Innovation Behaviour At Farm Level – Selection And Identification

Abstract

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.Technology Adoption, Mixed-Effects Regression, Risk, Agricultural and Food Policy, Farm Management, Land Economics/Use,