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.


Issue Date:
2010-04
Publication Type:
Conference Paper or Presentation
PURL Identifier:
http://purl.umn.edu/61354
Total Pages:
26




 Record created 2017-04-01, last modified 2017-04-04

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