Innovation Behaviour At Farm Level – Selection And Identification

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dc.creatorSauer, Johannes
dc.creatorZilberman, David
dc.date2017-04-01T18:08:47Z
dc.date.accessioned2026-07-09T05:10:58Z
dc.descriptionUsing 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.
dc.identifierdoi:10.22004/ag.econ.61354
dc.identifierhttps://ageconsearch.umn.edu/record/61354/files/sauer.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/61354
dc.identifier.urihttp://hdl.handle.net/123456789/560135
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/61354
dc.titleInnovation Behaviour At Farm Level – Selection And Identification
dc.typeText

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