Meeting the Mandate for Biofuels: Implications for Land Use, Food and Fuel Prices
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 fuel prices, and the mix of biofuels from corn and cellulosic feedstocks over the 2007-2022 period. We find that the biofuel mandate will increase corn price by 24%, reduce the price of gasoline by 8% in 2022, and increase social welfare by $122 B (0.7%) relative to Business As Usual scenario. The provision of volumetric tax credits that accompany the mandate significantly changes the mix of biofuels produced in favor of cellulosic biofuels and reduces the share of corn ethanol in the cumulative volume of biofuels produced from 50% to 10%. The tax credits reduce the adverse impact of the mandate alone on crop prices and decrease the price of biofuels. However, they impose a welfare cost of $79 B compared to the mandate alone. These results are found to be sensitive to the rate of growth of crop productivity, the costs of production of bioenergy crops, and the availability of marginal land for producing bioenergy crops.
|Date of creation:||Jan 2011|
|Publication status:||published as Meeting the Mandate for Biofuels: Implications for Land Use, Food, and Fuel Prices , Xiaoguang Chen, Haixiao Huang, Madhu Khanna, Hayri Önal. in The Intended and Unintended Effects of U.S. Agricultural and Biotechnology Policies , Graff Zivin and Perloff. 2012|
|Contact details of provider:|| Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.|
Web page: http://www.nber.org
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Hayri Önal & Bruce A. McCarl, 1991. "Exact Aggregation in Mathematical Programming Sector Models," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 39(2), pages 319-334, 07.