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Innovation Behaviour At Farm Level – Selection And Identification

  • Sauer, Johannes
  • Zilberman, David

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/51073
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Paper provided by Agricultural Economics Society in its series 83rd Annual Conference, March 30-April 1, 2009, Dublin, Ireland with number 51073.

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Date of creation: 01 Apr 2009
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Handle: RePEc:ags:aesc09:51073
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  1. Kim, Kwansoo & Chavas, Jean-Paul, 2003. "Technological change and risk management: an application to the economics of corn production," Agricultural Economics, Blackwell, vol. 29(2), pages 125-142, October.
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  13. Sunding, David & Zilberman, David, 2001. "The agricultural innovation process: Research and technology adoption in a changing agricultural sector," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 4, pages 207-261 Elsevier.
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  22. Awudu Abdulai & Pierre Monnin & Jacques Gerber, 2008. "Joint estimation of information acquisition and adoption of new technologies under uncertainty," Journal of International Development, John Wiley & Sons, Ltd., vol. 20(4), pages 437-451.
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