Abstract
Greenhouse gas abatement policies will increase the demand for renewable sources of energy, including bioenergy. In combination with a global growing demand for food, this could lead to a food-fuel competition for bio-productive land. Proponents of bioenergy have suggested that energy crop plantations may be established on less productive land as a way of avoiding this potential food-fuel competition. However, many of these suggestions have been made without any underlying economic analysis. In this paper, we develop a long-term economic optimization model (LUCEA) of the U.S. agricultural and energy system to analyze this possible competition for land and to examine the link between carbon prices, the energy system dynamics and the effect of the land competition on food prices. Our results indicate that bioenergy plantations will be competitive on cropland already at carbon taxes about US $20/ton C. As the carbon tax increases, food prices more than double compared to the reference scenario in which there is no climate policy. Further, bioenergy plantations appropriate significant areas of both cropland and grazing land. In model runs where we have limited the amount of grazing land that can be used for bioenergy to what many analysts consider the upper limit, most of the bioenergy plantations are established on cropland. Under the assumption that more grazing land can be used, large areas of bioenergy plantations are established on grazing land, despite the fact that yields are assumed to be much lower (less than half) than on crop land. It should be noted that this allocation on grazing land takes place as a result of a competition between food and bioenergy production and not because of lack of it. The estimated increase in food prices is largely unaffected by how much grazing land can be used for bioenergy production.
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References
Azar C (2005) Emerging scarcities – Bioenergy-food competition in a carbon constrained world. In: Simpson RD, Toman MA, Ayers RU (eds) Scarcity and growth revisited, resources for the future. RFF, Washington, DC
Azar C, Berndes G (1999) The implication of CO2-abatement policies on food prices. In: Andrew D, Tisdell C (eds) Sustainable agriculture and environment: Globalization and trade liberalization impacts. Edward Elgar, Cheltenham, UK, pp 153–170
Azar C, Dowlatabadi HA (1999) Review of technical change in assessment of climate policy. Annu Rev Energy Environ 24:513–544
Azar C, Larson E (2000) Bioenergy and land-use competition in the Northeast of Brazil: A case study in the Northeast of Brazil. Energy for sustainable development 4:64–72
Azar C, Lindgren K, Andersson BA (2003) Global energy scenarios meeting stringent CO2 constraints – cost effective fuel choices in the transportation sector. Energy Policy 31:961–976
Azar C, Lindgren K, Larson E, Möllersten K (2006) Carbon capture and storage from fossil fuels and biomass – costs and the potential role in stabilizing the atmosphere. Clim Change 74:47–79
Berndes G, Hoogwijk M, van den Brock R (2003) The contribution of biomass in the future global energy supply: a review of 17 studies. Biomass Bioenergy 25:1–28
Brown LR (1980) Food or fuel: new competition for the world’s cropland. Worldwatch Institute, Washington, D.C., USA
Börjesson P, Gustavsson L, Christersson L, Linder S (1997) Future production and utilisation of biomass in Sweden: potentials and CO2 mitigation. Biomass Bioenergy 13:399–412
Church DC (1991) Livestock feeds & feeding. Prentice-Hall, Englewood Cliffs, NJ
de la Torre Ugarte DG, Walsh ME, Shapouri H, Slinsky SP (2000) The economic impact of bioenergy crop production on U.S. agriculture, available via http://www.michiganbioenergy.org/
Dixit AK, Pindyck RS (1993) Investment under Uncertainty. Princeton University Press, Princeton, NJ, USA
Downing M, Graham RL (1996) The potential supply and cost of biomass from energy Crops in the Tennessee Valley authority region. Biomass Bioenergy 4:283–303
Dyson T (1996) Population and food – global trends and future prospects. Routledge, London, UK
EIA (2003) Annual energy outlook 2003. US Department of Energy, Washington DC
ECN (2004) MARKAL MATTER 4.2 Model input – processes producing other than electricity/heat, available via http://www.ecn.nl
ERS (2002a) Commodity cost and return. U.S. Department of Agriculture, Washington DC, available via http://www.ers.usda.gov/
ERS (2002b) Food marketing and price spreads. U.S. Department of Agriculture, Washington DC, available via http://www.ers.usda.gov/
FAO (2003) World agriculture: towards 2015/2030. An FAO perspective. Food and Agriculture Organization (FAO)/Earthscan, London, UK
Forest Service, USDA (2001) U.S. Forest facts and historical trends. U.S. Department of Agriculture, Washington DC, available via http://www.fs.fed.us/
Gielen D, de Feber MAPC, Bos AJM, Gerlagh T (2001) Biomass for energy or materials? A western European systems engineering perspective. Energy policy 29:291–302
Graham RL (1994) An analysis of the potential land base for energy crops in the conterminous United States. Biomass Bioenergy 6:175–189
Graham RL, Allison LJ, Becker DA (1996) The Oak Ridge Energy Crop County Level Database. Oak Ridge National Laboratory Program, available via http://bioenergy.ornl.gov/
Hall DO, Rosillo-Calle F, Woods J (1993) Biomass for energy: supply prospects. In: Johansson TB, Kelly H, Reddy AKN, Williams RH (eds) Renewable energy – sources for fuels and electricity. Island, Washington, DC
Hedenus F, Azar C (2005) Bioenergy plantations or long-term carbon sinks? – a model based analysis. Submitted to Biomass and Bioenergy
Herzog H, Drake E, Adams E (1997) CO2 capture, reuse, and storage technologies for mitigating global climate change – a white paper, DOE Order No. DE-AF22-96PC01257, Washington
Hoogwijk M, Faail A, Eickhout B, de Vries B, Turkenburg W (2005) Potential of biomass energy out to 2100, for four IPCC SRES land-use scenarios. Biomass Bioenerg 29:225–257
Huang KS, Lin BH (2000) Estimation of food demand and nutrient elasticities from household survey data, Technical bulletin number 1887. Economic Research Service, United States Department of Agriculture, Washington DC
Ignaciuk A, Vöhringer F, Ruijs A, Van Ireland EC (2006) Competition between biomass and food production in the presence of energy policies: a partial equilibrium analysis. Energy Policy 34:1127–1138
IIASA/WEC (1998) World energy outlook, Interactive Database. available http://via www.iiasa.ac.at/
Joyce LA (1989) An analysis of the range forage situation in the united states: 1989–2040 – A technical document supporting the 1989 USDA Forest Service RPA assessment, General technical report RM-180. Forest Service – United States of Agricultural Department
Lee HC, McCarl BA, Gillig D (2005) The dynamic competitiveness of US agricultural and forest carbon sequestration. Can J Agric Econ 53:343–357
Loulou R, Lavigne D (1996) MARKAL model with elastic demands: application to greenhouse gas emission control. In: Carraro C, Haurie (eds) Operations research and environmental management. Kluwer, Dordrecht, The Netherlands, pp 201–220
Lubowski RN (2002) Determinants of land-use transitions in the United States: econometric estimation of a Markov model, paper presented at the Forestry and Agriculture Greenhouse Gas Modeling Forum, October 8–11, available via http://foragforum.rti.org/
Manne AS, Richels RG (1992) Buying Greenhouse insurance – The economic costs of CO2 emissions Limits. MIT, Cambridge, MA
Manne AS, Richels RG (2004) Merge 5.0 – Model code, available via http://www.stanford.edu/group/MERGE/code.htm, visited 2004-01-19
McCarl BA, Adams DA, Alig RJ, Chmelik JT (2000) Competitiveness of biomass-fueled electrical power plants. Ann Oper Res 94:37–55
McCarl BA, Schneider UA (2001) Greenhouse gas mitigation in U.S. agriculture and forestry. Science 294:2481–2482
McCarl BA, Spreen TH (1980) Price endogenous mathematical programming as a toll for sector analysis. Am J Agric Econ 62:37–55
Meekhof RL, Tyner WE, Holland FD (1980) United States agricultural policy and gasohol – a policy simulation. Am J Agric Econ 62:408–415
NASS (1995) Production annual summary, available via usda.mannlib.cornell.edu/
Nordhaus WD (2004) RICE-99 Spreadsheet version, available via http://www.econ.yale.edu/, visited 2004-01-19
NRCS (2000) Summary Report, Natural Resource Inventory, table 2, available via http://www.nrcs.usda.gov
OECD (2001) Market effects of crop support measures. Paris, France
Parks PJ (1995) Explaining “irrational” land use: Risk aversion and marginal agricultural land. J Environ Econ Manage 28:34–47
Peters M, House R, Lewandrowski J, McDowell H (2001) Economic implications of carbon charges on U.S. agriculture. Clim Change 50:445–473
Regmi A (2001) Changing structure of global food consumption and trade. U.S. Department of Agriculture, Washington DC
Rosegrant MW, Cline SA (2003) Global food security: challenges and policies. Science 302:1917–1919
Rosegrant MW, Paisner MS, Meijer S, Witcover J (2001) Global food projections to 2020 – emerging trends and alternative futures. International Food policy Research Institute, Washington DC, available via http://www.ifpri.org
Sands RD, Leimbach M (2003) Modeling agriculture and land use in an integrated assessment framework. Clim Change 56:185–210
Schneider UA, McCarl BA (2003) Economic potential of biomass based fuels for greenhouse gas emission mitigation. Environ Resour Econ 24:291–312
SEI (2005) Policy debate on global biofuels development. Newsletter of the Energy Programme at Stockholm Environment Institute (SEI), 18(2) available via http://www.sei.se
Sperow M, Eve M, Paustian K (2003) Potential soil C sequestration on US agricultural soils. Clim Change 57:319–339
Torell LA, Godfrey EB, Nielsen DB (1986) Forage utilization cost differentials in a ranch operation: a case study. J Range Manag 39:34–39
U.S. Census Bureau (2000) National population projections. Washington DC, available via http://www.census.gov
USDA (2003) USDA agricultural baseline projection tables. US Department of Agriculture, Washington DC, available via http://usda.mannlib.cornell.edu/, visited 2004-01-19
Van Tassell LW, Torell LA, Rimbey NR, Bartlett ET (1997) Comparison of forage value on private and public grazing leases. J Range Manag 50:300–306
Vesterby M, Krupa KS (2001) Major uses of land in the United States, Statistical Bulletin No. 973. U.S. Department of Agriculture, Washington DC
Walsh ME, Perlack RL, Turhollow A, de la Torre Ugarte D, Becker DA, Graham RL, Slinsky SE, Ray DE (2000) Biomass feedstock availability in the United States: 1990 State level analysis. Oak Ridge National Laboratory, Oak Ridge, available via bioenergy.ornl.gov
Webster MD, Babiker M, Mayer M, Reilly JM, Harnisch J, Hyman R, Sarofim MC, Wang C (2002) Uncertainty in emissions projections for climate models. Atmos Environ 36:3659–3670
Wirsenius S (2000) Human use of land and organic materials. Dissertation. Chalmers University of Technology, Göteborg
Wirsenius S, Azar C, Berndes G (2004) Global Bioenergy Potentials: A new approach using a model-based assessment of biomass flows and land demand in the food and agricultural sector 2030. In: Proceedings of the Second World Biomass Conference – Biomass for Energy, Industry and Climate Protection, Rome, Italy, 10–14 May, 2004
Yotopoulos PA (1985) Middle-income classes and food crises: the “new” food-feed competition. Econ Dev Cult Change 33:463–483
Zuidema G, Van Den Born GJ, Alcamo J, Kreileman GJJ (1994) Simulating changes in global land cover as affected by economic and climatic factors. In: Alcamo J (eds) Image 2.0: Integrtaed modelling of global climate change. Kluwer, Dordrecht, The Netherlands
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Johansson, D.J.A., Azar, C. A scenario based analysis of land competition between food and bioenergy production in the US. Climatic Change 82, 267–291 (2007). https://doi.org/10.1007/s10584-006-9208-1
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DOI: https://doi.org/10.1007/s10584-006-9208-1