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Innovation behaviour at micro level - selection and identification

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  • Sauer, Johannes
  • Zilberman, David D.

Abstract

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.

Suggested Citation

  • Sauer, Johannes & Zilberman, David D., 2009. "Innovation behaviour at micro level - selection and identification," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6t49r0fh, Department of Agricultural & Resource Economics, UC Berkeley.
    • Handle: RePEc:cdl:agrebk:qt6t49r0fh
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    2. Ferto, Imre & Forgacs, Csaba, 2009. "Is organic farming a chance for family farms to survive?," 111th Seminar, June 26-27, 2009, Canterbury, UK 52862, European Association of Agricultural Economists.
    3. 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).
    4. Beer, Lara & Theuvsen, Ludwig, 2020. "Factors influencing German farmer’s decision to grow alley cropping systems as ecological focus areas: a regression analysis," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 23(4), June.

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