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Analysing bioenergy and land use competition in a coupled modelling system: The role of bioenergy in renewable energy policy in Germany

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Listed:
  • Delzeit, Ruth
  • Gömann, Horst
  • Holm-Müller, Karin
  • Kreins, Peter
  • Kretschmer, Bettina
  • Münch, Julia
  • Peterson, Sonja

Abstract

In the context of energy security and climate protection, biomass is given high importance. Nevertheless, land-use conflicts resulting from the cultivation of biomass and their economy-wide effects are yet to be fully understood. To shed light on this issue we link three distinctive models; a global, multi-regional general equilibrium model (DART), a regionalised agricultural sector model for Germany (RAUMIS) and a location model for biogas plants. The DART model allows capturing international and national feedback effects of an increased use of bioenergy such as increased agricultural prices. The interaction of DART and RAUMIS links global markets and connects them to the detailed specification of agricultural land use in Germany. Finally, we link this system to the newly developed location model ReSI-M that accounts for the location choices of biogas plants in Germany and the resulting regional markets for energy crop demand. As a first application of the modelling system we analyse the effects of the German Renewable Energy Source Act on German biogas production and of the EU 10%-biofuel target on German agriculture and world agricultural prices. A main result of the simulations is that accounting for existing land-use restrictions and land-use competition has a significant effect on model results.

Suggested Citation

  • Delzeit, Ruth & Gömann, Horst & Holm-Müller, Karin & Kreins, Peter & Kretschmer, Bettina & Münch, Julia & Peterson, Sonja, 2010. "Analysing bioenergy and land use competition in a coupled modelling system: The role of bioenergy in renewable energy policy in Germany," Kiel Working Papers 1653, Kiel Institute for the World Economy (IfW Kiel).
  • Handle: RePEc:zbw:ifwkwp:1653
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    References listed on IDEAS

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    1. Klose, Andreas & Drexl, Andreas, 2005. "Facility location models for distribution system design," European Journal of Operational Research, Elsevier, vol. 162(1), pages 4-29, April.
    2. Beghin, John C. & Dong, Fengxia & Elobeid, Amani & Fabiosa, Jacinto F. & Fuller, Frank H. & Hart, Chad E. & Kovarik, Karen P. & Tokgoz, Simla & Yu, Tun-Hsiang & Wailes, Eric J. & Chavez, Edward & Woma, 2007. "FAPRI 2007 U.S. And World Agricultural Outlook," Staff General Research Papers Archive 12805, Iowa State University, Department of Economics.
      • Beghin, John C. & Dong, Fengxia & Elobeid, Amani E. & Fabiosa, Jacinto F. & Fuller, Frank H. & Hart, Chad E. & Kovarik, Karen & Tokgoz, Simla & Yu, Tun-Hsiang (Edward) & Wailes, Eric J. & Chavez, Eddi, 2007. "FAPRI 2007 U.S. and World Agricultural Outlook," FAPRI Staff Reports 7296, Food and Agricultural Policy Research Institute (FAPRI).
    3. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    4. 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).
    5. Kretschmer, Bettina & Peterson, Sonja, 2010. "Integrating bioenergy into computable general equilibrium models -- A survey," Energy Economics, Elsevier, vol. 32(3), pages 673-686, May.
    6. Delzeit, R. & Britz, W. & Holm-Müller, K., 2010. "Modelling regional maize market and transport distances for biogas production in Germany," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 45, March.
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    Cited by:

    1. 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.
    2. Deppermann, Andre & Bruchof, David & Blesl, Markus & Boysen, Ole & Grethe, Harald, 2012. "Energy from biomass: linkages between the energy and the agricultural sector in the EU until 2050," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126754, International Association of Agricultural Economists.
    3. Delzeit, Ruth & Kellner, Ulla, 2011. "How location decisions influence transport costs of processed and unprocessed bioenergy digestates: The impact of plant size and location on profitability of biogas plants in Germany," Kiel Working Papers 1730, Kiel Institute for the World Economy (IfW Kiel).

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    More about this item

    Keywords

    bioenergy; land use; renewable energy policy; coupled models; agricultural-sector models; CGE;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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