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Integrating biofuels into the DART model

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  • Kretschmer, Bettina
  • Peterson, Sonja
  • Ignaciuk, Adriana M.

Abstract

Biofuels and other forms of bioenergy have received increased attention in recent times: They have partly been acclaimed as an instrument to contribute to rural development, energy security and to fight global warming but have been increasingly come under attack for their potential to contribute to rising food prices. It has thus become clear that bioenergy cannot be evaluated independently of the rest of the economy and that national and international feedback effects are important. In this paper we describe how the CGE model DART is extended to include first-generation biofuel production technologies. DART can now be used to assess the efficiency of combined climate and bioenergy policies. As a first example the effects of a 10% biofuel target in the EU are analyzed.

Suggested Citation

  • Kretschmer, Bettina & Peterson, Sonja & Ignaciuk, Adriana M., 2008. "Integrating biofuels into the DART model," Kiel Working Papers 1472, Kiel Institute for the World Economy (IfW Kiel).
  • Handle: RePEc:zbw:ifwkwp:1472
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    References listed on IDEAS

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    1. Klepper, Gernot & Peterson, Sonja & Springer, Katrin, 2003. "DART97: a description of the multi-regional, multi-sectoral trade model for the analysis of climate policies," Kiel Working Papers 1149, Kiel Institute for the World Economy (IfW Kiel).
    2. Kretschmer, Bettina & Peterson, Sonja, 2010. "Integrating bioenergy into computable general equilibrium models -- A survey," Energy Economics, Elsevier, vol. 32(3), pages 673-686, May.
    3. Peterson, Sonja & Klepper, Gernot, 2008. "The competitiveness effects of the EU climate policy," Kiel Working Papers 1464, Kiel Institute for the World Economy (IfW Kiel).
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    Cited by:

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    2. 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.
    3. Kretschmer, B. & Peterson, S. & Ignaciuk, A., 2010. "Integrating Biofuels into the DART Model: Analysing the Effects of the EU 10% Biofuel Target," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 45, March.
    4. Kolasa, Marcin, 2014. "Real convergence and its illusions," Economic Modelling, Elsevier, vol. 37(C), pages 79-88.
    5. David Laborde & Hugo Valin, 2012. "MODELING LAND-USE CHANGES IN A GLOBAL CGE: ASSESSING THE EU BIOFUEL MANDATES WITH THE MIRAGE-BioF MODEL," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 3(03), pages 1-39.
    6. 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.
    7. 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.
    8. Kretschmer, Bettina & Peterson, Sonja, 2010. "Integrating bioenergy into computable general equilibrium models -- A survey," Energy Economics, Elsevier, vol. 32(3), pages 673-686, May.
    9. Thierry Brunelle & Patrice Dumas, 2012. "Can Numerical Models Estimate Indirect Land-use Change?," Working Papers 2012.65, Fondazione Eni Enrico Mattei.
    10. Kretschmer, Bettina & Narita, Daiju & Peterson, Sonja, 2009. "The economic effects of the EU biofuel target," Open Access Publications from Kiel Institute for the World Economy 32984, Kiel Institute for the World Economy (IfW Kiel).
    11. Héctor Fernando Villatoro Flores & Takaaki Furubayashi & Toshihiko Nakata, 2016. "Analysis of Trade-offs Between First-generation Biofuels and Food Production for Japan Using CGE Modelling," International Journal of Economic Policy Studies, Springer, vol. 11(1), pages 1-24, January.
    12. Elizondo, Alejandra & Boyd, Roy, 2017. "Economic impact of ethanol promotion in Mexico: A general equilibrium analysis," Energy Policy, Elsevier, vol. 101(C), pages 293-301.

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    More about this item

    Keywords

    Biofuels; CGE model; climate policy; EU;
    All these keywords.

    JEL classification:

    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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