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	Provedor de dados AgEcon (2) Autor Richardson, James W. (2) Barham, E. Hart Bise (1) Eltun, Ragnar (1) Flaten, Ola (1) Korsaeth, Audun (1) Lien, Gudbrand D. (1) Rister, M. Edward (1) Robinson, John R.C. (1) Schumann, Keith D. (1) Mais... Palavra-chave Q12 (2) Risk and Uncertainty (2) Stochastic efficiency with respect to a function (2) C44 (1) Cotton (1) Crop Production/Industries (1) Crop insurance (1) D81 (1) Farm Management (1) Integrated and conventional crop farming (1) Irrigation (1) Multivariate kernel estimator (1) Options (1) Organic (1) Puts (1) Q15 (1) Risk (1) Risk aversion (1) Simulation (1) Stochastic simulation (1) Mais... Tipo do documento Conference Paper or Presentation (1) Journal Article (1) Ano 2011 (1) 2005 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Comparison of Risk Between Cropping Systems in Eastern Norway AgEcon Lien, Gudbrand D.; Flaten, Ola; Schumann, Keith D.; Richardson, James W.; Korsaeth, Audun; Eltun, Ragnar. The aim of this study was to compare production and policy risk of organic, integrated and conventional cropping systems in Norway. Experimental cropping system data (1991-1999) from eastern Norway were combined with budgeted data. Empirical distributions of total farm income for different cropping systems were estimated with a simulation model that uses a multivariate kernel density function to smooth the limited experimental data. Stochastic efficiency with respect to a function (SERF) was used to rank the cropping systems for farmers with various risk aversion levels. The results show that the organic system had the greatest net farm income variability, but the existing payment system and organic price premiums makes it the most economically viable... Tipo: Conference Paper or Presentation Palavras-chave: Organic; Integrated and conventional crop farming; Stochastic simulation; Multivariate kernel estimator; Risk aversion; Stochastic efficiency with respect to a function; Crop Production/Industries; Risk and Uncertainty; Q12; C44. Ano: 2005 URL: http://purl.umn.edu/24663 Mitigating Cotton Revenue Risk Through Irrigation, Insurance, and Hedging AgEcon Barham, E. Hart Bise; Robinson, John R.C.; Richardson, James W.; Rister, M. Edward. This study focuses on managing cotton production and marketing risks using combinations of irrigation levels, put options (as price insurance), and crop insurance. Stochastic cotton yields and prices are used to simulate a whole-farm financial statement for a 1,000 acre furrow irrigated cotton farm in the Texas Lower Rio Grande Valley under 16 combinations of risk management strategies. Analyses for risk-averse decision makers indicate that multiple irrigations are preferred. The benefits to purchasing put options increase with yields, as they are more beneficial when higher yields are expected from applying more irrigation applications. Crop insurance is strongly preferred at lower irrigation levels. Tipo: Journal Article Palavras-chave: Cotton; Crop insurance; Irrigation; Options; Puts; Risk; Simulation; Stochastic efficiency with respect to a function; Farm Management; Risk and Uncertainty; D81; Q12; Q15. Ano: 2011 URL: http://purl.umn.edu/117946 Registros recuperados: 2 Primeira ... 1 ... Última

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