Analysis of Factors Responsible for Project Cost Variation in Enugu, Nigeria

Eboh, E. E.; Egolum, Charles Chukwunwike; Ezeokoli, F. O.; Onyia, C. I.

doi:10.9734/jsrr/2019/v25i3-430180

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…The ratios were calculated as follows: Analysis of variance (ANOVA) was used to achieve objeective two. ANOVA involves the test of significant difference among three or more sample means or the test of null hypothesis that the sample means are all equal (Eboh, 2009). Thus, it was used to test the hypothesis that net incomes made on fresh tomato across zones were not the same.…”

Section: Analytical Techniquesmentioning

confidence: 99%

Comparative Analysis of Net Incomes for Supply Chain Actors of Fresh Tomato in Bauchi State, Nigeria

Atman¹,

Mohammed²,

Yakubu³

2021

JASD

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The study compared the net farm income of fresh tomato supply chain actors (SCAs) among central, western and northern zones of Bauchi State. Primary data were collected with the use of a structured questionnaire. Simple random sampling technique was used to select 658 supply chain actors (producers, wholesalers, and retailers). The data collected were analysed using farm budgeting technique and analysis of variance (ANOVA). The result reveals net incomes of N186025.35, N321883.48 and N 66858.45 for producers, wholesalers and retailers, respectively. Also, the study shows returns per naira invested on every one naira as N0.78, N0.29 and N0.2, minimum net incomes of N -314058.33, N -2499400, N-80250.00 and maximum net incomes of N979826.67, N 4929150.00, N 368050.0 for producers, wholesalers and retailers, respectively. The result shows significant differences in the net incomes of wholesalers and produce; wholesalers and retailers; and between retailers and producers at p < 0.05 and P<0.01 was observed. The result further reveals minimum costs incurred as N115122.50, N253450.00, N73470.00 and maximum costs incurred as N 805658.33, N4026350.00 and N 725570.00 for the SCAs. The result indicated significant differences in costs incurred between wholesalers and producers, wholesalers and retailers at P<0.01. The study concluded that fresh tomato production and marketing in the study area was profitable among the supply chain actors. It can also be said that there was significant differences in both the net incomes obtained and costs incurred by the supply chain actors among the zones. The study recommends that decisions on fresh tomato production and marketing be adjusted and re-established so as to optimise their profits. Also, SCAs can sell their products online by registering their product and location. This will allow easy access of the product by customers and it will help broaden fresh tomato market, which in turn will increase the income of the supply chain actors in the study area.

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Section: Analytical Techniquesmentioning

confidence: 99%

Comparative Analysis of Net Incomes for Supply Chain Actors of Fresh Tomato in Bauchi State, Nigeria

Atman¹,

Mohammed²,

Yakubu³

2021

JASD

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“…According to the extension office of Sokoto Rima River Basin Development Authority (SRRBDA) attached to the irrigation project, 640 farm households from the sampled villages used the Goronyo dam irrigation infrastructure for 2014/2015 cropping season. In order to arrive at appropriate sample size, equation for sample size determination as reported by Eboh (2009) as specified in eq. 1 was used: where; n = the sample size, N = the population size e = the level of precision which is 5%.…”

Section: Sampling Techniquesmentioning

confidence: 99%

Technical Efficiency in Arable Crop Production Under Goronyo Irrigation Project of Sokoto State, Nigeria

Mohammed¹,

Baba²,

Nmadu³

et al. 2019

JASD

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The study examined the technical efficiency in arable crop production under Goronyo irrigation project of Sokoto State, Nigeria. Multi-stage sampling technique was used to sample 246 farmers and the limited cost-route approach was used with the aid of questionnaire. Stochastic frontier production function (SFPF) model was used in estimating farm level technical efficiency. The study also revealed the average technical efficiency index of rice, maize, cowpea and tomato farms to be 0.87, 0.79, 0.45 and 0.76, respectively and that technical inefficiency effect existed among the farmers. Estimates of technical efficiency of farmers revealed that average sampled farms operate 13%, 21%, 55% and 24% below the frontier output levels for rice, maize, cowpea and tomato farms under consideration. Farmers are fairly efficient technically in deriving maximum output from rice, maize and tomato farm and less technically efficient in the production of cowpea. Extension contact was one of the major factor that influences technical efficiency in the area, therefore, sustained farmers extension contact should be encourage by increasing frequency of contact where new techniques will be disseminated to the farmers to improve the use of available resource.

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