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

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

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.


2019 ◽  
Vol 11 (2) ◽  
pp. 184-188
Author(s):  
A.O. Awoyemi ◽  
M.N. Ajiboy ◽  
G.B. Adesiji ◽  
A.O. Kayode

Abstract. The study assessed the food safety knowledge and practices among farming households in Irepodun Local Government Area (LGA) of Kwara State, Nigeria. Irepodun LGA was purposively selected due to the large population of farmers in the area. Two-stage sampling technique was used to randomly select one hundred and four (104) respondents from five villages, namely: Elerinjare, Batanyin, Igbo-owu, Omode and Idofian. Primary data were used for the study and the data were collected by means of an interview schedule. Descriptive statistical tools such as precision counts, frequencies and percentages were used in analyzing the data while Pearson Product Moment Correlation (PPMC) analysis was used to test the hypothesis. The findings revealed that the mean income was 156375.50 NGN (441.74 USD) per annum, majority of the farming households have low knowledge towards food safety practices. Constraints to food safety practices include: lack of knowledge, inadequate training and awareness and inadequate finance. PPMC analysis showed that income and educational level was significantly related to the food safety practices among farmers across the selected farming households P≤0.05. Based on the findings, training and effective monitoring by relevant stakeholders, adequate provision of modern technology, sensitization and enlightenment campaigns will further boost farming household’s knowledge and attitudinal changes towards food safety and ultimately safe food for the people.


2014 ◽  
Vol 59 (2) ◽  
pp. 175-186 ◽  
Author(s):  
Abimbola Adepoju ◽  
Olaniyi Oyewole

The pattern of income distribution has been a major concern in the developing world. This is because high levels of income inequality are likely to create a hostile atmosphere for economic growth and development. This study examined rural livelihood strategies and their contribution to the overall income inequality of households in Akinyele local government area of Oyo state. Primary data employed in the study were obtained from 105 respondents selected through a multi-stage sampling technique. Data were analyzed using descriptive statistics, multinomial logit and the generalized entropy inequality indices as a measure of inequality. The distribution of respondents by type of livelihood strategy adopted revealed that almost half of the respondents adopted the combination of farm and non-farm strategy while 14.3% and 40.0% adopted only farm and non-farm strategy respectively. Income inequality was the highest among non-farming households and the lowest among farming households, implying that income from non-farm activities contributed most to income inequality in the study area. The study revealed that the major factor which negatively influenced the choice of farming as a livelihood strategy was household size while factors such as age and land ownership had positive and negative effects on the adoption of the non-farm strategy respectively. The study recommends that policies targeted at rural dwellers should centre on improved access to productive assets such as land for the landless farmers as well as the provision of improved technology, which could encourage the ageing farming population to engage in farming activities.


2020 ◽  
Vol 1 (1) ◽  
pp. 31-39
Author(s):  
C. G. Onuwa ◽  
S. S. Mailumo ◽  
S. Y. Muhammed

This study analyzed the profitability and determinants of groundnut production in Dambatta Local Government Area of Kano state. Multi-stage sampling technique was used in collecting data from eighty (80) respondents in the study area. The data generated were analyzed using descriptive statistics, farm budgeting model and regression analysis. The results revealed that the gross margin and net farm income of the farmers were N71400/ha and N59400/ha respectively. Also, the fixed and operating ratios were estimated at 0.1 and 0.41 respectively, while the benefit- cost ratio was N1.98. The coefficient of multiple determination (R2) was 0.739, implying that about 74% of the variation in the output of groundnut was accounted for by the explanatory variable inputs in the regression model. The regression coefficients of Farm size(X1) and Credit(X6) were positive and statistically significant at (p< 0.01), labour (X2) and Agrochemical(X5) were also positive and statistically significant at (p< 0.1), while Fertilizer(X4) was also positive and statistically significant at (p<0.05). The major constraints associated with groundnut production in the study area include; inadequate capital (86%), high cost of production inputs (83%) and lack of access to agricultural credit (78%). The study recommended that if these constraints are adequately tackled the productivity and profitability of the groundnut farmers will significantly improve. Onuwa, C. G. | Department of Agricultural Extension and Management, Federal College of Forestry, Jos, Plateau state, Nigeria


2021 ◽  
Vol 2 (1) ◽  
pp. 015-022
Author(s):  
NC Morgan ◽  
O Bethel ◽  
PO Aluge

The study examines the technical efficiency and profitability of sweet potato production in Yenagoa Local Government Area of Bayelsa State, Nigeria. A total of one hundred sweet potato farmers were selected through a multi-stage sampling technique. Data collected were analysed using descriptive statistics, budgetary analysis and stochastic approach. The average age of the farmers was 35 years, majority (54%) of the sweet potato farmers were males, majority (87%) of the farmers had one form of education, average fish farming experience of the farmers was 9 years, and majority (55%) of the sweet potato farmers were married. The result of production function depicts the coefficient of multiple determinations (R2) to be 41%. It further shows that the relationship between output and farming experience which had a coefficient of 0.11 was positive indicating that as years of farming experience increased, the amount of output increased. Moreover, the mean technical efficiency was 0.73 with minimum and maximum efficiencies of 0.19 and 1.76 respectively. Total Cost (TC) was ₦20,755.53while total returns were ₦31,715.20 with Net Farm Income (NFI) of ₦10,959.67. Return on investment was ₦0.53, which implies profitability of sweet potato production in the study area. The study also identified inadequate finance, lack of land, and high cost of labor as the major problems faced by the farmers. Government is therefore recommended to support in terms of revitalization and prioritizing funding of extension delivery system of the state owned Agricultural Development Programmes (ADPs).


Author(s):  
M. R. Umar ◽  
I. J. Suleiman

This study was carried out to access farmer’s contribution to Agriculture in Rural Development of Fufore LGA of Adamawa State, Nigeria. Seven wards within the LGA were selected (Ribadu, Gurin, Farang, Mayo-ine, Pariya, Karlahi and Yadim). Thirty (30) questionnaires were randomly distributed to the household in each ward selected through multi-state random sampling technique as primary data. A total of Two Hundred and Ten (210) farmers were selected for the study. Data were analyzed with the aid of descriptive statistics and multiple regression models. Results show that Age, Marital status, Farm size, Family size, Education level have percentage ranging from 10-28.6, 13.3-31, 4-69, 5.2-31 and 15.2-37.6% respectively while Primary occupation, Access to credit, Number of extension visit and farm income percentage values ranged from 3.8-43.9, 15.7-25.7, 5.7-53.4 and 8.1-35.7% respectively.  The result further shows that the majority of the respondents are still in their youthful stage and 31% of them were married. The study further reveals that 69% of the respondents cultivate on 1-5 hectares of land, the result of the multiple regression analysis indicates that farm size was negative and significant at 5% level; Education level has a positive coefficient and significant at 1% level while access to credit coefficient was positive and significant at 5% level. The findings of the regression equation determine the manner towards farmer’s contribution to agriculture in rural development and examine the constraints militating farmer’s contributions to agriculture in the study area. Cob-Douglas function with R­2 value of 0.813 was chosen as the lead equation. Low price of farm output poor extension visits, market distance, is some of the major problems affecting the contribution of agriculture to the development of the study area. It was therefore recommended that there is need to train and provide farming equipment’s, agricultural credit should also provide the needed environment to foster rural development facilities in Fufore Local Government Area of Adamawa State.


2021 ◽  
Vol 21(36) (2) ◽  
pp. 33-44
Author(s):  
Samuel Upev ◽  
Amurtiya Michael ◽  
Shuaibu Mshelia ◽  
Justice Onu

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.


2021 ◽  
Vol 114 (6) ◽  
pp. 85-96
Author(s):  
O.S. Balogun ◽  
M.M. Olorukooba ◽  
O.L. Balogun ◽  
O.F. Alabi ◽  
G. Tor Lawrence ◽  
...  

2020 ◽  
Vol 8 (11) ◽  
pp. 245-252
Author(s):  
David Okechukwu Enibe ◽  
◽  
Chinecherem Joan Raphael ◽  

The study analyzed the economics of pineapple production in Awgu Local Government Area (LGA) of Enugu State, Nigeria. Data for the study were collected from 50 respondents from Amoli and Ihe communities of the LGA through a simple random sampling technique. The communities were purposively selected because they contain higher concentration of pineapple farmers. Primary data were collected using interview schedule administered to the respondents. Data were realized with descriptive statistics, enterprise budgeting techniques and multiple regression analysis. The study revealed that (36%) of the farmers had farming experience of 1 to 10 years’ experience in pineapple production, indicating that new farmers entered the crop’s production sector within the last decade. The enterprise proved profitable with farmers’ net return on investment value of 1.7. Farm size, cost of input, level of education and household size significantly determined net farm income. It was further revealed that poor access road and high transportation cost were the main constraints of the pineapple producers. The study concluded that profitable production opportunities exist on the crop. The study recommends that extension agencies should encourage more new farmers to exploit pineapple production potentials while encouraging its existing farmers to scale up production through farm size increment, reinvestment of their gains and production knowledge increase.


2019 ◽  
Vol 7 (7) ◽  
pp. 226-246
Author(s):  
A.S. Haddabi ◽  
N. J Ndehfru ◽  
A. Aliyu

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.


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