Data/hora: 10/06/2024 06:28:47

Provedor de dados: 	Research in Agricultural & Applied Economics (AgEcon Searh)	
País: 	United States	
Título: 	Valuing Transgenic Cotton Technologies Using a Risk/Return Framework	
Autores: 	Bryant,   Kelly J.; Reeves,   Jeanne M.; Nichols,   Robert L.; Greene,   Jeremy K.; Tingle,   Christopher H.; Studebaker,   Glenn E.; Bourland,   Fred M.; Capps,   Charles D.; Groves,   Frank E.	
Data: 	2009-02-10	
Ano: 	2008	
Palavras-chave: 	Cotton; Financial risk; Market value; SERF; Transgenic; Agribusiness; Crop Production/Industries; Risk and Uncertainty; Q12; Q16.	
Resumo: 	Stochastic Efficiency with Respect to a Function (SERF) is used to rank transgenic cotton technology groups and place an upper and lower bound on their value. Yield and production data from replicated plot experiments are used to build cumulative distribution functions of returns for nontransgenic, Roundup Ready, Bollgard, and stacked gene cotton cultivars. Analysis of Arkansas data indicated that the stacked gene and Roundup Ready technologies would be preferred by a large number of risk neutral and risk averse producers as long as the costs of the technology and seed are below the lower bounds calculated in this manuscript.	
Tipo: 	Journal Article	
Idioma: 	Inglês	
Identificador: 	http://purl.umn.edu/47257	
Relação: 	Journal of Agricultural and Applied Economics&gt;Volume 40, Number 03, December 2008	
Formato: 	9