Article ID: | iaor20091104 |
Country: | United Kingdom |
Volume: | 94 |
Issue: | 2 |
Start Page Number: | 128 |
End Page Number: | 140 |
Publication Date: | May 2007 |
Journal: | Agricultural Systems |
Authors: | McCarl Bruce A., Schneider Uwe A., Schmid Erwin |
Keywords: | programming: mathematical, simulation: applications |
Mathematical programming is used to examine the economic potential of greenhouse gas mitigation strategies in US agriculture and forestry. Mitigation practices are entered into a spatially differentiated sector model and are jointly assessed with conventional agricultural production. Competition among practices is examined under a wide range of hypothetical carbon prices. Simulation results demonstrate a changing portfolio of mitigation strategies across carbon price. For lower prices preferred strategies involve soil and livestock options, higher prices, however, promote mainly bioenergy generation. Results demonstrate the sensitivity of individual strategy potentials to assumptions about alternative opportunities. Assessed impacts also include market shifts, regional strategy diversity, economic surplus distribution, and environmental co-effects.