Browsing by Author "Akanbi, S. O"
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Item ASSESSMENT OF TECHNICAL EFFICIENCY OF BROILER FARMS IN KWARA STATE, NIGERIA(2022) Akanbi, S. O; Olohungbebe, S. A; Alao, B. IThis study examined the Assessment of Technical Efficiency of Broiler Farms in Kwara State, Nigeria. A three-stage sampling technique was used to select the sample. Structured questionnaire was administered to one hundred and twenty broiler farmers in the study area. The data was analysed using descriptive statistics, farm budgetary technique and stochastic frontier production function. Evidence from the results revealed that net farm income was N151,443.12 and a gross margin of N173,631, Evidence from the stochastic frontier production function revealed that the coefficient household size (P<0.05), household type (P<0.05) was statistically influenced broiler farmers production. Also, the source of light (P<0.01) and age (P<0.01) were positively and significant determinants of technical efficiency. Based on the findings in this study it is recommended that necessary measure must be taken to educate the farmers on the efficient use of various factor inputs particularly feed, through the dissemination of information to them by farmers group or extension services. Also, provision of credit facilities to farmers to enable them scale their production and integrate other agribusiness units to the production, improving the welfare of the farmers and the general welfare of the society through the creation of areas for employment and extending trade.Item LIVELIHOOD DIVERSIFICATION AMONG ARABLE FARM HOUSEHOLDS IN THE FOREST ZONE OF OYO STATE, NIGERIA(Nigerian Agricultural Journal, 2021) Jatto, K. A; Akanbi, S. O; Adeoye, A. S; Oke, O. O; Oyewole, O. OThe study assessed the livelihood diversification strategies among the arable farm households in the forest zone of Oyo State, Nigeria. A 3-stage random sampling technique was used to select a total of 160 arable farm households around some selected forest reserves for the study. A well-structured questionnaire was used for the collection of data. The analytical tools employed were descriptive statistics, livelihood index, and logistic regression model. The findings of the study revealed that the majority of the respondents were male (57.5%), educated (81.2%), married (71.9%), and had a household size of about 7 members. Non-timber forest products (NTFP) gathering (39.38%) was the most preferred livelihood diversification strategy followed by transportation business (16.88%), petty trading (13.75%), artisanal work (12.5%), firewood sales (6.25%), wage employed (4.38%), charcoal production (3.75%), timber sales (1.88%), and hunting (1.25%) in that order respectively. The forest-related livelihoods accounted for 52.5% of the predominant livelihood strategies, whereas, non-forest related livelihoods accounted for 47.5%. The significant predictors of the probability of engaging in forest-related strategies include; primary education, and secondary education (10% each); tertiary education, and household size (1% each), and age of household head (5%). The study recommends the intensification of local capacities of the farmers such as access to education and training facilities to enable them to access and process information, and credit to enhance their livelihood and minimize forest dependence.