unbalanced diets and uncontrolled child births respectively.

scholarly journals Determinants of Food Security Status and Coping Strategies to Food Insecurity among Rural Crop Farming Households in Ondo State, Nigeria

2021 ◽  
pp. 39-50
Author(s):  
Adegoroye, Ademola ◽  
Olutumise, Adewale Isaac ◽  
Aturamu, Oluyede Adeleke
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Coping Strategies ◽  
Household Head ◽  
Food Security Status ◽  
Crop Farming ◽  
Arable Crop ◽  
Ondo State ◽  
And Coping ◽  
Farming Households

This study examined the food security status and coping strategies to food insecurity of rural arable crop farming households in Ondo State, Nigeria. Primary data were used and a multistage sampling procedure was used to select 150 respondents. Food Security Index (FSI), Probit regression model and Coping Strategy Use Index (CSUI) were employed to carry out the analysis. The empirical findings revealed that (54%) of rural arable crop farming households in the study area were food secure based on the recommended minimum calorie of 2260Kcal. Furthermore, the empirical analysis revealed that gender of the household head, household size, farm size and farm income of the household head had significant influence on the household food security status. The most widely employed coping strategy was withdrawal from personal savings as indicated by 14.82 percent of household and while reliance on less expensive food and purchasing food on credit were ranked second and third respectively with 13.66 and 12.85 percent by the food insecure households. In other to ensure sustainable food security among the households, the study recommended effective household size management, and enlightenment programmes on family planning in the study area. Farmers should increase their farm sizes. Farmers should use more inputs and technologies to increase output. Farmers should also be encouraged to have additional source of income towards attaining food security 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.

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