Innovation behaviour at micro level - selection and identification

Johannes Sauer and David Zilberman

Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series from Department of Agricultural & Resource Economics, UC Berkeley

Abstract: Using 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 farmer’s risk perception, significant effects of peer-group behaviour, and a positive impact of previous innovation experiences.

Keywords: Life Sciences; research; dairy industry; farmers; behavior modification (search for similar items in EconPapers)
Date: 2009-06-24
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Working Paper: Innovation behaviour at micro level - selection and identification (2009)
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