Innovation behaviour at micro level - selection and identification
AbstractUsing a sequential 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 farmerâ€™s risk perception, significant effects of peer-group behaviour, and a positive impact of previous innovation experiences.
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Bibliographic InfoPaper provided by Department of Agricultural & Resource Economics, UC Berkeley in its series Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series with number qt6t49r0fh.
Date of creation: 24 Jun 2009
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Life Sciences; research; dairy industry; farmers; behavior modification;
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