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Information and the Speed of Innovation Adoption

Information and the Speed of Innovation Adoption Within a Bayesian framework, a random‐effects model is developed and applied to adoption of new wheat varieties in South Australia. In this model, not all pieces of information add equally to knowledge about the innovation. The model shows the acquisition of information to be much slower than has been suggested by previous Bayesian models and can also explain laggards and partial adoption. The results have important practical implications for farmers and support agencies. The paper's theoretical contributions are to highlight the structure of information, and to demonstrate how qualitative results can be obtained where the posterior Bayesian distribution is intractable. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png American Journal of Agricultural Economics Wiley

Information and the Speed of Innovation Adoption

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References (23)

Publisher
Wiley
Copyright
© Agricultural and Applied Economics Association
ISSN
0002-9092
eISSN
1467-8276
DOI
10.2307/1243863
Publisher site
See Article on Publisher Site

Abstract

Within a Bayesian framework, a random‐effects model is developed and applied to adoption of new wheat varieties in South Australia. In this model, not all pieces of information add equally to knowledge about the innovation. The model shows the acquisition of information to be much slower than has been suggested by previous Bayesian models and can also explain laggards and partial adoption. The results have important practical implications for farmers and support agencies. The paper's theoretical contributions are to highlight the structure of information, and to demonstrate how qualitative results can be obtained where the posterior Bayesian distribution is intractable.

Journal

American Journal of Agricultural EconomicsWiley

Published: Nov 1, 1996

Keywords: ; ; ; ; ;

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