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A multi-agent simulation model for spatial optimisation of manure allocation

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Listed:
  • Bart Van der Straeten
  • Jeroen Buysse
  • Stephan Nolte
  • Ludwig Lauwers
  • Dakerlia Claeys
  • Guido Van Huylenbroeck

Abstract

The EU Nitrate Directive has spurred many countries to regulate manure production and manure application. Farmers have three allocation options: spreading manure on their own land, transporting manure to other farmers' land or processing manure. The manure problem can be seen as an allocation problem. To better understand this allocation problem, we have developed the spatial mathematical programming multi-agent simulation (MP-MAS) model. This model has been applied in Flanders, Belgium, a region with a high concentration of livestock. The model evaluates the cost efficiency of policy intervention in the manure market through obliged processing. We propose to further optimise the policy using a regionally differentiated manure pressure indicator, which is directly derived from the dual outcome of the mathematical programme. This indicator increases transparency in the manure and processing market, leading to better decision support about location and type of manure processing.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:jenpmg:v:53:y:2010:i:8:p:1011-1030
    DOI: 10.1080/09640568.2010.495546
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    References listed on IDEAS

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    1. de Mol, Rudi M. & van Beek, Paul, 1991. "An OR contribution to the solution of the environmental problems in the Netherlands caused by manure," European Journal of Operational Research, Elsevier, vol. 52(1), pages 16-27, May.
    2. Nolte, Stephan, 2008. "The Future Of The World Sugar Market--A Spatial Price Equilibrium Analysis," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6663, European Association of Agricultural Economists.
    3. 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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    Citations

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    Cited by:

    1. Asai, Masayasu & Langer, Vibeke & Frederiksen, Pia & Jacobsen, Brian H., 2014. "Livestock farmer perceptions of successful collaborative arrangements for manure exchange: A study in Denmark," Agricultural Systems, Elsevier, vol. 128(C), pages 55-65.
    2. 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.
    3. Gebrezgabher, Solomie A. & Meuwissen, Miranda P.M. & Oude Lansink, Alfons G.J.M., 2014. "A multiple criteria decision making approach to manure management systems in the Netherlands," European Journal of Operational Research, Elsevier, vol. 232(3), pages 643-653.
    4. Willeghems, G. & De Clercq, L. & Michels, E. & Meers, E. & Buysse, J., 2016. "Can spatial reallocation of livestock reduce the impact of GHG emissions?," Agricultural Systems, Elsevier, vol. 149(C), pages 11-19.
    5. Buckley, Cathal & Fealy, Réamonn, 2012. "Intra-national importation of pig and poultry manure: acceptability under EU Nitrates Directive constraints," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 1(4), pages 1-7, July.
    6. Buysse, Jeroen & Frija, Aymen & Van der Straeten, Bart & Nolte, Stephan & Lauwers, Ludwig H. & Claeys, Dakerlia & Van Huylenbroeck, Guido, 2011. "The sampling bias in multi-agent simulation models," 122nd Seminar, February 17-18, 2011, Ancona, Italy 99599, European Association of Agricultural Economists.
    7. Kremmydas, Dimitris & Athanasiadis, Ioannis N. & Rozakis, Stelios, 2018. "A review of Agent Based Modeling for agricultural policy evaluation," Agricultural Systems, Elsevier, vol. 164(C), pages 95-106.
    8. 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.
    9. Buysse, J. & Bral, A., 2018. "An analysis of enforceability of fertilization application limits," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276045, International Association of Agricultural Economists.
    10. De Pue, David & Bral, Andreas & Buysse, Jeroen, 2019. "Abatement of ammonia emissions from livestock housing fine-tuned according to impact on protected habitats," Agricultural Systems, Elsevier, vol. 176(C).
    11. Mack, Gabriele & Möhring, Anke & Ferjani, Ali & Zimmermann, Albert & Mann, Stefan, 2013. "Transfer of single farm payment entitlements to farm successors: impact on structural change and rental prices in Switzerland," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 2(2), pages 1-18, August.
    12. Huber, Robert & Bakker, Martha & Balmann, Alfons & Berger, Thomas & Bithell, Mike & Brown, Calum & Grêt-Regamey, Adrienne & Xiong, Hang & Le, Quang Bao & Mack, Gabriele & Meyfroidt, Patrick & Millingt, 2018. "Representation of decision-making in European agricultural agent-based models," Agricultural Systems, Elsevier, vol. 167(C), pages 143-160.
    13. Van der Straeten, Bart & Buysse, Jeroen & Nolte, Stephan & Lauwers, Ludwig H. & Claeys, Dakerlia & Van Huylenbroeck, Guido, 2011. "The effect of EU derogation strategies on the complying costs of the nitrate directive," 122nd Seminar, February 17-18, 2011, Ancona, Italy 99426, European Association of Agricultural Economists.
    14. Massimiliano Calì & Stephan Nolte & Nicola Cantore, 2013. "Sweet and Sour Changes in Trade Regimes," The World Economy, Wiley Blackwell, vol. 36(6), pages 786-806, June.

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