Valuing Transgenic Cotton Technologies Using a Risk/Return Framework
| Autor: | Charles D. Capps, Kelly J. Bryant, Glenn Studebaker, Fred M. Bourland, Jeremy K. Greene, Frank E. Groves, Jeanne M. Reeves, Robert L. Nichols, Christopher H. Tingle |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Economics and Econometrics
cotton financial risk market value SERF transgenic Agribusiness Crop Production/Industries Risk and Uncertainty Q12 Q16 Cumulative distribution function Financial risk Yield (finance) Agricultural and Biological Sciences (miscellaneous) Upper and lower bounds Agricultural economics Plot (graphics) Risk neutral Agricultural science Economics Production (economics) Market value |
| Zdroj: | Journal of Agricultural and Applied Economics. 40:767-775 |
| ISSN: | 2056-7405 1074-0708 |
| DOI: | 10.1017/s1074070800002315 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|