2014
DOI: 10.1016/j.jeem.2013.09.006
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Alternative transportation fuel standards: Welfare effects and climate benefits

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Cited by 84 publications
(78 citation statements)
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References 28 publications
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“…Our model considered various cellulosic biomass, including crop residues (corn stover and wheat straw) and two dedicated energy crops (miscanthus and switchgrass). In the absence of observed yield data for energy crops for most counties in Illinois, we chose to use biomass yields simulated by DAYCENT and estimated the county-specific costs of production of these energy crops based on cost estimates in Chen et al (2014). The costs of producing miscanthus and switchgrass include the costs of inputs including fertilizer, seed and chemicals; machinery required for establishment and harvest of bioenergy crops; and storage and transportation.…”
Section: Data Collectionmentioning
confidence: 99%
“…Our model considered various cellulosic biomass, including crop residues (corn stover and wheat straw) and two dedicated energy crops (miscanthus and switchgrass). In the absence of observed yield data for energy crops for most counties in Illinois, we chose to use biomass yields simulated by DAYCENT and estimated the county-specific costs of production of these energy crops based on cost estimates in Chen et al (2014). The costs of producing miscanthus and switchgrass include the costs of inputs including fertilizer, seed and chemicals; machinery required for establishment and harvest of bioenergy crops; and storage and transportation.…”
Section: Data Collectionmentioning
confidence: 99%
“…The model is solved iteratively for a 30 (alternatively 15 or 50) year planning horizon. After solving each 30 (15 or 50) year market equilibrium problem, we take the first five year period's solution values for prices, land available in different categories, and age distribution of forest stock as 'realized', move the horizon one period forward and solve the updated model again (see Chen et al 2014). Model formulation is provided in the supplementary information.…”
Section: Methodsmentioning
confidence: 99%
“…We undertake this analysis by developing an integrated dynamic, price-endogenous, partial equilibrium model of the agricultural and forestry sectors in the US with detailed life-cycle GHG accounting to investigate not only the direct emissions associated with the production, transportation, and conversion of the biomass to pellets but also the accompanying indirect market and land use effects induced by changes in prices of forest products and returns to agricultural and forestlands. This paper extends the Biofuel and Environmental Policy Analysis Model (BEPAM) developed previously as an integrated model of the agricultural and transportation sectors in the US (Huang et al 2013, Chen et al 2014 by integrating it with the forestry sector from the Forestry and Agricultural Sector Optimization Model (FASOM) (Adams et al 1996 to examine the economic and GHG implications of the increased use of forest-based bioenergy development. The combined model, BEPAM-F, is a dynamic, nonlinear programming, multi-market equilibrium model that integrates the transportation, agricultural, and forestry sectors in the US (Hudiburg et al 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Miscanthus yields are simulated using the biogeochemical DayCent model at county-level; delivered biomass yields are obtained assuming 20% harvesting loss, 7% storage loss, and 2% transportation loss (see Dwivedi et al 2015;Jain et al 2010). A description of the assumptions underlying the cost data for all crops can be found in Chen et al (2014).…”
Section: Numerical Modelmentioning
confidence: 99%
“…Life-cycle GHG intensity of different types of biofuels are obtained by adding up emissions during feedstock production and transportation to those during feedstock conversion to biofuel. The GHG emissions from a corn ethanol refinery are assumed to be 0.64 kg of carbon dioxide equivalent (CO 2 e) per L and from a cellulosic refinery (net of co-product electricity generated) are À0.09 kg CO 2 e per L (Chen et al 2014). We do not consider the GHG savings due to the displacement of gasoline by the mandated level of biofuel production.…”
Section: Numerical Modelmentioning
confidence: 99%