Innovation Behaviour At Farm Level – Selection And Identification
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Using a squential logit model and a mixed-effects logistic regression approach this empirical
study investigates factors for the adoption of automatic milking technology (AMS) at the
farm level accounting for problems of sequential sample selection and behaviour
identification. The results suggest the importance of the farmer’s risk perception, significant
effects of peer-group behaviour, and a positive impact of previous innovation experiences.
