scholarly journals Determinants of Poverty Status among Crop and Fish Farmers in Southern Nigeria

2020 ◽  
pp. 87-96
Author(s):  
I. O. Ettah ◽  
E. Agbachom Emmanuel ◽  
Ajigo Ikutal ◽  
Godwin Michael Ubi
Keyword(s):  
Sampling Technique ◽  
Poverty Line ◽  
Primary Sources ◽  
Farm Size ◽  
Farm Income ◽  
Crop Farming ◽  
Poverty Status ◽  
Poverty Indicators ◽  
Farming Households ◽  
Education Credit

The research study was carried out to determine the poverty status and their determinants among crop and fish farmers in Itu Local Government Area of Akwa Ibom State, Nigeria. A two-stage sampling technique was adopted to select crop farmers and fish farmers’ households in the study area. The data used for this study were obtained from primary sources. Data were obtained through validated structured questionnaires. The determinant of poverty among crop farmers and fish farmers was analyzed using logistic regression, while poverty indicators were analyzed using the three indicators of poverty as highlighted in the Foster, Greer and Thorbecke (FGT) model. Result of analysis on the incidence of poverty shows that about 52.5% of crop farmers and 62.5% of fish farmers in the area had their per capita income less than the poverty line income. The result also showed that poverty depths of 0.342 for crop farmers and 0.309 for fish farmers in the area. Similarly, the severity of the poverty index was 0.252 for crop farming households and 0.221 for fish farmers’ headed households. On the determinants of crop farmers, gender, age, marital status education, farm size and membership of association were all found to be positive and significant determinants, while education, credit, farm income and experience were the positive and significant determinant of poverty among fish farmers in the area. The following are recommended: credit delivery mechanism which is without or with very minimal stringent conditions (such as the provision of collateral) targeting the poor crop farming and fishing households should be implemented and improved crop farmers/fishermen access to technological information.

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.

scholarly journals Determinants of Poverty Status of Cassava-based Farmers in Imo State, Nigeria

2019 ◽  
pp. 1-8
Author(s):  
M. N. Osuji
Keyword(s):  
Probit Model ◽  
Poverty Line ◽  
Probit Analysis ◽  
Household Size ◽  
Ordered Probit ◽  
Farm Size ◽  
Farm Income ◽  
Imo State ◽  
Poverty Status ◽  
The Mean

The study assessed the determinants of Poverty Status of Cassava based farmers in Imo State, specifically; it examined the socio-economic characteristics of cassava farmers and assessed determinants of poverty status among cassava-based farmers in Imo state. Multistage and purposive sampling techniques were used in selecting sixty (60) cassava-based farmers in the three agricultural zones in the area. Data used for the study were obtained using structured questionnaire. The data obtained were analyzed using descriptive statistics, Foster Greer Thorbecke (FGT) and ordered probit model. The result showed that the mean age was 50 years, 67% of the respondents were women, 47% of the respondents attended secondary education, they have 25 years mean farming experience, the mean household size was 6 persons, 88% of the farmers are married, and they have mean farm size of 1.03 hectare. The result of Foster Greer Thorbecke (FGT) analysis showed that the estimate of the poverty profile of cassava-based farmers in the study area was N62, 476.67k, the poverty incidence was 0.25, and the poverty depth and severity were 0.0659 and 0.0362 respectively. This implied that 6.59% of the total expenditure is required to close the poverty gap while in extreme cases additional 3.62% was required to cross the poverty line. The ordered probit analysis showed that education, household size, farm income and extension contact were statistically significant at 1% and 5% probability levels, respectively. Findings revealed that education, household size, farm income and extension contact were the significant determinants of farmers poverty status.

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 Economic Evaluation of Maize Intercropped with Some Major Food Crops in Southwestern Nigeria

2018 ◽  
Vol 51 (4) ◽  
pp. 27-35
Author(s):  
O.A. Egbetokun ◽  
S. Ajijola ◽  
O.A. Awolola ◽  
D.O. Awoyemi
Keyword(s):  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Cost Ratio ◽  
Food Crops ◽  
Southwestern Nigeria ◽  
Use Of Resources ◽  
Major Food ◽  
Benefit Cost ◽  
Farming Households

Abstract In Nigeria, the traditional farmer finds it more satisfactory to plant a diversity of crops than planting sole. It is cheaper for farmers to grow many crops of their own requirements than to buy them. Hence, intercrop has remained the traditional farming practice in many other developing nations. Maize is a major cereal crop grown by all farming households all over Nigeria in combination with other crops. There are many studies on intercropping of maize with other food crops in Nigeria; however, many of these studies do not bother to look into the economics of intercrop. Therefore, this study examines the economic profitability of maize intercropped with major food crops in Southwestern Nigeria. Multi-stage sampling technique was employed in the study. A total of 138 questionnaire were used for analysis. Information was collected on socio-economic characteristics of the farming households, cropping systems, cost of labour input, cost of seeds, fertilizer and chemicals; yield and price of output. Data analysis involved the use of descriptive analysis, which includes frequency distribution, mean and percentages. Also, benefit-cost ratio and net farm income analyses were employed. The results showed that the average farm size was 1.5 ha, 75% of the farmers intercropped maize with other crops and six varieties of maize were planted in the study area. Among all the crop combinations, sole maize has the least cost, while maize intercropped with cassava and yam has the highest cost. Benefit-cost analysis showed that for every N 1 spent in maize intercropped with cassava and yam, N 1.26 would be realized as profit. It is therefore, recommended that for optimal use of resources and crop combinations, both public and private extension workers should advice farmers on this finding and the most profitable crop combinations.

Effect of Fadama III programme on poverty status of rice farming households in Patigi local government area of Kwara state, Nigeria

2015 ◽  
Vol 11 (2) ◽  
pp. 80-91
Author(s):  
AH Adenuga ◽  
OA Omotesho ◽  
RO Babatunde ◽  
DP Popoola ◽  
G Opeyemi
Keyword(s):  
Local Government ◽  
Household Head ◽  
Sampling Technique ◽  
Local Government Area ◽  
Farm Income ◽  
Rice Farming ◽  
Tobit Regression ◽  
Poverty Status ◽  
Tobit Regression Analysis ◽  
Farming Households

Concern about the menace posed by poverty has led the Nigerian government over the years to devote considerable attentions to alleviating its scourge through various aids and programmes. However, little is known as to the extent to which the objectives of these programmes have been achieved. This study was therefore carried out to examine the micro level effect of the National Fadama III Programme on poverty status of rice farming households in Patigi Local Government Area of Kwara State, Nigeria. A purposive- two stage random sampling technique was used to select 60 beneficiaries and 60 non-beneficiaries of the programme using a well structured questionnaire. Descriptive statistics, Foster Greer Thorbecke model and the Tobit regression model were the major analytical tools employed. The results obtained from the headcount indices showed that, 33% and 60% of the beneficiaries and non-beneficiaries respectively are poor. The poverty gap indices were 0.36 and 0.45 for Fadama III and non Fadama III farmers respectively while the squared poverty gap was 0.17 and 0.22 respectively. The result of the Paired t-test showed that the National Fadama III programme impacted positively and significantly on the beneficiaries’ welfare. The Tobit regression analysis revealed, that household size, farm income, educational level of the household head, age and beneficiary status were the major determinants of poverty in the study area. Based on findings of the study, it was recommended that farming households especially women should be given increased access to programmes such as the National fadama III programme to improve their welfare and increase agricultural production in the country.Keywords: Fadama III; poverty; Tobit; Beneficiaries; Patigi

scholarly journals Risks and determinants of risk management strategies among rural cassava-based farmers in Imo State

2020 ◽  
Vol 17 (2) ◽  
pp. 100-115
Author(s):  
C.E. Ahaneku ◽  
S.U.O. Onyeagocha ◽  
C.C. Eze ◽  
N.M. Chidiebere-Mark ◽  
G.O. Ellah ◽  
...  
Keyword(s):  
Risk Management ◽  
Management Strategies ◽  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Imo State ◽  
Resistant Species ◽  
Risk Management Strategies ◽  
Multistage Sampling ◽  
Logit Regression Model

Cassava-based farmers are faced with a lot of risks and uncertainties and this results to low agricultural output and hinders the rural farmers from  pursuing their farming activities as an enterprise. The study assessed the risks and determinants of risk management strategies among rural cassava-based farmers in Imo State. A multistage sampling technique was used in the selection of respondents. Data were collected with the use of structured questionnaire administered to 180 respondents. Multinomial logit regression model was used to determine the factors influencing the choice of risk management strategies among rural cassava-based farmers in the study area. Results of the study showed that the farmers were of middle-age, fairly educated and have average farm size of one hectare. Majority of the farmers identified loss of crop due to disease (76.11%) and loss due to erosion (73.89%) as sources of risk farmers were exposed to. Also greater number of the respondents adopted practicing of mixed  cropping and planting of disease resistant species as risk management strategies. The result of the study also confirmed that age, gender, educational level and farm income were the major determinants of the farmers’ choice of risk management strategies. It was recommended that  government should make extension services functional and provide policies that will help boost the socio-economic welfare of farmers as this will significantly propel an increase in the choice effective risk management strategies in the area. Keywords: Risk management, risk management strategies, cassava based farmers.

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 THE ISSUE OF INCOME DIVERSIFICATION AMONG RURAL FARMING HOUSEHOLDS: EMPIRICAL EVIDENCE FROM KWARA STATE, NIGERIA

2018 ◽  
Vol 49 (3) ◽  
pp. 231-238 ◽  
Author(s):  
Adeniyi Felix Akinrinde ◽  
Kemi Funmilayo Omotesho ◽  
Israel Ogulande
Keyword(s):  
Rural Areas ◽  
Household Head ◽  
Sampling Technique ◽  
Structured Interview ◽  
Farm Size ◽  
Farm Income ◽  
Income Diversification ◽  
Income Sources ◽  
Farming Families ◽  
The Government

The rising incidences of poverty among rural farming families are the reason behind renewed interest in income diversification. This study determined the level of income diversification; identified alternative income sources; examined the reasons for diversification; and identified the constraints to diversification. A three-stage random sampling technique was used in selecting 160 households on which a structured interview schedule was administered. Descriptive statistics, a Likert-type scale, and the Pearson’s Product Moment Correlation were used for data analyses. Findings reveal that 1.3% of the households had no additional sources of income while 40.6% had at least four. Trading (55%) and livestock keeping (40.7%) were the most popular alternative income sources. The declining farm income (mean = 2.96) was the primary reason for diversification, while poor rural infrastructure (mean = 3.04) was the most severe constraint to income diversification. Farm size, access to extension services, household size, age and educational level of the household head were significantly related to the level of income diversification at p < 0.05. The study concluded that the level of income diversification was high and influenced by socioeconomic characteristics of the households. It recommends that the government should provide adequate infrastructural facilities in rural areas. Farmer associations should also ensure better prices for agricultural produce through joint marketing.

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

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