Information and the Speed of Innovation Adoption

A.J. Fischer, A.J. Arnold and M. Gibbs

American Journal of Agricultural Economics, 1996, vol. 78, issue 4, 1073-1081

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. Copyright 1996, Oxford University Press.

Date: 1996
References: Add references at CitEc
Citations: View citations in EconPapers (21)

Downloads: (external link)
http://hdl.handle.net/10.2307/1243863 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:ajagec:v:78:y:1996:i:4:p:1073-1081

Access Statistics for this article

American Journal of Agricultural Economics is currently edited by Madhu Khanna, Brian E. Roe, James Vercammen and JunJie Wu

More articles in American Journal of Agricultural Economics from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().