IDEAS home Printed from https://ideas.repec.org/p/ags/iaae06/25383.html
   My bibliography  Save this paper

Impact of the CAP Reform on Small-Scaled Grassland Regions in Bavaria, Germany

Author

Listed:
  • Roeder, Norbert
  • Kantelhardt, Jochen
  • Kapfer, Martin

Abstract

The CAP reform of 2003 will change farmer's business environment in Europe. This paper analyses the impact of the reform on the land use in southern German grassland regions. The assessment will be based on model calculations for two typical grassland regions. Each study area represents one village with its specific farm structure and natural conditions. These regions differ in their excellence with respect to agricultural use. In Southern Germany small to medium sized family farms is the most frequent type of farming. We use a regional land-use model that conceives farms as independent agents aiming at maximum individual utility. Farm agents optimize their farm organisation with the help of a linear-programming algorithm that takes into account natural, economic and personal restrictions. Interactions between farms take place on the land market, which is modelled as an equilibrium market. It becomes clear that the CAP reform of 2003 has various significant consequences with respect to grassland use. In particular the decreasing profitability of dairy farming will relatively promote low-intensive forms of grassland use, including mulching. If some payments (e. g. agri-environmental payments) remain coupled to livestock production area-wide agriculture can be maintained even in marginal areas. Land rents will generally increase in more marginal areas due to the effects of decoupling.

Suggested Citation

  • Roeder, Norbert & Kantelhardt, Jochen & Kapfer, Martin, 2006. "Impact of the CAP Reform on Small-Scaled Grassland Regions in Bavaria, Germany," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25383, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae06:25383
    DOI: 10.22004/ag.econ.25383
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/25383/files/pp060279.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.25383?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hare, M & Deadman, P, 2004. "Further towards a taxonomy of agent-based simulation models in environmental management," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 25-40.
    2. Happe, Kathrin & Balmann, Alfons, 2002. "Struktur-, Effizienz- und Einkommenswirkungen von Direktzahlungen," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 51(08), pages 1-13.
    3. Jager, W. & Janssen, M. A. & De Vries, H. J. M. & De Greef, J. & Vlek, C. A. J., 2000. "Behaviour in commons dilemmas: Homo economicus and Homo psychologicus in an ecological-economic model," Ecological Economics, Elsevier, vol. 35(3), pages 357-379, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Silke Huettel & Anne Margarian, 2009. "Structural change in the West German agricultural sector," Agricultural Economics, International Association of Agricultural Economists, vol. 40(s1), pages 759-772, November.
    2. Roeder, Norbert & Lederbogen, Dirk & Trautner, Juergen & Bergamini, Ariel & Stofer, Silvia & Scheidegger, Christoph, 2010. "The impact of changing agricultural policies on jointly used rough pastures in the Bavarian Pre-Alps: An economic and ecological scenario approach," Ecological Economics, Elsevier, vol. 69(12), pages 2435-2447, October.
    3. Roeder, Norbert & Lederbogen, Dirk & Trautner, Juergen & Bergamini, Ariel & Stofer, Silvia & Scheidegger, Christoph, 2009. "The impact of changing agricultural policies on jointly used rough pastures in the Bavarian Pre-Alps - an economic and ecological scenario approach," 83rd Annual Conference, March 30 - April 1, 2009, Dublin, Ireland 51070, Agricultural Economics Society.
    4. Farwick, J. & Krämer, J., 2009. "Auswirkungen möglicher Agrarpolitikszenarien auf landwirtschaftliche Betriebe in Nordrhein-Westfalen: Eine Simulation anhand typischer Betriebe," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 44, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kantelhardt, Jochen & Kapfer, Martin & Roeder, Norbert, 2005. "A Regional Multi-Agent Model as a Tool for Modelling Small Structured Agricultural Land-Use," 89th Seminar, February 2-5, 2005, Parma, Italy 234610, European Association of Agricultural Economists.
    2. An, Li, 2012. "Modeling human decisions in coupled human and natural systems: Review of agent-based models," Ecological Modelling, Elsevier, vol. 229(C), pages 25-36.
    3. Yang Chen & Martha M. Bakker & Arend Ligtenberg & Arnold K. Bregt, 2016. "How Are Feedbacks Represented in Land Models?," Land, MDPI, vol. 5(3), pages 1-20, September.
    4. Schlüter, Maja & Baeza, Andres & Dressler, Gunnar & Frank, Karin & Groeneveld, Jürgen & Jager, Wander & Janssen, Marco A. & McAllister, Ryan R.J. & Müller, Birgit & Orach, Kirill & Schwarz, Nina & Wij, 2017. "A framework for mapping and comparing behavioural theories in models of social-ecological systems," Ecological Economics, Elsevier, vol. 131(C), pages 21-35.
    5. Geovanna Hinojoza-Castro & Montserrat Gómez-Delgado & Wenseslao Plata-Rocha, 2022. "Real Estate Developers as Agents in the Simulation of Urban Sprawl," Sustainability, MDPI, vol. 14(15), pages 1-12, July.
    6. Johannes Dahlke & Kristina Bogner & Matthias Mueller & Thomas Berger & Andreas Pyka & Bernd Ebersberger, 2020. "Is the Juice Worth the Squeeze? Machine Learning (ML) In and For Agent-Based Modelling (ABM)," Papers 2003.11985, arXiv.org.
    7. James D. A. Millington & Hang Xiong & Steve Peterson & Jeremy Woods, 2017. "Integrating Modelling Approaches for Understanding Telecoupling: Global Food Trade and Local Land Use," Land, MDPI, vol. 6(3), pages 1-18, August.
    8. Osberg, Gustav & Schulz, Felix & Bretter, Christian, 2024. "Navigating sustainable futures: The role of terminal and instrumental values," Ecological Economics, Elsevier, vol. 225(C).
    9. Richter, Andries & Grasman, Johan, 2013. "The transmission of sustainable harvesting norms when agents are conditionally cooperative," Ecological Economics, Elsevier, vol. 93(C), pages 202-209.
    10. Calum Brown & Dave Murray-Rust & Jasper van Vliet & Shah Jamal Alam & Peter H Verburg & Mark D Rounsevell, 2014. "Experiments in Globalisation, Food Security and Land Use Decision Making," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-24, December.
    11. J. Gareth Polhill & Dawn C. Parker & Daniel Brown & Volker Grimm, 2008. "Using the ODD Protocol for Describing Three Agent-Based Social Simulation Models of Land-Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-3.
    12. Yapanto, Lis M & Harahab, Nuddin & , Sudarto & Olii, Abdul Hafidz, 2021. "Feasibility Test of Fishing Variables on Increasing Fishermen's Income in Tomini Bay, Gorontalo Province," OSF Preprints yvjez, Center for Open Science.
    13. Fraser J Morgan & Adam J Daigneault, 2015. "Estimating Impacts of Climate Change Policy on Land Use: An Agent-Based Modelling Approach," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-20, May.
    14. George Van Voorn & Geerten Hengeveld & Jan Verhagen, 2020. "An agent based model representation to assess resilience and efficiency of food supply chains," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-27, November.
    15. Katarzyna Ostasiewicz & Michal H. Tyc & Piotr Goliczewski & Piotr Magnuszewski & Andrzej Radosz & Jan Sendzimir, 2006. "Integrating economic and psychological insights in binary choice models with social interactions," Papers physics/0609170, arXiv.org.
    16. Bert, Federico E. & Rovere, Santiago L. & Macal, Charles M. & North, Michael J. & Podestá, Guillermo P., 2014. "Lessons from a comprehensive validation of an agent based-model: The experience of the Pampas Model of Argentinean agricultural systems," Ecological Modelling, Elsevier, vol. 273(C), pages 284-298.
    17. Niamir, Leila & Filatova, Tatiana & Voinov, Alexey & Bressers, Hans, 2018. "Transition to low-carbon economy: Assessing cumulative impacts of individual behavioral changes," Energy Policy, Elsevier, vol. 118(C), pages 325-345.
    18. Robert Huber & Hang Xiong & Kevin Keller & Robert Finger, 2022. "Bridging behavioural factors and standard bio‐economic modelling in an agent‐based modelling framework," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 35-63, February.
    19. Manzoor, Talha & Rovenskaya, Elena & Muhammad, Abubakr, 2016. "Game-theoretic insights into the role of environmentalism and social-ecological relevance: A cognitive model of resource consumption," Ecological Modelling, Elsevier, vol. 340(C), pages 74-85.
    20. Chion, Clément & Lamontagne, P. & Turgeon, S. & Parrott, L. & Landry, J.-A. & Marceau, D.J. & Martins, C.C.A. & Michaud, R. & Ménard, N. & Cantin, G. & Dionne, S., 2011. "Eliciting cognitive processes underlying patterns of human–wildlife interactions for agent-based modelling," Ecological Modelling, Elsevier, vol. 222(14), pages 2213-2226.

    More about this item

    Keywords

    Agricultural and Food Policy;

    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:ags:iaae06:25383. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.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.