Incorporating Technological Change in Diffusion Models
Mary K. Knudson
American Journal of Agricultural Economics, 1991, vol. 73, issue 3, 724-733
Abstract:
The theoretical and empirical implications of a static and dynamic logistic diffusion model are compared. The dynamic model relaxes some assumptions of the static model by allowing for a flexible adoption ceiling, for changes in the technology, and for disadoption. Both models were used to estimate the diffusion of semi-dwarf wheat varieties in the United States. The dynamic model provides a better fit to the data and provides additional insights into the economic determinants of adoption. In particular, the importance of technological change in other areas (here, in fertilizer) on the diffusion path of an innovation was shown.
Date: 1991
References: Add references at CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
http://hdl.handle.net/10.2307/1242824 (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:73:y:1991:i:3:p:724-733.
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 ().