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.


Subject(s):
Issue Date:
Apr 01 2009
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/51073
Total Pages:
31
JEL Codes:
D21; Q12; C5




 Record created 2017-04-01, last modified 2017-08-25

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