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Innovation behaviour at farm level: Selection and identification

Johannes Sauer and David Zilberman

No 53276, 49th Annual Conference, Kiel, Germany, September 30-October 2, 2009 from German Association of Agricultural Economists (GEWISOLA)

Abstract: 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.

Keywords: Livestock Production/Industries; Research Methods/ Statistical Methods; Risk and Uncertainty (search for similar items in EconPapers)
Pages: 13
Date: 2009-10
New Economics Papers: this item is included in nep-dcm, nep-ino and nep-sbm
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Citations: View citations in EconPapers (6)

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Related works:
Working Paper: Innovation Behaviour At Farm Level – Selection And Identification (2010) Downloads
Working Paper: Innovation Behaviour At Farm Level – Selection And Identification (2009) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:ags:gaae09:53276

DOI: 10.22004/ag.econ.53276

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