The study investigated the socio-economic factors affecting potato consumption among households in Odeda Local Government Area (LGA), Ogun State. Multistage sampling technique was used to gather information from 80 households using a structured questionnaire. Data collected were analyzed using descriptive statistics and regression model. The study showed that 67.5 % of the household-heads were male, 42.5 % were less than 30 years old, more than half (53.8 %) had income less than NG₦50,000.00 (US$322.59) monthly while 55 % and 68.8 % spend less than NG₦2,000.00 (US$12.90) on sweet and Irish potato, respectively, on a monthly basis. The linear functional form for sweet potato regression result showed that the total household income and sweet potato market price were both significant at 5 % with the coefficient of determination (R 2 ) being 0.611 while the double-log functional form for Irish potato regression result showed that age of household-head, Irish potato market price and price of substitute (yam) were significant at 5 %, 10 % and 10 %, respectively, with coefficient of determination (R 2 ) being 0.897; and had a positive relationship with potato consumption in the study area. Conclusively, the age of household-head, total monthly income, price of potato and price of substitute were factors that determined consumption of potato in the study area. In order to combat problems of malnutrition and to contribute to improvement in households' welfare in Odeda LGA, efforts should be intensified in ensuring that households have access to adequate quantity of food and promotion of households' education on the nutritional values and human nutrition with respect to age and gender are necessary.
This paper examined the factors that influenced profit from cocoa beans marketing in Ogun State, Nigeria. Fifty (50) cocoa beans marketers were selected using a multi-stage sampling technique. Data were collected with the aid of a structured questionnaire designed to solicit information on the socio-economic characteristics of the cocoa beans marketers, their operating costs and return and problems associated with cocoa beans marketing in the study area. Descriptive statistics, marketing margin analysis, gross margin analysis and the Ordinary Least Square (OLS) regression technique were em-ployed in the analysis of the study data. The study revealed that men (84%) are more involved in co-coa beans marketing than women. Further, the study finds cocoa beans marketing to be a profitable venture in the study area having a gross margin of ₦137,719.27 (US $ 885.51) per month and a mar-keting margin of N40,600 (US $ 261.94). The percentage marketing margin was 34.73% which implies that the cocoa beans marketers realize a margin of 34.76% of the farm price. The result of the OLS regression analysis revealed that cost of transportation, communication cost, volume of cocoa traded and membership of market union are the significant determinants of the profit margin that accrue to the cocoa beans marketer. The identified constraints to cocoa beans marketing in the study area in-clude low quality of cocoa beans, poor transportation facilities and inadequate capital. The study con-cluded that cocoa beans marketing is economically rewarding in the study area. It recommends that the government should help to provide good transportation facilities. Also, agricultural and commercial banks as well as other micro credit financial institutions should assist in providing credit facility to the marketers as this will enable them expand their scope of marketing and consequently improve their profit margin.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.