Innovation behaviour at micro level - selection and identification

Johannes Sauer and David Zilberman

No 120636, CUDARE Working Papers from University of California, Berkeley, Department of Agricultural and Resource Economics

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: Farm Management; Livestock Production/Industries (search for similar items in EconPapers)
Pages: 33
Date: 2009-06-24
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Citations: View citations in EconPapers (4)

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Working Paper: Innovation behaviour at micro level - selection and identification (2009)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:ucbecw:120636

DOI: 10.22004/ag.econ.120636

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