CONSUMPTION ANALYSIS OF PROTEINOUS FOODS IN REMO DIVISION, OGUN STATE, NIGERIA

This study examined the consumption of proteinous food in Remo division of Ogun State, Nigeria. Primary data were obtained in a cross-section survey of 120 randomly selected households drawn by a combination of a multi-stage random sampling and stratified random sampling techniques. Descriptive statistics and ordinary least square (OLS) regression techniques were employed for data analysis. The descriptive statistics of the socio-economic characteristics of proteinous food consumers show that majority (56.7%) of the household heads are about 40 years old, most (73%) of the households’ heads are males, of which about 68% are married. A high percentage of the households heads are well educated with mean household size of 4 and mean monthly income of N15, 000.00. The per capita expenditures on the two classes of proteinous source of foods indicate that the mean per capita expenditure (N 1266.11) on animal protein source food (APSF) is greater than the per capita expenditures (N239.12) on plant protein source food (PPSF). The results show that animal protein and plant protein consumption accounted for N5, 064.43 and N956.48 of the household monthly disposable income respectively, representing 41% and 7.8% of household monthly disposable income of the household. With respect to the determinants of plant protein source food (APSF) and plant protein food consumption, the linear regression model was chosen as the lead equations on the basis of high R2, the conformity of the signs of the coefficients with apriori expectations. The R2 for animal protein source food (APSF) consumption is 0.80 indicating that 80% of the variations in APSF consumption is due to the influence of the explanatory variables while that plant protein source food consumption is rather low (29%). Household income, household size and years of schooling are the variables that significantly and positively influence APSF consumption while plant protein source food (PPSF) consumption was only influenced by household disposable income