Consumption Estimates of Food Calories in Port Harcourt Households, South-South Nigeria: LA/AIDS Approach

Authors : Adeyinka Aroyehun, Micheal Edaba, Grant Onyenma, Favour Edaba

Pages : 497-504

Doi:10.47115/bsagriculture.1466167

View : 37 | Download : 34

Publication Date : 2024-09-15

Article Type : Research Paper

Abstract :This research describes the analysis of the Port Harcourt city households, described the demand patterns survey to assess the impact of price, income and other factors on demand for food calories. The principal goal of this paper is to seek more refined estimates of the demand for calories consumed by Port-Harcourt households by utilizing data sets that include household consumption amounts, food commodity prices and expenditures, etc. Specifically, the paper employs the Linear Approximate Almost Ideal Demand System (LA/AIDS) to estimates expenditure elasticities for the aggregate commodities: rice, yam, garri, and fufu, providing an insight into differences in calories consumption levels and patterns across households in the ever-busy city. Results of the survey shows that one year increase in the education of household head decreases the share of fufu by 0.378 per cent while that of rice and yam increases by 0.067 and 0.711 percentage respectively. Again, male headed households spend more on fufu (0.590) compared to their female headed counterparts, while it is 0.590 and -0.365 percent smaller for garri and yam. The coefficient of the variables for household size equivalence is negatively significant for garri (-0.897) and fufu (-0.976). Results of tests of homogeneity shows that homogeneity condition in the estimated demand system holds only for fufu, yam and rice. In this connection, it is recommended that greater capacity must be built for multi-disciplinary research and development. Such research and development efforts will undoubtedly reveal a host of calorie food-based products and alternative processing technologies that will enhance household consumption of the products.
Keywords : Urban, Households, Elasticities, Consumption, Calories, Gender