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Micro-simulation as a tool to assess policy concerning non-point source pollution: the case of ammonia in Dutch agriculture

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Listed:
  • Kruseman, Gideon
  • Blokland, Pieter-Willem
  • Bouma, Foppe
  • Luesink, Harry H.
  • Mokveld, Lennard J.
  • Vrolijk, Hans C.J.

Abstract

Non-point source pollution is notoriously difficult to assess. A relevant example is ammonia emissions in the Netherlands. Since the mid 1980s the Dutch government has sought to reduce emissions through a wide variety of measures, the effect of which in turn is monitored using modeling techniques. This paper presents the current generation of mineral emission models from agriculture based on micro-simulation of farms in combination with a spatial equilibrium model for the dispersion of manure from excess regions with high livestock intensities within the country to areas with low livestock intensities. The micro-simulation approach retains the richness in the heterogeneity of farm household decision making that are the core cause of the difficulty of assessing non-point source pollution, while using the best available data to track corresponding pollution. Examples are provided that illustrate the strengths of the modeling framework for both pollution monitoring and environmental policy scenario analyses.

Suggested Citation

  • Kruseman, Gideon & Blokland, Pieter-Willem & Bouma, Foppe & Luesink, Harry H. & Mokveld, Lennard J. & Vrolijk, Hans C.J., 2008. "Micro-simulation as a tool to assess policy concerning non-point source pollution: the case of ammonia in Dutch agriculture," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6661, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaa107:6661
    DOI: 10.22004/ag.econ.6661
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    References listed on IDEAS

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    1. Floor Brouwer, Petra Hellegers, Marga Hoogeveen, Harry Luesink, 2001. "Nitrogen pollution control in the European Union: challenging the requirements of the Nitrates Directive with the Agenda 2000 proposals," International Journal of Agricultural Resources, Governance and Ecology, Inderscience Enterprises Ltd, vol. 1(2), pages 136-144.
    2. Orcutt, Guy H., 1990. "From engineering to microsimulation : An autobiographical reflection," Journal of Economic Behavior & Organization, Elsevier, vol. 14(1), pages 5-27, September.
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    Cited by:

    1. Doole, Graeme J., 2012. "Cost-effective policies for improving water quality by reducing nitrate emissions from diverse dairy farms: An abatement–cost perspective," Agricultural Water Management, Elsevier, vol. 104(C), pages 10-20.
    2. Chyzheuskaya, Aksana & O’Donoghue, Cathal & O’Neill, Stephen & Hynes, Stephen, 2015. "Using A Spatialmicrosimulationmodel To Estimate The Potential Economic Impact On Agriculture Of Possible Freshwater Pearl Mussel Protection Strategies," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212669, European Association of Agricultural Economists.
    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.

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    Keywords

    Environmental Economics and Policy; Research Methods/ Statistical Methods;

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