Technical efficiency and costs of production among plantain farmers in Oyo state, Nigeria.

Awotide, D. O.; Adejobi, A O

doi:10.4314/mjar.v7i1.31848

Cited by 5 publications

(4 citation statements)

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“…This is an indication that land as a factor of production is very vital in cowpea production in the study area. This result is in conformity with the findings of Awotide & Adejobi (2006) which found out that farm size is one of the important factors in agricultural production.…”

Section: Effect Of Socio-economic Characteristics Of Cowpea Farmers U...supporting

confidence: 93%

Estimates of Stochastic Frontier Production Function of Small, Medium and Large-Scale Cowpea Farmers in Bauchi and Gombe States of Nigeria

Yakubu¹,

Yakubu²,

H.³

2020

JASD

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The research was conducted to determine maximum likelihood estimate of stochastic frontier production of small, medium and large-scale cowpea farmers in Bauchi and Gombe States of Nigeria. The major focus was on socio-economic attributes of the small, medium and large-scale cowpea farmers as well as the effects on their efficiency. A total of 323 small, medium and large scale cowpea farmers (i.e., 165 for small, 76 for medium and 82 for large) were selected using ballot box in 10 local government areas of the two States of the study area. Structured questionnaires and interview schedule were used as instruments for data collection. Data were analyzed using descriptive and Stochastic Frontier Analysis (SFA). The mean scores for small, medium and large-scale cowpea farmers in respect to ages, household size and farming experiences were 46, 44 and 47 years, 16, 17 and 19 persons and 12, 14 and 16 years, respectively. The Maximum Likelihood Estimates (MLE) result of the stochastic frontier production function (SFPF) for cowpea farmers indicated the presence of inefficiency. Farm size and herbicide were significant at P>0.001, seed (P>0.05) and family labour at P>0.01. In the efficiency effects, farming experience and household size were both significant at P>0.001; and extension contact and literacy level were significant at P>0.05, respectively.

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Section: Effect Of Socio-economic Characteristics Of Cowpea Farmers U...supporting

confidence: 93%

Estimates of Stochastic Frontier Production Function of Small, Medium and Large-Scale Cowpea Farmers in Bauchi and Gombe States of Nigeria

Yakubu¹,

Yakubu²,

H.³

2020

JASD

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“…The rate of return per capital invested (RORCI) is the ratio of profit to total cost of production. It indicates what is earned by the business by capital outlay (Awotide and Adejobi, 2007). The result revealed that the average 5.83 % implying that fish farming in the study area is profitable (Table 3).…”

Section: Growth and Production Of The Gilthead Seabreammentioning

confidence: 91%

“…This result is consistent with the finding of Ashaolu et al (2006) from their studies on profitability on fish farming. It indicates what is earned by the business by capital outlay (Awotide and Adejobi, 2007;Eid et al, 2020).…”

Section: Growth and Production Of The Gilthead Seabreammentioning

confidence: 99%

An Economical Evaluation of the Production of Seabream (Sparus aurata) in Suez Canal Region

Eid¹

2022

Journal of Animal, Poultry & Fish Production

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The present study investigated the effect of rearing the seabream in pond aquaculture with using artificial feeding in ponds throughout June, 2017 to June, 2018, Fingerlings of 1 g weight was stocked in pond with an area of 1 feddan and 1.25 m depth at a rate of 20000 fish/feddan in a monoculture system. Temperature ranged between 21.0 and 30.8°C; pH ranged between, 7.4 and 8.9; DO ranged between 4.0 and 5.0 mg/L and salinity, ranged between 16.0-18.8 ppt during the study. Seabream attained average final average final weight 250g/fish at harvest with an increment of 249g/fish and a daily gain of 0.46g/fish. Average survival rate was 77% and total production 3.8 ton and net production was 3.78 ton/feddan. The results revealed that the cost of feeds accounted for the largest proportion (30.03%) of the total cost of fish production, then fingerlings (1.66%), rent and other (0.09%) and labor (30.0%). This experiment demonstrated the possibility of cultivation of Seabream as well as the higher commercial value where better net return (146250 LE /feddan) was recorded with investment return of 8.80 LE / return LE cost. The results of the study revealed that Seabream is a promising candidate for cultivating in ponds.

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“…The two components V i and U i were assumed to be independent of each other where, V i is two sided, normally distributed random error (V i -N (0, ζ2v) and Ui are one sided, non-negative variables with a half-normal distribution (U i -N (0, ζ2u), which was assumed to account for technical inefficiency in production (Coelli, 2007;Okoruwa et al, 2006;Awotide & Adejobi, 2006).…”

Section: Model Specificationmentioning

confidence: 99%

Metafrontier Analysis of Access to Credit and Technical Efficiency among Smallholder Cocoa Farmers in Southwest Nigeria

Awotide¹,

Kehinde²,

Akorede³

2014

IBR

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It has been identified that limited access to timely credit has been a major constraint militating against increased agricultural productivity by farmers. Studies have shown that a large percentage of farmers faced with credit constraints have low production efficiencies. This study empirically investigated access to credit and technical efficiency (TE) of cocoa farmers in southwest Nigeria. The Study was conducted in Ogun State, southwest Nigeria. Primary data used for the study were collected in 2012 through a multi-stage sampling technique to select 240 cocoa farmers in the four (4) divisions of Ogun State. Data collected were analyzed using descriptive statistics, and Stochastic Metaproduction Frontier analyses. Tobit Regression Model was used to analyze the relationship between access to credit and technical efficiency among cocoa farmers in the study area. The study revealed that majority of the cocoa farmers did not have access to credit from formal institution implying negative consequences for agricultural productivity and household income generation. Most of the farmers borrowed relatively small size of loans for short duration. Estimates of the stochastic frontier models showed that cocoa farms in Ogun State had mean technical efficiency scores of 0.41, 0.94, 0.32 and 0.71 for farms in Yewa, Ijebu, Remo and Egba respectively. The results for the inefficiency model showed that age, education, experience, membership association, marital status, occupation, livelihood income, household size, and labour cost had significant effect on cocoa farmers in at least one division. The values of the Technology Gap Ration (TGR), together with the technical efficiencies obtained from the divisional stochastic frontiers (TE) and the metafrontier (TE*) were computed for all farmers in Ogun State. These results implied that the mean producer in Ijebu and Egba, if he or she were technically efficient, could still increase output by 6% and 29%, if he or she were to adopt the most efficient meta-technology for the division. Finally, there was a significant relationship between access to credit and technical efficiency of cocoa farmers. Evidence from the study revealed that majority of the poor cocoa farmers do not have access to credit from formal institution. Evidence from the metaproduction frontier showed that the mean productivity potential and technical efficiency ratios give additional explanation compared to the analysis based only on individual stochastic production frontiers. The productivity potential ratio plays an important part in explaining the ability of cocoa farmers in one division to compete with other farmers from different division at the state level. Based on the results, policy environment whereby individual cocoa farmers may have access to formal credit from banks and other agency, by forming groups, by means of using land use right certificates and also guarantor as a collateral would be a right direction in boosting cocoa production in the sub-region.

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Technical efficiency and costs of production among plantain farmers in Oyo state, Nigeria.

Cited by 5 publications

References 0 publications

Estimates of Stochastic Frontier Production Function of Small, Medium and Large-Scale Cowpea Farmers in Bauchi and Gombe States of Nigeria

Estimates of Stochastic Frontier Production Function of Small, Medium and Large-Scale Cowpea Farmers in Bauchi and Gombe States of Nigeria

An Economical Evaluation of the Production of Seabream (Sparus aurata) in Suez Canal Region

Metafrontier Analysis of Access to Credit and Technical Efficiency among Smallholder Cocoa Farmers in Southwest Nigeria

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