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	Provedor de dados AgEcon (2) Autor Eltun, Ragnar (2) Flaten, Ola (2) Korsaeth, Audun (2) Lien, Gudbrand D. (2) Richardson, James W. (2) Schumann, Keith D. (2) Mais... Palavra-chave Crop Production/Industries (2) Balanced Scorecard (1) C44 (1) Integrated and conventional crop farming (1) Multivariate kernel estimator (1) Organic (1) Q12 (1) Risk and Uncertainty (1) Risk aversion (1) Stochastic efficiency with respect to a function (1) Stochastic simulation (1) Strategic Management (1) Ukraine (1) Mais... Tipo do documento Conference Paper or Presentation (2) Ano 2005 (2) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Comparison of Risk in Organic, Integrated and Conventional Cropping Systems in Eastern Norway AgEcon Lien, Gudbrand D.; Flaten, Ola; Korsaeth, Audun; Schumann, Keith D.; Richardson, James W.; Eltun, Ragnar. This study exemplifies the first implementation experiences of Balanced Scorecard and the first results of them in Ukrainian agricultural enterprises. Essential prerequisites for the functioning of the BSC concept into practical agriculture will be discussed. Finally, some critical success factors to the BSC adoption by agricultural companies will be identified. Tipo: Conference Paper or Presentation Palavras-chave: Balanced Scorecard; Strategic Management; Ukraine; Crop Production/Industries. Ano: 2005 URL: http://purl.umn.edu/24251 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 Registros recuperados: 2 Primeira ... 1 ... Última

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