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

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Extent:	application/pdf
Series:	CUDARE Working Paper Series.
Type of publication:	Book / Working Paper
Notes:	Number 1087 33 pages
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008583368