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Innovation behaviour at farm level: Selection and identification

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  • Sauer, Johannes
  • Zilberman, David

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.

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File URL: http://purl.umn.edu/53276
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Bibliographic Info

Paper provided by German Association of Agricultural Economists (GEWISOLA) in its series 49th Annual Conference, Kiel, Germany, September 30-October 2, 2009 with number 53276.

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Date of creation: Oct 2009
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Handle: RePEc:ags:gaae09:53276

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Keywords: squential logit model; automatic milking technology (AMS); Livestock Production/Industries; Research Methods/ Statistical Methods; Risk and Uncertainty;

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Cited by:
  1. Hellberg-Bahr, Anneke & Steffen, Nina & Spiller, Achim, 2011. "Unternehmensstrategische Defizite in Genossenschaftsmolkereien: Eine mitgliederbasierte Fallstudie," 51st Annual Conference, Halle, Germany, September 28-30, 2011 114496, German Association of Agricultural Economists (GEWISOLA).

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