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Variety selection and diversification are climate change adaptation practices pursued by Colombian common bean producers. We investigate the drivers behind common bean variety selection and diversification in one of the most important common bean production regions in Colombia —Santander. The effects of climate change on this region are expected to be elevation driven. Exploiting the relationship between elevation-driven weather variations and climate change perception in Santander, we estimate an alternative-specific conditional logistic regression model to identify the determinants of common bean variety selection from a survey of producers. Using an ordered-logistic regression model, we also investigate the drivers behind common bean variety diversification within this farming community. We find that farms' elevation, household composition, and seed certification are some of the most important drivers behind farmers' common bean variety selection in Santander. We also find that varieties that sell at higher prices and have shorter vegetative cycles tend to be more preferred by farmers. Finally, farmers who receive more help from family members and own a tractor tend to grow more than one variety in the same production cycle. Common bean breeding programmes can exploit these drivers to design communication strategies to maximize uptake of newly developed common bean phenotypes. [Display omitted] • Variety- and farmer-specific determinants of common bean variety selection and diversification in Colombia are identified. • An alternative-specific conditional logistic regression model is used to identify the drivers behind variety selection. • An ordered logistic regression model is used to identify the drivers behind common bean variety diversification. • Variety selection depends on farms' elevation and household composition, plants' life cycle length, and market price. • Diversification depends on household composition, farms' geographical location, and farmers' ownership of capital goods. [ABSTRACT FROM AUTHOR]