This study investigated the economic effects of malaria on cocoa farmers in Ondo State, Nigeria using the ordinary least square regression technique. Descriptive statistics were used to identify strategies to reduce malaria infection among cocoa farmers. The sample frame for the study was derived from secondary data obtained from records of Ondo State Ministry of Health on registered cocoa farmers who had malaria during the production season in 2015. Multi-stage, systematic and purposive samplings were used to select 180 respondents for the study. Some of the variables measured include: annual income of farmers, direct cost of malaria treatment, number of days of incapacitation and additional labour cost incurred by the farmers during periods of incapacitation. Results from the study showed that the mean annual income estimate was â‚¦524,096. It was revealed that the cost of malaria treatment and additional labour cost incurred had a significant effect on the income of the farmers, however; the number of days of incapacitation had no significant effect on the income of cocoa farmers.
Key words: Malaria, income, ordinary least squares regression and cocoa.
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