Data/hora: 11/06/2024 05:30:33

Provedor de dados: 	Research in Agricultural & Applied Economics (AgEcon Searh)	
País: 	United States	
Título: 	A Dynamic Decision Model of Technology Adoption under Uncertainty: Case of Herbicide-Resistant Rice	
Autores: 	Annou,   Mamane Malam; Wailes,   Eric J.; Thomsen,   Michael R.	
Data: 	2008-09-30	
Ano: 	2005	
Palavras-chave: 	Biotechnology; Herbicide resistance; Mathematical programming; Profit maximization; Rice; Risk; Rotation; Technology; Adoption; Crop Production/Industries; Production Economics; Research and Development/Tech Change/Emerging Technologies; Q16; Q18; O33; C61.	
Resumo: 	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.	
Tipo: 	Journal Article	
Idioma: 	Inglês	
Identificador: 	http://purl.umn.edu/43724	
Relação: 	Journal of Agricultural and Applied Economics&gt;Volume 37, Number 01, April 2005	
Formato: 	12