Using Multinomial Logistic Regression Model (MLRM) to assess the Factors influencing the selection of Farming Business by Cassava and Rice Farmers in Bombali District, Sierra Leone.
Volume 5 - Issue 11, November 2022 Edition
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Author(s)
Alhaji Mohamed Hamza Conteh, Brima Gebge , Sanpha Kallon
Keywords
Multinomial Logistic Regression,Business Selection, Bombali District
Abstract
This research assessed the factors influencing the selection of a business by cassava and rice farmers in Bombali district, Sierra Leone. The primary data were obtained by using a multi-stage sampling procedure. Well-structured questionnaire was administered to 150 randomly selected cassava and rice farmers to prompt pertinent facts from respondents in the selected study area. A Multinomial Logistic Regression Model (MLRM) was employed to assess the factors influencing the selection of business by cassava and rice farmers in the study area. The findings shown that majority (70.00%) of the farmers’ selected only rice farming business while as 20.00 % and 10.00 % of the farmers’ selected only cassava farming business and rice and cassava as mixed farming business respectively. Additionally, the study shown a yearly mean of 1.97 tons of combined rice and cassava output, as well as a farm size of 1.21 ha for each farmer, a clue that the research covered subsistence family owned farm sites. The respondents were youths, with elementary formal education. The Logistic regression model presented that farm size, output and revenue from the selected business positively and significantly influence a farmer’s preferred business. This suggests that the likelihood of selecting cassava or rice business increased with revenue netted from the business, output and farm size from selected business. The partial elasticities of output and revenue for rice and joint business were elastic, though other related factors along the sets equally classified were inelastic. This research work consequently, recommended that extension officials ought to intensify the awareness on various kinds, procedures and practices obtainable for cassava and rice farming to additionally advance their acceptance. Similarly, farm training programs on better management practices to increase cassava and rice output ought to be known to the cassava and rice cultivators.
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