Innovation Behaviour At Farm Level – Selection And Identification
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.
|Date of creation:||01 Apr 2009|
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|Contact details of provider:|| Web page: http://www.aes.ac.uk/|
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