Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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The study analyzed the risk preferences and coping strategies among poultry farmers in Abeokuta, Nigeria. The multistage sampling technique was used to select 70 poultry farmers for the study. Data obtained were analyzed using descriptive statistics, risk behavioural and multiple regression models. Results showed that 64% of the farmers had tertiary education, 81% had previous risk experience, 76% earned above N100,000 ($ 625) monthly. Major sources of risk included market and production risks. Common risk coping strategies included increasing staff working hours and diversification of enterprise. Some 53% of the farmers are risk seekers. Factors which positively and significantly (p≤0.05) determine risk preference included age, educational level, household size, cooperatives participation, credit access and income level. It is recommended that government efforts should be directed towards reducing production and market risks; enhancing farmers’ participation in cooperatives and facilitating access to agricultural credit facilities to indirectly insure farms against risks.
Babalola D. Akinola. 2014. \u201cRisk Preferences and Coping Strategies among Poultry Farmers in Abeokuta Metropolis, Nigeria\u201d. Global Journal of Science Frontier Research - D: Agriculture & Veterinary GJSFR-D Volume 14 (GJSFR Volume 14 Issue D5): .
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
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Total Score: 101
Country: Nigeria
Subject: Global Journal of Science Frontier Research - D: Agriculture & Veterinary
Authors: Babalola D. Akinola (PhD/Dr. count: 0)
View Count (all-time): 152
Total Views (Real + Logic): 4395
Total Downloads (simulated): 2122
Publish Date: 2014 07, Sat
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The study analyzed the risk preferences and coping strategies among poultry farmers in Abeokuta, Nigeria. The multistage sampling technique was used to select 70 poultry farmers for the study. Data obtained were analyzed using descriptive statistics, risk behavioural and multiple regression models. Results showed that 64% of the farmers had tertiary education, 81% had previous risk experience, 76% earned above N100,000 ($ 625) monthly. Major sources of risk included market and production risks. Common risk coping strategies included increasing staff working hours and diversification of enterprise. Some 53% of the farmers are risk seekers. Factors which positively and significantly (p≤0.05) determine risk preference included age, educational level, household size, cooperatives participation, credit access and income level. It is recommended that government efforts should be directed towards reducing production and market risks; enhancing farmers’ participation in cooperatives and facilitating access to agricultural credit facilities to indirectly insure farms against risks.
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