A Dynamic Decision Model of Technology Adoption under Uncertainty: Case of Herbicide-Resistant Rice

Mamane M. Annou, Eric J. Wailes and Michael R. Thomsen

Journal of Agricultural and Applied Economics, 2005, vol. 37, issue 1, 161-172

Abstract: Herbicide-resistant (HR) rice technology is a potential tool for control of red rice in commercial rice production. Using an ex ante mathematical programming framework, this research presents an empirical analysis of HR rice technology adoption under uncertainty. The analysis accounts for stochastic germination of red rice and sheath blight to model a profit maximization problem of crop rotation among HR rice, regular rice, and soybeans. The results demonstrate that risk attitudes and technology efficiency determine adoption rates and optimal rotation patterns.

Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:cup:jagaec:v:37:y:2005:i:01:p:161-172_00

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