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 farmerâ€™s risk perception, significant effects of peer-group behaviour, and a positive impact of previous innovation experiences.

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Year of publication:	2009-06-24
Authors:	Sauer, Johannes ; Zilberman, David D.
Institutions:	Department of Agricultural and Resource Economics, University of California-Berkeley
Subject:	Life Sciences \| research \| dairy industry \| farmers \| behavior modification

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Extent:	application/pdf
Series:	Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series Department of Agricultural and Resource Economics, UCB
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011130830