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German Renewable Energy Policies and Their Implications for Local Land Use – Maize for Biogas From 2008 - 2018 in Brandenburg

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  • Lakes, Tobia
  • Appel, Franziska
  • Ovando, Felipe Vergara

Abstract

This study investigates the spatiotemporal dynamics of maize cultivation for biogas production in Brandenburg, Germany, from 2008 to 2018, employing a spatially explicit mul- ticriteria analysis. By combining plot-level land-use data from the Integrated Administration and Control System (IACS) with biogas pnt information, we analyze the likelihood of maize cultiva- tion for biogas at the plot level and find that maize for biogas accounts for over 5% of the total arable land in Brandenburg. We identify patterns of high concentration, particularly in the north- west of the region. The analysis also reveals a steady increase in maize cultivation, aligning with regulatory changes in the Renewable Energy Sources Act (EEG). These findings offer valuable insights into the spatial patterns and drivers of biogas maize production, providing a basis for future environmental and economic research. The study highlights the need for plot- level information to evaluate the effects of renewable energy policies on local land use.

Suggested Citation

  • Lakes, Tobia & Appel, Franziska & Ovando, Felipe Vergara, 2025. "German Renewable Energy Policies and Their Implications for Local Land Use – Maize for Biogas From 2008 - 2018 in Brandenburg," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 74, March.
  • Handle: RePEc:ags:gjagec:355608
    DOI: 10.22004/ag.econ.355608
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    References listed on IDEAS

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    1. Olena Myrna & Martin Odening & Matthias Ritter, 2019. "The Influence of Wind Energy and Biogas on Farmland Prices," Land, MDPI, vol. 8(1), pages 1-14, January.
    2. Britz, Wolfgang & Delzeit, Ruth, 2013. "The impact of German biogas production on European and global agricultural markets, land use and the environment," Energy Policy, Elsevier, vol. 62(C), pages 1268-1275.
    3. Balmann, Alfons & Graubner, Marten & Müller, Daniel & Hüttel, Silke & Seifert, Stefan & Odening, Martin & Plogmann, Jana & Ritter, Matthias, 2021. "Market Power in Agricultural Land Markets: Concepts and Empirical Challenges," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 70(04), January.
    4. Sultana, Arifa & Kumar, Amit, 2014. "Development of tortuosity factor for assessment of lignocellulosic biomass delivery cost to a biorefinery," Applied Energy, Elsevier, vol. 119(C), pages 288-295.
    5. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    6. Couture, Toby & Gagnon, Yves, 2010. "An analysis of feed-in tariff remuneration models: Implications for renewable energy investment," Energy Policy, Elsevier, vol. 38(2), pages 955-965, February.
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