IDEAS home Printed from https://ideas.repec.org/a/oup/erevae/v44y2017i2p231-254..html
   My bibliography  Save this article

The incidence of biogas feed-in tariffs on farmland rental rates – evidence from northern Germany

Author

Listed:
  • Solveigh Hennig
  • Uwe Latacz-Lohmann

Abstract

This paper investigates the effects of biogas production on farmland rental rates. We clarify the mechanisms by which biogas subsidies can inflate land rents and how regional livestock density may reinforce this effect. We use spatial econometrics to explain arable land rents in northern Germany based on 2010 agricultural census data. The results indicate that increasing biogas density is associated with a significant rise in the rental rates of arable land only in regions with high livestock densities. In biogas-intensive regions, biogas production is estimated to inflate land rents by €61 to €141 per hectare, depending on regional livestock densities.

Suggested Citation

  • Solveigh Hennig & Uwe Latacz-Lohmann, 2017. "The incidence of biogas feed-in tariffs on farmland rental rates – evidence from northern Germany," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(2), pages 231-254.
    • Handle: RePEc:oup:erevae:v:44:y:2017:i:2:p:231-254.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/erae/jbw023
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Henning Schaak & Oliver Musshoff, 2022. "The distribution of the rent–price relationship of agricultural land in Germany," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(3), pages 696-718.
    2. Xinyue Yang & Martin Odening & Matthias Ritter, 2019. "The Spatial and Temporal Diffusion of Agricultural Land Prices," Land Economics, University of Wisconsin Press, vol. 95(1), pages 108-123.
    3. Marten Graubner, 2018. "Lost in space? The effect of direct payments on land rental prices," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(2), pages 143-171.
    4. Plogmann, Jana & Mußhoff, Oliver & Odening, Martin & Ritter, Matthias, 2020. "What Moves the German Land Market? A Decomposition of the Land Rent-Price Ratio," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 69(1).
    5. Venus, Terese E. & Strauss, Felix & Venus, Thomas J. & Sauer, Johannes, 2021. "Understanding stakeholder preferences for future biogas development in Germany," Land Use Policy, Elsevier, vol. 109(C).
    6. Stefan Seifert & Silke Hüttel, 2023. "Is there a risk of a winner’s curse in farmland auctions?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(3), pages 1140-1177.
    7. Schaak, Henning & Mußhoff, Oliver, 2020. "A geoadditive distributional regression analysis of the local relationship of land prices and land rents in Germany," FORLand Working Papers 20 (2020), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    8. Hennig Solveigh & Breustedt Gunnar, 2018. "The Incidence of Agricultural Subsidies on Rental Rates for Grassland," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 238(2), pages 125-156, April.

    More about this item

    Keywords

    renewable energy act; biogas production; farmland rental rates; spatial econometrics;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:erevae:v:44:y:2017:i:2:p:231-254.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.