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Innovation Behaviour At Farm Level â Selection And Identification Author info | Abstract | Publisher info | Download info | Related research | Statistics Sauer, Johannes
Zilberman, David
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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 farmerâs risk perception, significant effects of peer-group behaviour, and a positive impact of previous innovation experiences.
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Paper provided by Agricultural Economics Society in its series 83rd Annual Conference, March 30-April 1, 2009, Dublin, Ireland with number
51073.
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Date of creation: 01 Apr 2009Date of revision:
Handle: RePEc:ags:aesc09:51073Contact details of provider: Email: Web page: http://www.aes.ac.uk/ More information through EDIRC
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Keywords: Innovation ; Dairy Farming ; Sample Selection ; Mixed-Effects Modelling. ; Marketing ; D21 ; Q12 ; C5 ; Other versions of this item:
This paper has been announced in the following NEP Reports :
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: David M. Drukker & Richard Gates, 2006.
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