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Adjustment Costs Of Agri-Environmental Policy Switchings - A Multi-Agent Approach

Author

Listed:
  • Balmann, Alfons
  • Happe, Kathrin
  • Kellermann, Konrad
  • Kleingarn, Anne

Abstract

More powerful computers, the better availability of micro-data, and the development of new modeling techniques, such as multi-agent systems, allows to analyze agricultural policies from the bottom up. We present such an approach that considers the spatial interaction of thousands of individually behaving heterogeneous farms and apply it to analyze agri-environmental policies for a selected intensive production region in the southwest of Germany.

Suggested Citation

  • Balmann, Alfons & Happe, Kathrin & Kellermann, Konrad & Kleingarn, Anne, 2001. "Adjustment Costs Of Agri-Environmental Policy Switchings - A Multi-Agent Approach," 2001 Annual meeting, August 5-8, Chicago, IL 20506, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea01:20506
    DOI: 10.22004/ag.econ.20506
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    1. Arifovic, Jasmina, 1994. "Genetic algorithm learning and the cobweb model," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 3-28, January.
    2. Balmann, Alfons & Czasch, Britta & Odening, Martin, 1997. "Employment and Efficiency of Farms in Transition: an Empirical Analysis for Brandenburg," 1997 Conference, August 10-16, 1997, Sacramento, California 197079, International Association of Agricultural Economists.
    3. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    4. Balmann, Alfons, 1997. "Farm-Based Modelling of Regional Structural Change: A Cellular Automata Approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 24(1), pages 85-108.
    5. Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 245-260, September.
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    Cited by:

    1. Ostermeyer, Arlette & Schonau, Franziska, 2012. "Effects of biogas production on inter- and in-farm competition," 131st Seminar, September 18-19, 2012, Prague, Czech Republic 135772, European Association of Agricultural Economists.
    2. Balmann, Alfons & Happe, Kathrin, 2001. "Agentenbasierte Politik- und Sektoranalyse - Perspektiven und Herausforderungen," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 50(08), pages 1-12.
    3. Hailu, Atakelty & Schilizzi, Steven, 2003. "Investigating the performance of market-based instruments for resource conservation: the contribution of agent-based modelling," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57883, Australian Agricultural and Resource Economics Society.
    4. Yamashita, Ryohei & Hoshino, Satoshi, 2018. "Development of an agent-based model for estimation of agricultural land preservation in rural Japan," Agricultural Systems, Elsevier, vol. 164(C), pages 264-276.
    5. Josef APFELBECK & Marco HUIGEN & Tatjana KRIMLY, 2010. "The Importance of Spatial, Temporal and Social Scales in Integrated Modeling; Simulating the Effects of Climatic Change on District- and Farm-level Decision-Making in the Danube Catchment Area," Regional and Urban Modeling 284100004, EcoMod.
    6. Happe, Kathrin, 2005. "Agent-Based Modelling and Sensitivity Analysis by Experimental Design and Metamodelling: An Application to Modelling Regional Structural Change," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24464, European Association of Agricultural Economists.
    7. Schilling, Chris & Kaye-Blake, William & Post, Elizabeth & Rains, Scott, 2012. "The importance of farmer behaviour: an application of Desktop MAS, a multi-agent system model for rural New Zealand communities," 2012 Conference, August 31, 2012, Nelson, New Zealand 136070, New Zealand Agricultural and Resource Economics Society.
    8. Happe, Kathrin & Balmann, Alfons & Kellermann, Konrad, 2004. "The agricultural policy simulator (AgriPoliS): an agent-based model to study structural change in agriculture (Version 1.0)," IAMO Discussion Papers 71, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    9. 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.
    10. Apfelbeck, Josef & Huigen, Marco & Krimly, Tatjana, 2007. "The importance of spatial, temporal and social scales in Integrated modeling; simulating the effects of climatic change on district- and farm-level decision making in the Danube catchment area," 81st Annual Conference, April 2-4, 2007, Reading University, UK 7984, Agricultural Economics Society.
    11. Atakelty Hailu & Steven Schilizzi, 2004. "Are Auctions More Efficient Than Fixed Price Schemes When Bidders Learn?," Australian Journal of Management, Australian School of Business, vol. 29(2), pages 147-168, December.
    12. Albisser, Gregor, 2007. "Structural Adjustment Processes of Farming Enterprises: The Role of Trust for Cooperation and Collaboration Strategies," 2007 1st Forum, February 15-17, 2007, Innsbruck, Austria 6576, International European Forum on System Dynamics and Innovation in Food Networks.
    13. Albisser, Gregor & Lehmann, Bernard, 2006. "Modeling of Structural Adjustment Processes of Farming Enterprises: The Need for Implementation of Cooperation and Collaboration Strategies," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25250, International Association of Agricultural Economists.

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    More about this item

    Keywords

    Environmental Economics and Policy;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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