Innovation behaviour at farm level: Selection and identification
AbstractUsing 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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Bibliographic InfoPaper provided by German Association of Agricultural Economists (GEWISOLA) in its series 49th Annual Conference, Kiel, Germany, September 30-October 2, 2009 with number 53276.
Date of creation: Oct 2009
Date of revision:
squential logit model; automatic milking technology (AMS); Livestock Production/Industries; Research Methods/ Statistical Methods; Risk and Uncertainty;
Other versions of this item:
- Sauer, Johannes & Zilberman, David, 2010. "Innovation Behaviour At Farm Level – Selection And Identification," 114th Seminar, April 15-16, 2010, Berlin, Germany 61354, European Association of Agricultural Economists.
- Sauer, Johannes & Zilberman, David, 2009. "Innovation Behaviour At Farm Level – Selection And Identification," 83rd Annual Conference, March 30-April 1, 2009, Dublin, Ireland 51073, Agricultural Economics Society.
- D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
- Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-09-19 (All new papers)
- NEP-DCM-2009-09-19 (Discrete Choice Models)
- NEP-INO-2009-09-19 (Innovation)
- NEP-SBM-2009-09-19 (Small Business Management)
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