Innovation behaviour at micro level - selection and identification

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.


Issue Date:
Jun 24 2009
Publication Type:
Working or Discussion Paper
DOI and Other Identifiers:
Record Identifier:
https://ageconsearch.umn.edu/record/120636
PURL Identifier:
http://purl.umn.edu/120636
Total Pages:
33
Series Statement:
CUDARE Working Papers
1087




 Record created 2017-04-01, last modified 2020-10-28

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