The study examined the Hedonic price analysis of chicken meat cut in Bauchi State, Nigeria. A multi-stage sampling procedure was used to select 586 households in the study area and data were collected through the use of structured questionnaire. The data were analysed using descriptive and inferential statistics. The results of the study revealed that most (96.9%) of the household heads were male and married (89.8%) with about 35.7% of them having secondary education and 30.0% take farming as their occupation. The study also revealed the mean age, mean household size and mean monthly household head income as 41 years, 8 person per household and N47,481.46, respectively. The results of the hedonic regression analysis revealed that, age of the household head, sex of chicken, types of chicken breed, marital status and market locations were the major factors influencing the price of chicken in the study area. The major constraints to chicken consumption were financial problem, high cost of chicken, health related problems, poor sanitary condition of meat vendors as well as high prices of other food items of necessities. It was therefore recommended that, federal/State governments should enhance economic boasting programmes to improve the income of consumers; there should be a concerted effort on the part of government and non-governmental bodies on measures of increasing animal feeds and feeding to boast animal production. More study also needs to be done on segmentation and differentiation of chicken meat cuts based on international standard.
The study analyzed socio-economic characteristics of sheep and goats traders in Bauchi State, Nigeria. Multi-stage sampling technique was used to select 321 sheep traders and 220 goats’ traders. Data were collected with aid of structured questionnaire and analyzed using descriptive statistics and inferential statistics (mean score) were employed for the study. The result revealed that marketing of sheep and goats was dominated by married men with non-formal education and had marketing experience of 14 years to 18 years. However, the mean household size of sheep and goats traders was 9 persons and 7 persons, respectively. The mean current capital level of sheep and goats traders was N93,231.58 and N67,927.02, respectively. This shows that both sheep and goat’s traders in the study area were small scale traders. The result further discloses that, 51.40% and 47.73% of sheep and goats traders sourced their capital through personal savings, which are non-institutional credit sources. Inadequate capital (1st), poor access to formal credit (2nd), lack of standard unit of measurement (3rd), lack of cooperative/association (4th), disease and physical risk (5th) as well as seasonality of demand and supply (6th) were the major constraints associated with marketing sheep and goats in the study area. The study concludes that socio-economic characteristics of traders play an important role in marketing of sheep and goats in the study area, which will also have effects on the level of profit margin. The study recommends that traders should improve their level of education. This should be seen as a step option for combating illiteracy among traders in the study area. Provision of mini credit facilities to the traders, formation of sheep and goats traders association or cooperatives should be given serious consideration so as to improve the effectiveness of sheep and goats marketing in the study area.
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.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.