Impacts of increased bioenergy demand on global food markets: an AgMIP economic model intercomparison
Corresponding Author
Hermann Lotze-Campen
Potsdam Institute for Climate Impact Research (PIK), Telegrafenberg A 31, 14473 Potsdam, Germany
Corresponding author. Tel.: +49-331-288-2699; fax: +49-331-288-2600. E-mail address: [email protected] (H. Lotze-Campen).Search for more papers by this authorMartin von Lampe
Trade and Agriculture Directorate (TAD), Organisation for Economic Co-operation and Development (OECD), 2 rue André Pascal, 75775, Paris Cedex 16, France
Search for more papers by this authorPage Kyle
Joint Global Change Research Institute, Pacific Northwest National Laboratory, 5825 University Research Court, Suite 3500, College Park, MD 20740 USA
Search for more papers by this authorShinichiro Fujimori
National Institute for Environmental Studies (NIES), Center for Social & Environmental Systems Research, 16-2 Onogawa, Tsukuba, Ibaraki, 305-8506 Japan
Search for more papers by this authorPetr Havlik
Ecosystems Services and Management Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, 2361, Laxenburg, Austria
Search for more papers by this authorHans van Meijl
Agricultural Economics Research Institute (LEI) Wageningen University and Research Centre, 2585 DB, The Hague, The Netherlands
Search for more papers by this authorTomoko Hasegawa
National Institute for Environmental Studies (NIES), Center for Social & Environmental Systems Research, 16-2 Onogawa, Tsukuba, Ibaraki, 305-8506 Japan
Search for more papers by this authorAlexander Popp
Potsdam Institute for Climate Impact Research (PIK), Telegrafenberg A 31, 14473 Potsdam, Germany
Search for more papers by this authorChristoph Schmitz
Potsdam Institute for Climate Impact Research (PIK), Telegrafenberg A 31, 14473 Potsdam, Germany
Search for more papers by this authorAndrzej Tabeau
Agricultural Economics Research Institute (LEI) Wageningen University and Research Centre, 2585 DB, The Hague, The Netherlands
Search for more papers by this authorHugo Valin
Ecosystems Services and Management Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, 2361, Laxenburg, Austria
Search for more papers by this authorDirk Willenbockel
Institute of Development Studies, University of Sussex, Brighton BN1 9RE, United Kingdom
Search for more papers by this authorMarshall Wise
Joint Global Change Research Institute, Pacific Northwest National Laboratory, 5825 University Research Court, Suite 3500, College Park, MD 20740 USA
Search for more papers by this authorCorresponding Author
Hermann Lotze-Campen
Potsdam Institute for Climate Impact Research (PIK), Telegrafenberg A 31, 14473 Potsdam, Germany
Corresponding author. Tel.: +49-331-288-2699; fax: +49-331-288-2600. E-mail address: [email protected] (H. Lotze-Campen).Search for more papers by this authorMartin von Lampe
Trade and Agriculture Directorate (TAD), Organisation for Economic Co-operation and Development (OECD), 2 rue André Pascal, 75775, Paris Cedex 16, France
Search for more papers by this authorPage Kyle
Joint Global Change Research Institute, Pacific Northwest National Laboratory, 5825 University Research Court, Suite 3500, College Park, MD 20740 USA
Search for more papers by this authorShinichiro Fujimori
National Institute for Environmental Studies (NIES), Center for Social & Environmental Systems Research, 16-2 Onogawa, Tsukuba, Ibaraki, 305-8506 Japan
Search for more papers by this authorPetr Havlik
Ecosystems Services and Management Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, 2361, Laxenburg, Austria
Search for more papers by this authorHans van Meijl
Agricultural Economics Research Institute (LEI) Wageningen University and Research Centre, 2585 DB, The Hague, The Netherlands
Search for more papers by this authorTomoko Hasegawa
National Institute for Environmental Studies (NIES), Center for Social & Environmental Systems Research, 16-2 Onogawa, Tsukuba, Ibaraki, 305-8506 Japan
Search for more papers by this authorAlexander Popp
Potsdam Institute for Climate Impact Research (PIK), Telegrafenberg A 31, 14473 Potsdam, Germany
Search for more papers by this authorChristoph Schmitz
Potsdam Institute for Climate Impact Research (PIK), Telegrafenberg A 31, 14473 Potsdam, Germany
Search for more papers by this authorAndrzej Tabeau
Agricultural Economics Research Institute (LEI) Wageningen University and Research Centre, 2585 DB, The Hague, The Netherlands
Search for more papers by this authorHugo Valin
Ecosystems Services and Management Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, 2361, Laxenburg, Austria
Search for more papers by this authorDirk Willenbockel
Institute of Development Studies, University of Sussex, Brighton BN1 9RE, United Kingdom
Search for more papers by this authorMarshall Wise
Joint Global Change Research Institute, Pacific Northwest National Laboratory, 5825 University Research Court, Suite 3500, College Park, MD 20740 USA
Search for more papers by this authorAbstract
Integrated Assessment studies have shown that meeting ambitious greenhouse gas mitigation targets will require substantial amounts of bioenergy as part of the future energy mix. In the course of the Agricultural Model Intercomparison and Improvement Project (AgMIP), five global agro-economic models were used to analyze a future scenario with global demand for ligno-cellulosic bioenergy rising to about 100 ExaJoule in 2050. From this exercise a tentative conclusion can be drawn that ambitious climate change mitigation need not drive up global food prices much, if the extra land required for bioenergy production is accessible or if the feedstock, for example, from forests, does not directly compete for agricultural land. Agricultural price effects across models by the year 2050 from high bioenergy demand in an ambitious mitigation scenario appear to be much smaller (+5% average across models) than from direct climate impacts on crop yields in a high-emission scenario (+25% average across models). However, potential future scarcities of water and nutrients, policy-induced restrictions on agricultural land expansion, as well as potential welfare losses have not been specifically looked at in this exercise.
Supporting Information
Disclaimer: Supplementary materials have been peer-reviewed but not copyedited.
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| agec12092-sup-0001-Appendix.zip110.7 KB | Data Appendix Available Online A data appendix to replicate main results is available in the online version of this article. |
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References
- Azar, C., Lindgren, K., Obersteiner, M., Riahi, K., van Vuuren, D.P., den Elzen, K.M.G.J., Möllersten, K., Larson, E.D., 2010. The feasibility of low CO2 concentration targets and the role of bio-energy with carbon capture and storage (BECCS). Clim. Change 100(1), 195–202.
- Babcock, B.A., Marette, S., Tréguer, D., 2011. Opportunity for profitable investments in cellulosic biofuels. Energy Pol. 39(2), 714–719.
- Banse, M., van Meijl, H., Tabeau, A., Woltjer, G., 2008. Will EU biofuel policies affect global agricultural markets? Eur. Rev. Agric. Econ. 35(2), 117–141.
- Bondeau, A., Smith, P.C., Zaehle, S., Schaphoff, S., Lucht, W., Cramer, W., Gerten, D., Lotze-Campen, H., Müller, C., Reichstein, M., Smith, B., 2007. Modelling the role of agriculture for the 20th century global terrestrial carbon balance. Global Change Biol. 13(3), 679–706.
- Calvin, K., Clarke, L., Krey, V., Blanford, G., Jiang, K., Kainuma, M., Kriegler, E., Luderer, G., Shukla, P.R., 2012. The role of Asia in mitigating climate change: Results from the Asia modeling exercise. Energy Econ. 34(Supplement 3), S251–S260.
- Chum, H., Faaij, A., Moreira, J., Berndes, G., Dhamija, P., Dong, H., Gabrielle, B. et al. (15 more), 2011. Bioenergy. In E. Ottmar, R. Pichs-Madruga, Y. Sokona, K. Seyboth, P. Matschoss, S. Kadner, T. Zwickel et al. (Eds.), IPCC Special Report on Renewable Energy Sources and Climate Change Mitigation. Cambridge University Press, Cambridge, United Kingdom and New York, NY, pp. 865–952.
- Clarke, L., Edmonds, J., Krey, V., Richels, R., Rose, S., Tavoni, M., 2009. International climate policy architectures: Overview of the EMF 22 International Scenarios. Energy Econ. 31(Supplement 2), S64–S81.
- Crago, C.L., Khanna, M., Barton, J., Giuliani, E., Amaral, W., 2010. Competitiveness of Brazilian sugarcane ethanol compared to US corn ethanol. Energy Pol. 38(11), 7404–7415.
- Edmonds, J.A., Reilly, J.M., 1985. Global Energy: Assessing the Future, Oxford University Press, Oxford, UK.
- Fischedick, M., Schaeffer, R., Adedoyin, A., Akai, M., Bruckner, T., Clarke, L., Krey, V. et al., 2011. Mitigation potential and costs. In E. Ottmar, R. Pichs-Madruga, Y. Sokona, K. Seyboth, P. Matschoss, S. Kadner, T. Zwickel et al. (Eds.), IPCC Special Report on Renewable Energy Sources and Climate change Mitigation. Cambridge University Press, Cambridge, United Kingdom and New York, NY, pp. 791–864.
10.1017/CBO9781139151153.014 Google Scholar
- Fujimori, S., Matsuoka, Y., 2011. Development of method for estimation of world industrial energy consumption and its application. Energy Econ. 33(3), 461–473.
- Harris, J.R., Todaro, M.P., 1970. Migration, unemployment and development: A two-sector analysis. Am. Econ. Rev. 60(1), 126–142.
- Havlik, P., Schneider, U.A., Schmid, E., Böttcher, H., Fritz, S., Skalský, R., Aoki, K. et al. 2011. Global land-use implications of first and second generation biofuel targets. Energy Pol. 39(10), 5690–5702.
- Havlik, P., Valin, H., Mosnier, A., Obersteiner, M., Baker, J.S., Herrero, M., Rufino, M.C., Schmid, E., 2013. Crop productivity and the global livestock sector: Implications for land use change and greenhouse gas emissions. Am. J. Agric. Econ. 95(2), 442–448.
- International Energy Agency (IEA), 2004. Biofuels for transport: An international perspective. Accessed August 2013, available at http://cleanairinitiative.org/portal/node/2254.
- Knopf, B., Edenhofer, O., Flachsland, C., Kok, M. T. J., Lotze-Campen, H., Luderer, G., Popp, A., van Vuuren, D.P., 2010. Managing the low-carbon transition: From model results to policies. Energy J. 31, 223–245.
- Kriegler, E., O'Neill, B.C., Hallegatte, S., Kram, T., Lempert, R.J., Moss, R.H., Wilbanks, T., 2012. The need for and use of socio-economic scenarios for climate change analysis: A new approach based on shared socio-economic pathways. Global Environ. Change 22(4), 807–822.
- Kyle, P., Luckow, P., Calvin, K., Emanuel, W., Nathan, M., Zhou, Y., 2011. GCAM 3.0 Agriculture and Land Use: Data Sources and Methods. Accessed March 2013, available at http://wiki.umd.edu/gcam/images/2/25/GCAM_AgLU_Data_Documentation.pdf.
- Laborde, D., Valin, H., 2012. Modeling land-use changes in a global CGE: Assessing the EU biofuel mandates with the MIRAGE-Biof Model. Climate Change Econ. 03(03), 1250017, 39 pp.
10.1142/S2010007812500170 Google Scholar
- Lotze-Campen, H., 2011. Improved data for integrated modeling of global environmental change. Environ. Res. Lett. 6(4), 041002, 2 pp.
- Lotze-Campen, H., Müller, C., Bondeau, A., Rost, S., Popp, A., Lucht, W., 2008. Global food demand, productivity growth, and the scarcity of land and water resources: A spatially explicit mathematical programming approach. Agric. Econ. 39(3), 325–338.
- Luckow, P., Wise, M.A., Dooley, J.J., Kim, S.H., 2010. Large-scale utilization of biomass energy and carbon dioxide capture and storage in the transport and electricity sectors under stringent CO2 concentration limit scenarios. Int. J. Greenhouse Gas Contr. 4(5), 865–877.
- Luderer, G., Bosetti, V., Jakob, M., Leimbach, M., Steckel, J.C., Waisman, H., Edenhofer, O., 2012. The economics of decarbonizing the energy system: Results and insights from the RECIPE model intercomparison. Clim. Change 114(1), 9–37.
- Masui, T., Matsumoto, K., Hijioka, Y., Kinoshita, T., Nozawa, T., Ishiwatari, S., Kato, E., Shukla, P.R., Yamagata, Y., Kainuma, M., 2011. An emission pathway for stabilization at 6 Wm−2 radiative forcing. Clim. Change 109(1–2), 59–76.
- McCarl, B., Spreen, T.H., 1980. Price endogenous mathematical programming as a tool for sector analysis. Am. J. Agric. Econ. 62(1), 87–102.
- Monfreda, C., Ramankutty, N., Hertel, T.W., 2009. Global agricultural land use data for climate change analysis. T.W. Hertel, S.K. Rose, R.S.J. Tol (Eds.), Economic Analysis of Land Use in Global Climate Change Policy. Routledge Press, Milton Park, UK, Chapter 2, pp. 33–48.
- Mosnier, A., Havlik, P., Valin, H., Baker, J.S., Murray, B.C., Feng, S., Obersteiner, M., McCarl, B.A., Rose, S.K., Schneider, U.A., 2012. The Net Global Effects of Alternative U.S. Biofuel Mandates: Fossil Fuel Displacement, Indirect Land Use Change, and the Role of Agricultural Productivity Growth (NI-R 12-01). Nicholas Institute for Environmental Policy Solutions, Duke University, Durham, NC, USA.
- Moss, R.H., Edmonds, J.A., Hibbard, K.A., Manning, M., Rose, S.K., van Vuuren, D.P., Carter, T.R. et al., 2010. The next generation of scenarios for climate change research and assessment. Nature 463(7282), 747–756.
- Nelson, G.C., van der Mensbrugghe, D., Ahammad, H., Blanc, E., Calvin, K., Hasegawa, T., Havlik, P., Heyhoe, E., Kyle, P., Lotze-Campen, H., von Lampe, M., Mason d'Croz, D., van Meijl, H., Muller, C., Reilly, J., Robertson, R., Sands, R.D., Schmitz, C., Tabeau, A., Takahashi, K., Valin, H., Willenbockel, D., 2014. Agriculture and climate change in global scenarios: Why don't the models agree. Agric. Econ., 45(1), 85–101.
- OECD, 2008. Biofuel Support Policies: An Economic Assessment. Organisation for Economic Co-operation and Development, Paris.
- Popp, A., Dietrich, J.P., Lotze-Campen, H., Klein, D., Bauer, N., Krause, M., Beringer, T., Gerten, D., Edenhofer, O., 2011. The economic potential of bioenergy for climate change mitigation with special attention given to implications for the land system. Environ. Res. Lett. 6(3), 034017, 9 pp.
- Robinson, S., van Meijl, H., Willenbockel, D., Valin, H., Fujimori, S., Masui, T., Sands, R., Wise, M., Calvin, K., Havlik, P., Mason d'Croz, D., Tabeau, A., Kavallari, A., Schmitz, C., Dietrich, J., von Lampe, M., 2014. Comparing supply-side specifications in models of global agriculture and the food system. Agric. Econ. 45(1), 21–35.
- Rosegrant, M.W., IMPACT Development Team, 2012. International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT) Model Description. International Food Policy Research Institute (IFPRI), Washington DC.
- Schmitz, C., Biewald, A., Lotze-Campen, H., Popp, A., Dietrich, J.P., Bodirsky, B., Krause, M., Weindl, I., 2012. Trading more food: Implications for land use, greenhouse gas emissions, and the food system. Global Environ. Change 22(1), 189–209.
- Schmitz, C., van Meijl, H., Kyle, P., Nelson, G.C., Fujimori, S., Gurgel, A. Havlik, P., Heyhoe, E., Mason d'Croz, D., Popp, A., Sands, R., Tabeau, A., van der Mensbrugghe, D., von Lampe, M., Wise, M., Blanc, E., Hasegawa, T., Kavellari, A., Valin, H., 2014. Land-use change trajectories up to 2050—insights from a global agro-economic model comparison. Agric. Econ. 45(1), 69–84.
- Tabeau, A., Woltjer, G., 2010. Modeling the agricultural employment development within the CGE framework: the consequences for policy responses. Conference Paper, Thirteenth Annual Conference on Global Economic Analysis, Trade for Sustainable and Inclusive Growth and Development. 9–11 June 2010, Penang, Malaysia.
- Takayama, T., Judge, G., 1971. Spatial and Temporal Price and Allocation Models. North-Holland, Amsterdam.
- van Meijl, H., van Rheenen, T., Tabeau, A., Eickhout, B., 2006. The impact of different policy environments on agricultural land use in Europe. Agric. Ecosyst. Environ. 114(1), 21–38.
- van Vuuren, D.P., Bellevrat, E., Kitous, A., Isaac, M., 2010a. Bio-energy use and low stabilization scenarios. Energy J. 31, 192–222.
- van Vuuren, D.P., Stehfest, E., den Elzen, M.G.J., van Vliet, J., Isaac, M., 2010b. Exploring IMAGE model scenarios that keep greenhouse gas radiative forcing below 3 W/m2 in 2100. Energy Econ. 32(5), 1105–1120.
- van Vuuren, D.P., Stehfest, E., den Elzen, M.G.J., Kram, T., van Vliet, J., Deetman, S., Isaac, M. et al. 2011. RCP2.6: Exploring the possibility to keep global mean temperature increase below 2 degrees C. Clim. Change 109(1–2, SI), 95–116.
- von Lampe, M., Willenbockel, D., Ahammad, H., Blanc, E., Cai, Y., Calvin, K., Fujimori, S., Hasegawa, T., Havlik, P., Heyhoe, E., Kyle, P., Lotze-Campen, H., Mason d'Croz, D., Nelson, G.C., Sands, R.D., Schmitz, C., Tabeau, A., Valin, H., van der Mensbrugghe, D., van Meijl, H., 2014. Why do global long-term scenarios for agriculture differ? An overview of the AgMIP global economic model intercomparison. Agric. Econ. 45(1), 3–20.
- Williams, J.R., 1995. The EPIC model. In: V.P. Singh (Ed.), Computer Models of Watershed Hydrology. Water Resources Publications, Highlands Ranch, CO, pp. 909–1000.
- Wise, M.A., Calvin, K.V., 2011. GCAM 3.0 agriculture and land use modeling: Technical description of modeling approach. Accessed March 2013, available https://wiki.umd.edu/gcam/images/8/87/GCAM3AGTechDescript12_5_11.pdf.
- Woods, J., Williams, A., Hughes, J.K., Black, M., Murphy, R., 2010. Energy and the food system. Phil. Trans. R. Soc. B: Biol. Sci. 365(1554), 2991–3006.




