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 Agricultural Economics Society in its series 83rd Annual Conference, March 30-April 1, 2009, Dublin, Ireland with number 51073.
Date of creation: 01 Apr 2009
Date of revision:
Innovation; Dairy Farming; Sample Selection; Mixed-Effects Modelling.; Marketing; D21; Q12; C5;
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," 49th Annual Conference, Kiel, Germany, September 30-October 2, 2009 53276, German Association of Agricultural Economists (GEWISOLA).
- 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-2009-08-16 (All new papers)
- NEP-INO-2009-08-16 (Innovation)
- NEP-SBM-2009-08-16 (Small Business Management)
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