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Biomass Energy and Competition for Land

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  • Reilly, John
  • Paltsev, Sergey

Abstract

*Chapter 8 of the forthcoming book "Economic Analysis of Land Use in Global Climate Change Policy," edited by Thomas W. Hertel, Steven Rose, and Richard S.J. Tol. We describe an approach for incorporating biomass energy production and competition for land into the MIT Emissions Prediction and Policy Analysis (EPPA) model, a computable general equilibrium model of the world economy. We examine multiple scenarios where greenhouse gas emissions are abated or not. The global increase in biomass energy use in a reference scenario (without climate change policy) is about 30 EJ/year by 2050 and about 180 EJ/year by 2100. This deployment is driven primarily by a world oil price that in the year 2100 is over 4.5 times the price in the year 2000. In the scenarios of stabilization of greenhouse gas concentrations, the global biomass energy production increases to 50-150 EJ/year by 2050 and 220-250 EJ/year by 2100. The estimated area of land required to produce 180-250 EJ/year is about 1 Gha, which is an equivalent of the current global cultivated area. In the USA we find that under a stringent climate policy biofuels could supply about 55% of USA liquid fuel demand, but if the biofuels were produced domestically the USA would turn from a substantial net exporter of agricultural goods ($20 billion) to a large net importer ($80 billion). The general conclusion is that the scale of energy use in the USA and the world relative to biomass potential is so large that a biofuel industry that was supplying a substantial share of liquid fuel demand would have very significant effects on land use and conventional agricultural markets.

Suggested Citation

  • Reilly, John & Paltsev, Sergey, 2008. "Biomass Energy and Competition for Land," GTAP Working Papers 2607, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
  • Handle: RePEc:gta:workpp:2607
    Note: GTAP Working Paper No. 46
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    Cited by:

    1. Grant J. Allan, 2015. "The Regional Economic Impacts of Biofuels: A Review of Multisectoral Modelling Techniques and Evaluation of Applications," Regional Studies, Taylor & Francis Journals, vol. 49(4), pages 615-643, April.
    2. Ujjayant Chakravorty & Marie-Hélène Hubert & Linda Nøstbakken, 2009. "Fuel Versus Food," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 645-663, September.
      • Ujjayant Chakravorty & Marie-Hélène Hubert & Linda Nøstbakken, 2009. "Fuel Versus Food," Post-Print halshs-01117673, HAL.
      • Chakravorty, Ujjayant & Hubert, Marie-Helene & Nostbakken, Linda, 2009. "Fuel versus Food," Working Papers 2009-20, University of Alberta, Department of Economics.
    3. Panichelli, Luis & Gnansounou, Edgard, 2015. "Impact of agricultural-based biofuel production on greenhouse gas emissions from land-use change: Key modelling choices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 344-360.
    4. Kolasa, Marcin, 2014. "Real convergence and its illusions," Economic Modelling, Elsevier, vol. 37(C), pages 79-88.
    5. Matheus L. C. M. Henckens, 2022. "The Energy Transition and Energy Equity: A Compatible Combination?," Sustainability, MDPI, vol. 14(8), pages 1-22, April.
    6. Banse, M. & Sorda, G., 2010. "Impact of Different Biofuel Policy Options on Agricultural Production and Land Use in Germany," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 45, March.
    7. Vitezslav Pisa & Jan Bruha & Vitezslav Pisa, 2011. "Dynamics of the Commodity Prices and Quantities: An Analysis using a Dynamic Multiregional CGE Model," EcoMod2011 2889, EcoMod.
    8. Wianwiwat, Suthin & Asafu-Adjaye, John, 2013. "Is there a role for biofuels in promoting energy self sufficiency and security? A CGE analysis of biofuel policy in Thailand," Energy Policy, Elsevier, vol. 55(C), pages 543-555.
    9. Kretschmer, Bettina & Peterson, Sonja, 2010. "Integrating bioenergy into computable general equilibrium models -- A survey," Energy Economics, Elsevier, vol. 32(3), pages 673-686, May.
    10. Thierry Brunelle & Patrice Dumas, 2012. "Can Numerical Models Estimate Indirect Land-use Change?," Working Papers 2012.65, Fondazione Eni Enrico Mattei.
    11. Montalvo-Navarrete, Juan M. & Lasso-Palacios, Ana P., 2024. "Energy access sustainability criteria definition for Colombian rural areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    12. Castiblanco, Carmenza & Moreno, Alvaro & Etter, Andrés, 2015. "Impact of policies and subsidies in agribusiness: The case of oil palm and biofuels in Colombia," Energy Economics, Elsevier, vol. 49(C), pages 676-686.
    13. Becker, Arno, 2008. "Biomass for energy production in the context of selected European and international policy objectives," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 43974, European Association of Agricultural Economists.

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