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Research Article Open access CC BY 4.0

Analysis of Determinants of Demand for Rice in Sokoto North Local Government Area, Sokoto State

Sule Muhammed, Okaforocha Chika Maureen, Itodo Christian Itodo, Vicent Chuks Okafor

Asian Journal of Economics, Business and Accounting · pp. 43–53 · Published 7 Feb 2023

10.9734/ajeba/2023/v23i6940

Abstract

The research work analyzed the determinants of demand for rice in Sokoto North Local government Area of Sokoto state, Nigeria. Primary data were sourced using quota sampling technique to select 120 respondents from the study area with the aid of questionnaires. Statistical Package for Social Sciences (SPSS) was used to analyze the data. The use of tables, percentages and frequency counts form parts of the descriptive statistics while the inferential statistics include ordinary least square (OLS) multiple regression analysis. The results of regression have shown price of rice, household size and income of household to be statistically significant at 1%, 5% and 1% level respectively. The prices of substitute commodities were not significant. The demand for rice was found to be price inelastic; the income elasticity was positive and elastic, making rice a normal good. However, cross price elasticity with substitute commodities were not significant. Income of household being elastic affected the demand for rice in the area than price of rice. The study concluded that the statistically significant variables were responsible for the demand for rice in the study area. It finally recommended domestic production and milling of rice and value addition be encouraged with a view to discouraging importation of rice, saving foreign exchange and improving consumers’ real income among others.

Demand determinants rice elasticity Sokoto North

Cited by 2

Barriers and Enablers: A Study on the Determinants of Local Rice Consumption among Households in Delta State, Nigeria

Emmanuel, F. E., Gbigbi, T. M. · African Journal of Agriculture and Food Science · 2024

Showing 1 of 2 known citations — external sources report more than can currently be individually listed.

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