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 evaluated the probability of investing offfarm income’s share of household income in farming among small-scale farmers in North-Central Nigeria. Multistage sampling technique was used to select 360 respondents. Primary data for the study were analysed using Heckman’s two-stage selection model. The lambda of the model was 1.38%, while the chisquare was significant. While education, household size and operating profit margin significantly (p < 0.05) increased the probability of off-farm work participation, education, total crop revenue, primary occupation, farm asset to household asset ratio, and asset turnover ratio significantly (p < 0.05) increased investible off-farm income's share. Thus, factors in the business environment, other than government policies, shape off-farm work and farm investment decisions. Therefore, policy thrust should focus on interest and tax rates reduction and ease of farm asset acquisition for small-scale farmers.
Ogbanje, Elaigwu Christopher. 2015. \u201cOff-Farm Incomes Share and Farm Investment in North-Central, Nigeria: The Heckman Selection Model Approach\u201d. Global Journal of Human-Social Science - E: Economics GJHSS-E Volume 15 (GJHSS Volume 15 Issue E3): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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Total Score: 106
Country: Nigeria
Subject: Global Journal of Human-Social Science - E: Economics
Authors: Ogbanje, Elaigwu Christopher., Chidebelu, Sonny A.N.D., Nweze, N.J. (PhD/Dr. count: 0)
View Count (all-time): 152
Total Views (Real + Logic): 4395
Total Downloads (simulated): 2152
Publish Date: 2015 05, Fri
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The study evaluated the probability of investing offfarm income’s share of household income in farming among small-scale farmers in North-Central Nigeria. Multistage sampling technique was used to select 360 respondents. Primary data for the study were analysed using Heckman’s two-stage selection model. The lambda of the model was 1.38%, while the chisquare was significant. While education, household size and operating profit margin significantly (p < 0.05) increased the probability of off-farm work participation, education, total crop revenue, primary occupation, farm asset to household asset ratio, and asset turnover ratio significantly (p < 0.05) increased investible off-farm income's share. Thus, factors in the business environment, other than government policies, shape off-farm work and farm investment decisions. Therefore, policy thrust should focus on interest and tax rates reduction and ease of farm asset acquisition for small-scale farmers.
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