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Modelling regional maize market and transport distances for biogas production in Germany

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  • Delzeit, Ruth
  • Britz, Wolfgang
  • Holm-Muller, Karin

Abstract

Our location model aims to simulate location decisions for biogas plants based on profit maximisation to generate regional demand functions for maize and corresponding plant size structure and transport distances. By linking it with an agricultural sector model we derived regional maize markets. Comparing results for the REA with a scenario applying uniform per unit subsidy and producing the same energy, we see higher subsidy costs with the REA but lower transportation distances.

Suggested Citation

  • Delzeit, Ruth & Britz, Wolfgang & Holm-Muller, Karin, 2009. "Modelling regional maize market and transport distances for biogas production in Germany," 49th Annual Conference, Kiel, Germany, September 30-October 2, 2009 53258, German Association of Agricultural Economists (GEWISOLA).
    • Handle: RePEc:ags:gaae09:53258
    DOI: 10.22004/ag.econ.53258
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    References listed on IDEAS

    as
    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. Gomann, Horst & Kreins, Peter & Breuer, Thomas, 2007. "EINFLUSS STEIGENDER WELTAGRARPREISE AUF DIE WETTBEWERBSFAHIGKEIT DES ENERGIEMAISANBAUS IN DEUTSCHLAND (German)," 47th Annual Conference, Weihenstephan, Germany, September 26-28, 2007 7587, German Association of Agricultural Economists (GEWISOLA).
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    1. 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).
    2. 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).
    3. Bartoli, A. & Cavicchioli, D. & Kremmydas, D. & Rozakis, S. & Olper, A., 2016. "The impact of different energy policy options on feedstock price and land demand for maize silage: The case of biogas in Lombardy," Energy Policy, Elsevier, vol. 96(C), pages 351-363.
    4. Stelios Rozakis & Andrea Bartoli & Jacek Dach & Anna Jędrejek & Alina Kowalczyk-Juśko & Łukasz Mamica & Patrycja Pochwatka & Rafał Pudelko & Kesheng Shu, 2021. "Policy Impact on Regional Biogas Using a Modular Modeling Tool," Energies, MDPI, vol. 14(13), pages 1-21, June.
    5. Bartoli, Andrea & Hamelin, Lorie & Rozakis, Stelios & Borzęcka, Magdalena & Brandão, Miguel, 2019. "Coupling economic and GHG emission accounting models to evaluate the sustainability of biogas policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 106(C), pages 133-148.

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    Agricultural Finance; Environmental Economics and Policy;

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