An Assessment of Gari Marketing in South-Western Nigeria

Afolabi, J. A.

doi:10.1080/09718923.2009.11892748

Cited by 12 publications

(12 citation statements)

References 1 publication

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“…This is contrary to the findings of a researcher which reported a Gini coefficient of 0.81296, to establish the existence of an oligopolistic market structure for grain markets in Southeast Nigeria [13].…”

Section: Market Structure Of Dry White Maize Grainscontrasting

confidence: 99%

Structure of Dry White Maize (<i>Zea Mays</i>) Market in Southeastern, Nigeria

Uchechukwu¹,

Nneamaka²

2018

IJAE

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This study examined the structure of participants in dry white maize (zea mays) marketing in Southeast, Nigeria. Specifically, it described the roles and linkages of dry white maize intermediaries and examined the dry white maize market structure in the study area. Multi-stage sampling method was used to select select three States (Anambra, Enugu and Imo), 15 Local Government Area (LGAs), 15 largest and busiest daily markets and 225 intermediaries (75 wholesalers and 150 retailers for the study) who were served with structured questionnaire to obtain primary data. Descriptive statistics, such as frequency distribution, flow chart and percentage were used to describe the market channels. The Gini coefficient was used to determine the market concentration or nature of competition in the market i.e. market structure. Four channels of dry maize were identified. Gini coefficient indices of 0.321 for producers/suppliers of white maize, 0.285 and 0.224 for wholesalers and retailers of white maize maize reflected evidence of a fairly competitive market. Government should provide necessary transportation facilities such as good network of roads and mass transit vehicles so as to ameliorate the transportation problems of the marketers, improve the distribution system and reduce unhealthy competition amongst the marketers.

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Section: Market Structure Of Dry White Maize Grainscontrasting

confidence: 99%

Structure of Dry White Maize (<i>Zea Mays</i>) Market in Southeastern, Nigeria

Uchechukwu¹,

Nneamaka²

2018

IJAE

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“…The result indicates that gender influences technical efficiency. This result is in consonance with earlier study by Umeh and Ataborh & Afolabi [16,17].…”

Section: Gendersupporting

confidence: 94%

“…This result implies that most of the OFSP marketers were within their middle, active and productive ages [15] and suggests that OFSP marketing business requires a lot of energy and is labour intensive, moving from one place to another to assemble the products for marketing and hawking. The result is in consonance with earlier studies by [16,17,18,19].…”

Section: Socio-economic Characteristics Of Respondentssupporting

confidence: 93%

“…This finding also supports the result of [22] who reported that large household size compliment labour to enhance production and productivity thereby leading to increase in income. [17]. This study is in agreement with the findings of [23,19,16] who stated that most rice marketers can read and write and had positive impact in the various marketing enterprise value chain in their respective study areas.…”

Section: Household Sizesupporting

confidence: 92%

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Marketing Efficiency of Orange-Fleshed Sweet Potato (OFSP) (Ipomoea batata (L) Lam) in Nasarawa State, Nigeria

Girei

Turai

Filli

2019

AJAEES

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The study assessed the marketing efficiency of orange fleshed sweet potato in Nasarawa State, Nigeria. The study covered six (6) Local Government Areas out of the thirteen (13). Two (2) LGAs each out of the three (3) Agricultural zones were selected. A random sampling technique was adopted and a sample size of (90) respondents was used. Primary data were collected through structured questionnaire and analyzed using descriptive statistics, and multiple linear regression model was used as tools of analysis. Results of the study showed that 38.9% of the respondents were still young and within the active age of 21-30. Also, majority 77.8% of the OFSP marketers, were married. The regression result of the determinants of OFSP market pricing efficiency shows a coefficient of multiple determination adjusted (R -2) of 0.595 which indicates that 59.5% variation in marketing efficiency of OFSP is explained by the independent variables. The independent variable marital status was positively significant at 1% level of probability which implies that an increase in marital status will increase the marketing of OFSP at 1% level of probability while input level though significant but was inversely significant at 5% level of probability and this implies that an increase in input level will have a decrease in the input level at 5% level of probability. Age of Respondent, gender, years of experience, quantity marketed and educational level was not significant. The study recommended that young, active and educated youths in the study area should take up OFSP marketing as a profitable venture that is capable of generating employment and self-reliance, instead of relying on government jobs.

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“…The net profit/margin for the various fish marketing channels is the net earnings after paying for all marketing cost as stated by Afolabi (2009) and specified thus: NM = PS − M (iii); where NM is net margin, PS is price spread for each intermediary, and MC is marketing cost for each intermediary. Marketing efficiency was determined as the ratio of value added (net return) to total marketing cost.…”

Section: Methodsmentioning

confidence: 99%

Cost and returns analysis of catfish marketing in Aba South Local Government Area of Abia State, Nigeria

Njoku¹,

Offor²

2017

Agro-Sci.

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The study analyzed the cost and returns of catfish marketing in Aba South Local Government Area of Abia State. Specifically, the study ascertained the socioeconomic profile of respondents, ascertained costs, returns and net returns of the marketers, determined the marketing margin, marketing efficiency and market share of participants in the market and estimated the determinants of income from catfish marketing. The constraints militating against catfish marketing were also identified. Multi-stage sampling technique was adopted in sampling 60 catfish marketers for the study. Data were collected using structured questionnaire. Data were analyzed using net returns and regression models. Results showed that majority of the respondents were male within active working age of 37 years. About 72% of the marketers were married, and 93.3% of them had formal education. The marketing of catfish was found to be viable as indicated by positive net returns of N109,539.67 per month. The coefficient of marketing efficiency was 83.8%, while the market share for wholesalers and retailers was 41.17 and 58.2%, respectively. Result of regression analysis indicated that marketing experience, age, education and quantity of catfish handled were significant at various probability levels. Inadequate capital and high cost of transportation were the major constraints to catfish marketing. It was recommended that catfish marketers should form cooperative society to enhance their access to finance, and the relevant variables that significantly influenced net income should be considered in policy issues.

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An Assessment of Gari Marketing in South-Western Nigeria

Cited by 12 publications

References 1 publication

Structure of Dry White Maize (<i>Zea Mays</i>) Market in Southeastern, Nigeria

Structure of Dry White Maize (<i>Zea Mays</i>) Market in Southeastern, Nigeria

Marketing Efficiency of Orange-Fleshed Sweet Potato (OFSP) (Ipomoea batata (L) Lam) in Nasarawa State, Nigeria

Cost and returns analysis of catfish marketing in Aba South Local Government Area of Abia State, Nigeria

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An Assessment of Gari Marketing in South-Western Nigeria

Cited by 12 publications

References 1 publication

Structure of Dry White Maize (&lt;i&gt;Zea Mays&lt;/i&gt;) Market in Southeastern, Nigeria

Structure of Dry White Maize (&lt;i&gt;Zea Mays&lt;/i&gt;) Market in Southeastern, Nigeria

Marketing Efficiency of Orange-Fleshed Sweet Potato (OFSP) (Ipomoea batata (L) Lam) in Nasarawa State, Nigeria

Cost and returns analysis of catfish marketing in Aba South Local Government Area of Abia State, Nigeria

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Product

Resources

About

Structure of Dry White Maize (<i>Zea Mays</i>) Market in Southeastern, Nigeria

Structure of Dry White Maize (<i>Zea Mays</i>) Market in Southeastern, Nigeria