This study aimed to explain the level of adoption of vegetable technologies among the youth members of 4-H clubs in some parts of Southern Leyte, Philippines, and expose its governing predictors. The data gathering employed cross-sectional and primary information among the 118 youth members selected in the form of a census. The study used a researcher-developed research instrument adapted from existing studies in the literature. The collected data were summarized using some standard descriptive metrics in statistics and an ordinal regression (...) model was constructed to determine the predictors of vegetable technology adoption. The findings revealed that there are only a few youth members are implementing (8.47%) and adopting (4.24%) the vegetable technologies even if they have positively perceived the 4-H coordinator. The regression model revealed that youth members are more like to implement the vegetable technology if they have a higher income (p-value<0.1), they have no financial debt (p-value<0.01) and they learned from an effective 4-H coordinator (p-value<0.1). Furthermore, the ordered regression model revealed that youth members are going to implement (p-value<0.01) and adopt (p-value<0.01) the technology if it is not complex to follow. Conclusively, the local government must support the youth members regarding the financial aspect, and by providing expert agricultural extension agents to guide them in implementing and adopting the vegetable technologies. (shrink)