An Approach to Predicting Demand for an Agricultural Innovation
AbstractHistorically research about diffusion has largely been focused on rates of adoption and explanations for them. This is a matter of secondary importance, arguably, to the question of the likely total level of adoption. In the case of agricultural innovations total adoption can be expected to be strongly correlated to the value attributed to the innovation by those producers for whom it is relevant. In this paper a model is presented which frames the components of the farm management context that substantially determine the valuation of innovations. This model has been developed over two decades of research into potential adoption.
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Bibliographic InfoArticle provided by University of Melbourne, Melbourne School of Land and Environment in its journal Australasian Agribusiness Review.
Volume (Year): 15 (2007)
Issue (Month): ()
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Web page: http://www.agrifood.info/review/
predicting demand; agricultural innovation; level of adoption; farm management; model; diffusion; Agribusiness; Farm Management; Research and Development/Tech Change/Emerging Technologies; Research Methods/ Statistical Methods; ISSN 1442-6951;
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- Abadi Ghadim, Amir K. & Pannell, David J., 1999. "A conceptual framework of adoption of an agricultural innovation," Agricultural Economics, Blackwell, vol. 21(2), pages 145-154, October.
- Ghadim, Amir K. Abadi & Pannell, David J., 1999. "A conceptual framework of adoption of an agricultural innovation," Agricultural Economics: The Journal of the International Association of Agricultural Economists, International Association of Agricultural Economists, vol. 21(2), October.
- Wright, Vic & Keeble, Brigette & Kaine, Geoff, 2013. "Framing and managing the adoption of practice change for NRM by farmers," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152185, Australian Agricultural and Resource Economics Society.
- Crosthwaite, Jim & Moll, Jim & Dorrough, Josh & Malcolm, Bill, 2009. "Re-organising farm businesses to improve environmental outcomes," Australasian Agribusiness Review, University of Melbourne, Melbourne School of Land and Environment, vol. 17.
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