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.
