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	Provedor de dados AgEcon (2) Autor Kim, Yoon Hyung (2) Sohngen, Brent (2) Golub, Alla A. (1) Hertel, Thomas W. (1) Rose, Steven K. (1) Palavra-chave Resource /Energy Economics and Policy (2) Biofuel policy (1) Carbon Sequestration (1) Environmental Economics and Policy (1) Forest carbon sequestration (1) Global Land Use Model (1) Indirect land use effects (1) Land Economics/Use (1) Monte Carlo simulations (1) Uncertainty Analysis (1) Mais... Tipo do documento Conference Paper or Presentation (1) Working or Discussion Paper (1) Ano 2010 (1) 2009 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última IMPACT OF US AND EUROPEAN BIOFUEL POLICIES ON FOREST CARBON AgEcon Kim, Yoon Hyung; Sohngen, Brent; Golub, Alla A.; Hertel, Thomas W.; Rose, Steven K.. This paper develops a dynamic, regional analysis of the effects of US and European biofuel mandates on land use, forestry stocks, and carbon emissions. The results suggest that these mandates may cause an additional 23-26 million hectares of forestland losses globally, but additional carbon emissions of 1.2 – 1.6 billion t CO2. The estimates are found to be sensitive to the elasticity parameter on the land supply function in the model, with the higher elasticity estimates associated with larger carbon losses. The regional analysis turns out to be quite important, because some regions end up gaining forestland and increasing carbon stocks. The regional and dynamic effects have been missed by most other noteworthy analyses of the induced land use effects... Tipo: Conference Paper or Presentation Palavras-chave: Biofuel policy; Indirect land use effects; Forest carbon sequestration; Environmental Economics and Policy; Land Economics/Use; Resource /Energy Economics and Policy. Ano: 2010 URL: http://purl.umn.edu/61456 Assessing the Uncertainty of Land Based Carbon Sequestration: A Parameter Uncertainty Analysis with a Global Land Use Model AgEcon Kim, Yoon Hyung; Sohngen, Brent. This paper analyzes the effect of uncertainty in several key parameters on the marginal costs of carbon sequestration in forests. These parameters include the land supply elasticity, which governs the conversion of land from agriculture to forests and vice versa; parameters of the forest biomass yield function; parameters of the forest carbon density function; and parameters of the costs functions for accessing inaccessible land. Monte Carlo techniques are thus used to turn the global forest model with no probability (e.g., Sohngen & Mendelsohn, 2003; 2007) into a proper probability model through Latin hypercube sampling. For this paper, we have restricted our analysis to consideration of probability distributions for only two of the parameters... Tipo: Working or Discussion Paper Palavras-chave: Uncertainty Analysis; Global Land Use Model; Carbon Sequestration; Monte Carlo simulations; Resource /Energy Economics and Policy. Ano: 2009 URL: http://purl.umn.edu/49416 Registros recuperados: 2 Primeira ... 1 ... Última

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