This paper presents a price endogenous, dynamic, nonlinear mixed integer programming (MINLP) model to determine the feedstock supply response and future biorefinery locations that meet the mandated cellulosic biofuel production targets in the U.S. With a large number of supply units and...

This paper develops a conceptual framework and a numerical simulation model of the fuel and agricultural sectors in the US to analyze the effects of the existing Renewable Fuels Standard (RFS) that mandates the blending of specific volumes of low carbon biofuels with liquid fossil fuels and a...

Biofuel production is being promoted through various policies such as mandates and tax credits. This paper uses a dynamic, spatial, multi-market equilibrium model, Biofuel and Environmental Policy Analysis Model (BEPAM), to estimate the effects of these policies on cropland allocation, food and...

Concerns about energy security, reduced dependence on exhaustible fossil fuels and climate change have led to significant policy support for biofuels, particularly for cellulosic biofuels. The Biomass Crop Assistance Program and volumetric tax credits for biofuels seek to supplement the...

This paper uses a dynamic, multi-market, nonlinear mathematical programming model, Biofuel and Environmental Policy Analysis Model (BEPAM) to first examine the economically viable supply of agricultural biomass at various biomass prices and the mix of cellulosic feedstocks that will be produced...

Biofuel production is being promoted through various policies such as mandates and tax credits. This paper uses a dynamic, spatially explicit, multi-market equilibrium model, Biofuel and Environmental Policy Analysis Model (BEPAM), to estimate the effects of these policies on allocation of land...

This paper examines the economic and GHG implications of stacking a low carbon fuel standard (LCFS) with and without a carbon price policy on the Renewable Fuel Standard (RFS). We compare the performance of various policy combinations for food and fuel prices, fuel mix and fuel consumption. We...

Mathematical programming models are widely used in agricultural sector analysis. Lack of micro-level data and computational reasons necessitate aggregation of individual producers into regional representative units when working at sectoral level. This usually leads to unrealistic and extreme...