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DART-BIO: Modelling the interplay of food, feed and fuels in a global CGE model

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  • Calzadilla, Alvaro
  • Delzeit, Ruth
  • Klepper, Gernot

Abstract

Land use and land use change are determined as much by economic and institutional drivers as they depend on bio-physical conditions. Future pathways of socio-economic and environmental systems can only be assessed with scenarios which describe possible future paths of development. For this numeric models are one important tool. To capture the complex interactions between the development of regionally differentiated economic drivers, computable general equilibrium (CGE) models can be used. We discuss in a transparent way the inclusion of land and the representation of the complex agricultural production activities into DART-BIO, a CGE model. Implementing a scenario of changes in the preferences for meat and dairy products which is currently taking place in Asia, we find that these preference changes have only minor impacts on global agricultural prices while affecting regional production and trade. Results strongly depend on key parameter settings and highlight the importance of interlinkages between biofuel and livestock production.

Suggested Citation

  • Calzadilla, Alvaro & Delzeit, Ruth & Klepper, Gernot, 2014. "DART-BIO: Modelling the interplay of food, feed and fuels in a global CGE model," Kiel Working Papers 1896, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwkwp:1896
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    References listed on IDEAS

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    Cited by:

    1. Thube, Sneha D. & Delzeit, Ruth & Henning, Christian H.C.A., 2022. "Economic gains from global cooperation in fulfilling climate pledges," Energy Policy, Elsevier, vol. 160(C).
    2. Delzeit, Ruth & Heimann, Tobias & Schünemann, Franziska & Söder, Mareike, 2021. "DART-BIO: A technical description," Kiel Working Papers 2195, Kiel Institute for the World Economy (IfW Kiel).
    3. Haddad, Salwa & Escobar, Neus & Bruckner, Martin & Britz, Wolfgang, 2022. "Promoting extensive cattle production in the European Union has major implications for global agricultural trade and climate change," Discussion Papers 324710, University of Bonn, Institute for Food and Resource Economics.
    4. Schneider, Julia M. & Zabel, Florian & Schünemann, Franziska & Delzeit, Ruth & Mauser, Wolfram, 2022. "Global cropland could be almost halved: Assessment of land saving potentials under different strategies and implications for agricultural markets," Open Access Publications from Kiel Institute for the World Economy 253265, Kiel Institute for the World Economy (IfW Kiel).
    5. Taran Faehn & Gabriel Bachner & Robert Beach & Jean Chateau & Shinichiro Fujimori & Madanmohan Ghosh & Meriem Hamdi-Cherif & Elisa Lanzi & Sergey Paltsev & Toon Vandyck & Bruno Cunha & Rafael Garaffa , 2020. "Capturing Key Energy and Emission Trends in CGE models: Assessment of Status and Remaining Challenges," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 196-272, June.
    6. Mendiburu, Andrés Z. & Lauermann, Carlos H. & Hayashi, Thamy C. & Mariños, Diego J. & Rodrigues da Costa, Roberto Berlini & Coronado, Christian J.R. & Roberts, Justo J. & de Carvalho, João A., 2022. "Ethanol as a renewable biofuel: Combustion characteristics and application in engines," Energy, Elsevier, vol. 257(C).
    7. Martin Henseler & Ruth Delzeit & Marcel Adenäuer & Sarah Baum & Peter Kreins, 2020. "Nitrogen Tax and Set-Aside as Greenhouse Gas Abatement Policies Under Global Change Scenarios: A Case Study for Germany," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(2), pages 299-329, July.

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    More about this item

    Keywords

    CGE Model; land use; biofuels; simulation model;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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