Impact of National Fadama Development Project II on Rice farmers’ profitability in Kogi State, Nigeria

Olaolu, Michael Olatunji; Ajayi, AR; Akinnagbe, Oluwole Matthew

doi:10.4314/jae.v15i1.7

Cited by 3 publications

(3 citation statements)

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“…The mean age of the respondents was 50.6 years; this implied that most of the respondents were in their active age but tending towards old age. This contradicted the findings ofOlaolu et al, (2013) where the average age of the respondents was 45.5 years. The table also showed the proportion of the households headed by a male as 84.12 percent, while 15.88 percent of the households were female-headed.…”

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confidence: 90%

Analysis of Vulnerability to Poverty and Income Shocks of Households in Rural Nigeria

Adepoju

Ayantoye

Amao

et al. 2019

IJSRST

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The study looked at the poverty profile of households in rural Nigeria and also their vulnerability to poverty and factors determining vulnerability to poverty. The study used the post harvest and post planting cross section data from the National Living Standard Survey (NLSS) for year 2012. A multi-Stage sampling technique was adopted to select a total of 1020 households for the study. Three stage feasible generalized least square (3FGLS) estimation procedure was used to analyze the vulnerability to poverty and to model the effect of household socio-economic status on expected future consumption and variation in future consumption while Tobit model was used to examine the determinants of vulnerability to poverty and VEP. The result revealed that 58 percent of the rural household in the study area are poor, and the intensity of poverty was 30.1 percent, which was high for the study area was high. Severity of poverty was recorded as 18.4 percent, an indication for income inequality among the poor. The result further revealed that age squared (P = 0.01), sex (P = 0.10), covariate shocks (P = 0.10) and farm size (P = 0.05) were positively significant in ex ante mean consumption while age (P = 0.01), married respondents (P = 0.10), and years of schooling (P = 0.05) were negatively significant in ex ante mean consumption. The shocks variables experienced by households in the study area were natural/agricultural; economic; political/social/legal; and demographic/life-cycle shocks that inflict welfare loss. The findings suggest that poverty and vulnerability to poverty are independent concepts. It is recommended that policies concerning poverty reduction should consider households that are currently nonpoor but are vulnerable to poverty along with poor households. Rural households should also be encouraged to engage in more off-farm activities and value addition of their produces.

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confidence: 90%

Analysis of Vulnerability to Poverty and Income Shocks of Households in Rural Nigeria

Adepoju

Ayantoye

Amao

et al. 2019

IJSRST

View full text Add to dashboard Cite

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“…For instance, Yakubu et al (2019) have documented the factors influencing participation of cassava farmers in Survival Farming Intervention Programme (SFIP). Also, Olaolu et al (2013) have studied the effect of Fadama on participating rice farmers. Olaolu and Akinnagbe (2014) have also documented constraints and strategies to improving agricultural development under Fadama II.…”

Section: Introductionmentioning

confidence: 99%

Analysis of efficiency differentials in Fadama III programme areas in Kogi State, Central Nigeria

Ali

Abu

Ater

et al. 2022

J. Agribus. Rural Dev.

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Introduction: The impact of Fadama III programme on the efficiency levels of farmers in Kogi state, Nigeria was investigated. Materials and methods: Primary data were obtained with a questionnaire administered to 382 respondents selected through a stratified random sampling procedure. The Cobb-Douglas stochastic frontier production and cost functions were employed in the analyses. The resulting efficiency estimates for beneficiaries and non-beneficiaries were compared using the t-test. Major findings: Efficiency analyses indicate that the quantities of Seed, fertilizer and agrochemicals used were the drivers of technical efficiency among both categories of farmers, while costs of land, fertilizer and family labour were the drivers of allocative efficiency. Technical efficiency estimates for both categories of farmers were 0.79 and 0.71 respectively and respective allocative efficiency estimates were 1.22 and 1.44. Mean comparison of the technical efficiency levels indicated a t-estimate of 2.52 (α= 0.0124) in favour of the beneficiaries while a t-estimate of -24.56 (α= 0.000) indicated that beneficiaries were also more allocatively efficient. Conclusion: The beneficiaries, by acquiring skills and supports from Fadama III, became were more efficient than their non-benefiting counterparts. Continuous training will assist farmers to improve their efficiencies and reduce the noticed deficits.

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“…SUR models take the underlying covariance structure of the error terms across equations into account. Applications in econometrics and related fields include demand and supply models (Kotakou, 2011;Martin et al, 2007), capital asset pricing models (Hodgson et al, 2002;Pástor and Stambaugh, 2002), chain ladder models (Hubert et al, 2017;Zhang, 2010), vector autoregressive models (Wang, 2010), household consumption and expenditure models (Kuson et al, 2012;Lar et al, 2011), environmental sciences (Olaolu et al, 2011;Zaman et al, 2011), natural sciences (Cadavez and Henningsen, 2012;Hasenauer et al, 1998) and many more.…”

Section: Introductionmentioning

confidence: 99%

Robust inference for seemingly unrelated regression models

Peremans

Aelst²

2018

Journal of Multivariate Analysis

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Seemingly unrelated regression models generalize linear regression models by considering multiple regression equations that are linked by contemporaneously correlated disturbances. Robust inference for seemingly unrelated regression models is considered. MM-estimators are introduced to obtain estimators that have both a high breakdown point and a high normal efficiency. A fast and robust bootstrap procedure is developed to obtain robust inference for these estimators. Confidence intervals for the model parameters as well as hypothesis tests for linear restrictions of the regression coefficients in seemingly unrelated regression models are constructed. Moreover, in order to evaluate the need for a seemingly unrelated regression model, a robust procedure is proposed to test for the presence of correlation among the disturbances. The performance of the fast and robust bootstrap inference is evaluated empirically in simulation studies and illustrated on real data.

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Impact of National Fadama Development Project II on Rice farmers’ profitability in Kogi State, Nigeria

Abstract: N 1,210:40 and N 1,690:50

Cited by 3 publications

References 0 publications

Analysis of Vulnerability to Poverty and Income Shocks of Households in Rural Nigeria

Analysis of Vulnerability to Poverty and Income Shocks of Households in Rural Nigeria

Analysis of efficiency differentials in Fadama III programme areas in Kogi State, Central Nigeria

Robust inference for seemingly unrelated regression models

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