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Modelling policy induced manure transports at large scale using an agent-based simulation model

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  • Schaefer, David
  • Britz, Wolfgang
  • Kuhn, Till

Abstract

ABMSIM, an agent-based model, is extended and applied to model short- and long-distance manure transports induced by the revised German Fertilization Ordinance (FO). It quantifies impacts on manure transports (max. 150 km), regional nutrient balances, and farm types, covering the farm population (~34,000 farms) of North Rhine-Westphalia, Germany (~35,000 km2). The large study area is realized by using an estimated meta-model based on simulation results with the detailed bio-economic farm model FarmDyn. Results indicate that manure exports increase due to FO measures related to P2O5 surpluses in pig farms, whereas increased transport distance is found in dairy and pig farms due to competition in the manure market. The study underlines that ABM applications for larger populations and landscapes are possible by reducing the computational load through meta-models. Future research can address improved meta-models based on econometric estimation or machine learning as well as feedback between manure market and its participants.

Suggested Citation

  • Schaefer, David & Britz, Wolfgang & Kuhn, Till, 2020. "Modelling policy induced manure transports at large scale using an agent-based simulation model," Discussion Papers 305270, University of Bonn, Institute for Food and Resource Economics.
    • Handle: RePEc:ags:ubfred:305270
    DOI: 10.22004/ag.econ.305270
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    1. Happe, K. & Hutchings, N.J. & Dalgaard, T. & Kellerman, K., 2011. "Modelling the interactions between regional farming structure, nitrogen losses and environmental regulation," Agricultural Systems, Elsevier, vol. 104(3), pages 281-291, March.
    2. Mack, Gabriele & Huber, Robert, 2017. "On-farm compliance costs and N surplus reduction of mixed dairy farms under grassland-based feeding systems," Agricultural Systems, Elsevier, vol. 154(C), pages 34-44.
    3. Heckelei, Thomas & Mittelhammer, Ronald C. & Jansson, Torbjorn, 2008. "A Bayesian Alternative To Generalized Cross Entropy Solutions For Underdetermined Econometric Models," Discussion Papers 56973, University of Bonn, Institute for Food and Resource Economics.
    4. 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.
    5. Christian Troost & Thomas Berger, 2015. "Dealing with Uncertainty in Agent-Based Simulation: Farm-Level Modeling of Adaptation to Climate Change in Southwest Germany," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(3), pages 833-854.
    6. Hugo Storm & Kathy Baylis & Thomas Heckelei, 2020. "Machine learning in agricultural and applied economics," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(3), pages 849-892.
    7. Kuhn, Till & Schäfer, David & Holm-Müller, Karin & Britz, Wolfgang, 2019. "On-farm compliance costs with the EU-Nitrates Directive: A modelling approach for specialized livestock production in northwest Germany," Agricultural Systems, Elsevier, vol. 173(C), pages 233-243.
    8. der Straeten, Bart Van & Buysse, Jeroen & Nolte, Stephan & Lauwers, Ludwig & Claeys, Dakerlia & Van Huylenbroeck, Guido, 2011. "Markets of concentration permits: The case of manure policy," Ecological Economics, Elsevier, vol. 70(11), pages 2098-2104, September.
    9. Bernd Lengers & Wolfgang Britz & Karin Holm-Müller, 2014. "What Drives Marginal Abatement Costs of Greenhouse Gases on Dairy Farms? A Meta-modelling Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(3), pages 579-599, September.
    10. Albert Zimmermann & Anke Möhring & Gabriele Mack & Ali Ferjani & Stefan Mann, 2015. "Pathways to Truth: Comparing Different Upscaling Options for an Agent-Based Sector Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(4), pages 1-11.
    11. Till Kuhn, 2017. "The revision of the German Fertiliser Ordinance in 2017," Discussion Papers 262054, University of Bonn, Institute for Food and Resource Economics.
    12. Case, S.D.C. & Oelofse, M. & Hou, Y. & Oenema, O. & Jensen, L.S., 2017. "Farmer perceptions and use of organic waste products as fertilisers – A survey study of potential benefits and barriers," Agricultural Systems, Elsevier, vol. 151(C), pages 84-95.
    13. 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.
    14. Bart Van der Straeten & Jeroen Buysse & Stephan Nolte & Ludwig Lauwers & Dakerlia Claeys & Guido Van Huylenbroeck, 2010. "A multi-agent simulation model for spatial optimisation of manure allocation," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 53(8), pages 1011-1030.
    15. Belhouchette, Hatem & Louhichi, Kamel & Therond, Olivier & Mouratiadou, Ioanna & Wery, Jacques & Ittersum, Martin van & Flichman, Guillermo, 2011. "Assessing the impact of the Nitrate Directive on farming systems using a bio-economic modelling chain," Agricultural Systems, Elsevier, vol. 104(2), pages 135-145, February.
    16. Happe, Kathrin & Kellermann, Konrad & Balmann, Alfons, 2006. "Agent-based analysis of agricultural policies: An illustration of the agricultural policy simulator AgriPoliS, its adaptation and behavior," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11(1).
    17. Seidel, Claudia & Britz, Wolfgang, 2019. "Estimating a Dual Value Function as a Meta-Model of a Detailed Dynamic Mathematical Programming Model," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 8(1), April.
    18. Willems, Jaap & van Grinsven, Hans J.M. & Jacobsen, Brian H. & Jensen, Tenna & Dalgaard, Tommy & Westhoek, Henk & Kristensen, Ib Sillebak, 2016. "Why Danish pig farms have far more land and pigs than Dutch farms? Implications for feed supply, manure recycling and production costs," Agricultural Systems, Elsevier, vol. 144(C), pages 122-132.
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    Environmental Economics and Policy; Farm Management; Research Methods/ Statistical Methods;
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