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:	2009-10
Authors:	Sauer, Johannes ; Zilberman, David
Institutions:	Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues - GEWISOLA
Subject:	squential logit model \| automatic milking technology (AMS) \| Livestock Production/Industries \| Research Methods/ Statistical Methods \| Risk and Uncertainty

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Extent:	application/pdf
Series:	49th Annual Conference, Kiel, Germany, September 30-October 2, 2009.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series 49th Annual Conference, Kiel, Germany, September 30-October 2, 2009 Number 53276
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005026700