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.

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Year of publication:	2009-04-01
Authors:	Sauer, Johannes ; Zilberman, David
Institutions:	Agricultural Economics Society - AES
Subject:	Innovation \| Dairy Farming \| Sample Selection \| Mixed-Effects Modelling. \| Marketing

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Extent:	application/pdf
Series:	83rd Annual Conference, March 30-April 1, 2009, Dublin, Ireland.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series 83rd Annual Conference, March 30 - April 1, 2009, Dublin, Ireland Number 51073
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10004964508