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:	2010-04
Authors:	Sauer, Johannes ; Zilberman, David
Institutions:	European Association of Agricultural Economists - EAAE
Subject:	Technology Adoption \| Mixed-Effects Regression \| Risk \| Agricultural and Food Policy \| Farm Management \| Land Economics/Use

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Extent:	application/pdf
Series:	114th Seminar, April 15-16, 2010, Berlin, Germany.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series 114th Seminar, April 15-16, 2010, Berlin, Germany Number 61354
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008508943