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...

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Bibliographic Details
Published in:Journal of agricultural and applied economics 2005-04, Vol.37 (1), p.161-172
Main Authors: Annou, Mamane M., Wailes, Eric J., Thomsen, Michael R.
Format: Article
Language:English
Subjects:
Agricultural production
biotechnology
Biotechnology industry
C61
Crop diseases
Crop rotation
decision making
decision support systems
Efficiency
fungal diseases of plants
Glycine max
grass weeds
herbicide resistance
Herbicides
innovation adoption
mathematical models
Mathematical programming
O33
Oryza sativa
plant pathogenic fungi
Profit maximization
profitability
Profits
Q16
Q18
Rice
risk
risk management
rotation
seed germination
Seeds
Soybeans
stochastic processes
Technology adoption
uncertainty
weed control
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Summary: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.
ISSN:1074-0708
2056-7405
1074-0708
DOI:10.1017/S1074070800007173