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Assessment of Labour Choice Decisions among Smallholder Cassava Farmers in Ikom LGA, Cross River State, Nigeria
Abstract
The study examined the assessment of labour choice decisions among smallholder cassava farmers in Ikom LGA of Cross River State, Nigeria. Data was collected from 60 farmers using a multistage sampling method. Data collected were analyzed using descriptive and inferential statistics such as means, percentages, tables, frequency, Multinomial logit regression, and Ordinary Least Square (OLS) multiple regression. Results of the study showed that 66% of farmers were married, with females dominating agricultural activities in the study area. Farmers' average farm size was 0.8ha, 70% have a household size of 6-10 people, and 70% have farming experience
ranging from 1 to 20 years. Family labour was the most common type of labour activity. Results of multinomial logit regression revealed that farming experience, educational level and income status were positive and significantly related to the probability of choosing hired labour while the household size and prevailing labour cost in the study area impacted positively the choice of hired labour. Also, the coefficient for farm size was positive and significantly related to the choice of both family and hired labour. Multiple regression analysis showed that factors such as hired labour, family labour, farming experience, farm size, and farmer household size
were significant predictors of cassava output in the study area. It was therefore recommended that policies encouraging land access be pursued and that a campaign promoting the profitability of cassava production in the study area be advocated for and intensified. Other incentives such as farm inputs, subsidies, access to loans, and training should be made available to cassava farmers to improve production and profitability.