Effect of farm level economic efficiency on income poverty status of rural farm households in Kogi State, central Nigeria

Onuche, U; Oladipo, Mojisola Abosede

doi:10.1080/20421338.2020.1831130

Cited by 4 publications

(6 citation statements)

References 12 publications

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“…As expected, total cropland had a negative effect on MPI, implying the likelihood of reducing household poverty as total cropland increases. This finding is consistent with results of previous studies that have examined the effect of farm size on poverty that household poverty is likely to decline as the farm size increases (Ogwumike and Akinnibosun, 2013;Gassner et al, 2019;Mdoe et al, 2020;Olarinde et al, 2020;Onuche and Oladipo, 2021). Specifically, the following activities need to be carried out: (i) promote use of manure for fertility improvement, (ii) promote use of animal power not only for land preparation but also for weeding and transportation of harvested crops to homesteads/warehouses/market and, (iii) promote use of crop residues and by-products from crop farms as livestock feed.…”

Section: The Effect Of Livestock On Household Poverty: Results Of the Probit Modelsupporting

confidence: 92%

Livestock, Crop Commercialisation and Poverty Reduction Among Rural Households in the Singida Region, Tanzania

Mdoe¹,

Mlay²,

Boniface³

et al. 2021

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Livestock is an important component of mixed crop-livestock farming systems in the Singida Region in Tanzania, directly or indirectly contributing to household income, food security and poverty reduction among rural people in the region. This paper examined the effect of livestock on crop commercialisation and farmers’ livelihoods in the region. The complementarity between crops and livestock in the farming systems of Singida needs to be recognised, enhanced and utilised not only by farmers and livestock keepers, but also by local government authorities and development practitioners.

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Section: The Effect Of Livestock On Household Poverty: Results Of the Probit Modelsupporting

confidence: 92%

Livestock, Crop Commercialisation and Poverty Reduction Among Rural Households in the Singida Region, Tanzania

Mdoe¹,

Mlay²,

Boniface³

et al. 2021

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“…The allocative efficiency estimate for beneficiaries is better than those found in non-interventionist based studies on the same area. Onuche and Oladipo (2020) found an allocative efficiency of 1.38 in a study in Kogi state. Similarly, Ani et al (2013) reported an allocative efficiency estimate of 1.275 for groundnut farmers in Benue.…”

Section: Allocative Efficiency Estimates Of Beneficiaries and Non-ben...mentioning

confidence: 94%

“…A major goal of the Fadama programme was improved production efficiency which was expected to manifest in the efficiency of the optimization of output and resource allocation. Such a goal, if met, could reduce poverty (Onuche and Oladipo, 2020;Gelaw, 2013).…”

Section: Introductionmentioning

confidence: 99%

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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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“…i Household income exceeds the household expenditure [29,30]. ii The per capita income surpasses the regional poverty line [31,32]. The poverty line represents the minimum amount required by an adult to meet basic daily needs, which include food, non-food items, education, and health [33].…”

Section: Source Of Farmer Household Incomementioning

confidence: 99%

Sorghum Contribution to Increased Income and Welfare of Dryland Farmer Households in Wonogiri, Indonesia

Sahara¹,

Triastono²,

Praptana

et al. 2023

Agriculture

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Sorghum is uniquely adapted to dryland and used by the Indonesian government to optimize the utilization of dryland and increase farmers’ incomes. The objective of this study was to analyze the contribution of sorghum to increasing income and the level of welfare of dryland farmer households in Wonogiri, Central Java, Indonesia. The study was conducted from October to December 2022 using a survey method through direct interviews with purposively selected sorghum-growing farmers. A set of questions included household income and expenditure. The average total income and expenditure indicators, poverty line figures, RMW, and ERFHI were used to measure the welfare level of farmer households. The study found that the income derived from sorghum contributes 22.87% to total household income and tends to increase household income by 29.65%. According to the average total income earned, farming households were in a prosperous condition. This can be seen from the total income, which is higher than the total expenditure, the average per capita income higher than the poverty line, the average total income higher than RMW, and the value of ERFHI at 1.25. Income derived from sorghum has increased by 21.43–56.00% from less prosperous households to prosperous ones. The results of this study are expected to contribute to the existing literature on sorghum development and farmers’ income and to be a reference for policy makers in formulating poverty alleviation programs and improving the welfare of farmer households, as well as expanding sorghum development by optimizing the utilization of agroecological, economic and social resources.

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Effect of farm level economic efficiency on income poverty status of rural farm households in Kogi State, central Nigeria

Cited by 4 publications

References 12 publications

Livestock, Crop Commercialisation and Poverty Reduction Among Rural Households in the Singida Region, Tanzania

Livestock, Crop Commercialisation and Poverty Reduction Among Rural Households in the Singida Region, Tanzania

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

Sorghum Contribution to Increased Income and Welfare of Dryland Farmer Households in Wonogiri, Indonesia

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