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May 11, 2025Keywords:
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Multinomial Logistic Regression Analysis of Determinants of the Adoption of Soil Erosion Control Measures by Rural Farmers in Akwa Ibom State, Nigeria
Abstract
This study was conducted in Akwa Ibom State, Nigeria. The study identified the causes of erosion and measures adopted to control the erosion and used the Multinomial Logistic Regression Model to analyze the determinants of soil erosion control measures used by farmers in the study area. A purposive sampling meth33od was used to select 356 respondents from a group of farmers in Akwa Ibom State. A questionnaire was used to gather data from the farmers. Data were analyzed using descriptive statistics and the Multinomial Logistic Regression Model. The study revealed that causes of soil erosion in the study area included overgrazing, sand excavation, climate change, road grading, topography, bush burning, land pollution, land clearing, and deforestation. It was also revealed that the most practice measures adopted by the farmers in controlling the effect of soil erosion in the study area were structural and vegetative measures respectively. The results also indicated that age, education, household size, credit, non-farm income, sex, training, extension visit, bumper harvest, and topography significantly determined the adoption of the various soil erosion control measures in the study area. The study therefore recommended that the government and other policymakers should encourage access to advisory services, literacy, and training of farmers especially the young ones as they play a key role in the adoption process of better soil management practices as major labor suppliers within the farm.
