A multi-sector intertemporal optimization approach to assess the GHG implications of US forest and agricultural biomass electricity expansion Academic Article

abstract

• This study applies an intertemporal partial equilibrium model of the U.S. Forest and Agricultural sectors to assess the market, land use, and greenhouse gas (GHG) implications of biomass electricity expansion. Results show how intertemporal optimization procedures can yield different biomass feedstock portfolios and GHG performance metrics at different points in time. We examine the implications of restricting feedstock eligibility, land use change, and commodity substitution to put our results in the context of previous forest-only modeling efforts. Our results highlight the importance of dynamic considerations and forest and agricultural sector interactions on projecting the GHG effects of biomass electricity expansion in the U.S. 2013 Department of Forest Economics, Swedish University of Agricultural Sciences, Ume.

authors

• Mccarl, Bruce

published proceedings

• JOURNAL OF FOREST ECONOMICS

author list (cited authors)

• Latta, G. S., Baker, J. S., Beach, R. H., Rose, S. K., & McCarl, B. A.

citation count

• 51

complete list of authors

• Latta, Gregory S||Baker, Justin S||Beach, Robert H||Rose, Steven K||McCarl, Bruce A

publication date

• December 2013

publisher

• Now Publishers  Publisher

published in

• Journal of Forest Economics  Journal

keywords

• Bioenergy Forest Sector Modeling
• Land-use Change
• Renewable Electricity

Digital Object Identifier (DOI)

• 10.1016/j.jfe.2013.05.003

start page

• 361

end page

• 383

volume

• 19

issue

• 4

URL

• http://dx.doi.org/10.1016/j.jfe.2013.05.003