Abstract
The study was carried out to determine the factors affecting farmer’s willingness to export yam in Oyo State. This study used data collected from a multistage sampling of 80 yam farmers. Analytical techniques used include descriptive statistics and probit model. The results showed that majority of farmers in the study area are ageing, with a mean age of 57.21. It was also observed that there were more males (87.5%) than females (12.5%) and that 71.2% of farmers had formal education. The result of probit analysis showed that farm size (0.81, p = 0.002) was a significant factor determining the willingness of farmers to export. This means as the farmers' farm size increases so also is their willingness to export. The result also revealed that an increase in other occupation (0.96, p = 0.154) of the respondents will bring about an increase in their willingness to export yam. This suggests that farmers who had other sources of income might be more willing to export yam. It was therefore concluded that when more land is allocated to yam production and financial support is made available to farmers in the study area, their willingness to export yam would increase.
Highlights
Yam is a tropical crop in the genus Dioscorea
Yam is in the class of roots and tubers which is a staple of the Nigerian and West African diet that provides about 200 calories of energy per capita daily
The a-priori expectation is negative, the higher the quantity of yam consumed by the farmer the less will be his willingness to export
Summary
Yam is a tropical crop in the genus Dioscorea. It has 600 species out of which six are economically important staple species. With an increase in the real income, the welfare of farmers is sure to increase which will give incentive to farmers to boost production thereby making yam readily available in the domestic market whether for direct consumption or as raw materials for industrial use and meeting with the first (No poverty) and second (Zero hunger) goals of the Sustainable Development Goals (SDGs). In analyzing this objective, discrete choice models are normally used. To increase rates of adoption, the information should be delivered in a method suitable for farmers with a low literacy level
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