Meat Demand Analysis: A Case Study of Akungba-Akoko Township in Ondo State

R. Alimi ()

MPRA Paper from University Library of Munich, Germany

Abstract: This study examined the preference for and consumption pattern of meat types by individual households - Specifically, the study investigated the extent to which household income, household size and other socio-economic factors predicted monthly expenditure on meat. Three Hundred household heads were selected from the area using the simple random sampling technique. Results indicated that beef was the most preferred meat (60.14%), followed by chicken (29.72%) and turkey (26.92%). The proportion of household’s total expenditure on meat was high for low income households (on average 18%) while on average of 9% for middle/high income households. The percentage of household food expenditure expended on meat was high for both low income households and high income households relative to middle income households. The most important factor considered by households while purchasing meat was the taste and habits, followed by nutritional value and prices. Other factors observed were freshness, tenderness and religious sentiments.

Keywords: Expenditure Pattern; Meat Consumption; Households (search for similar items in EconPapers)
JEL-codes: B21 D12 (search for similar items in EconPapers)
Date: 2013-08-20
New Economics Papers: this item is included in nep-agr
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/49223/9/MPRA_paper_49223.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:49223

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().