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

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.


Issue Date:
2005-04
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/43724
Published in:
Journal of Agricultural and Applied Economics, Volume 37, Number 1
Page range:
161-172
Total Pages:
12
JEL Codes:
Q16; Q18; O33; C61




 Record created 2017-04-01, last modified 2017-08-25

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