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Does Complex Hydrology Require Complex Water Quality Policy? NManager Simulations for Lake Rotorua

Author

Listed:
  • Simon Anastasiadis

    (Motu Economic and Public Policy Research)

  • Marie-Laure Nauleau

    (ENSAE ParisTech)

  • Suzi Kerr

    (Motu Economic and Public Policy Research)

  • Tim Cox

    (National Institute for Water and Atmospheric Research)

  • Kit Rutherford

    (National Institute for Water and Atmospheric Research)

Abstract

This paper examines six different approaches to nutrient management, and simulates the economic costs and environmental impacts associated with them using NManager, a partial equilibrium simulation model developed by Motu and NIWA, the National Institute for Water and Atmospheric Research. We focus on Lake Rotorua in the Bay of Plenty in New Zealand, where the regional council is concerned with the decline in the lake's water quality and has set a goal to restore the lake to its condition during the 1960s. Reaching this goal will require significant reductions in the amount of nutrients discharged into the lake, especially from non-point sources such as farm land. Managing water quality is made difficult by the presence of groundwater lags in the catchment: nutrients that leach from the soil arrive at the lake over multiple years. The mitigation schemes we consider are land retirement, requiring best practice, explicit nitrogen limits on landowners, a simple nutrient trading scheme, and two more complex trading schemes that account for groundwater lags. We demonstrate that best practice alone is not sufficient to meet the environmental target for Lake Rotorua. Under an export trading scheme, the distribution of mitigation across the catchment is more cost effective than its distribution under explicit limits on landowners or land retirement. However, the more complex trading schemes do not result in sufficient, or sufficiently certain, gains in cost effectiveness over the simple trading scheme to justify the increase in complexity involved in their implementation.

Suggested Citation

  • Simon Anastasiadis & Marie-Laure Nauleau & Suzi Kerr & Tim Cox & Kit Rutherford, 2011. "Does Complex Hydrology Require Complex Water Quality Policy? NManager Simulations for Lake Rotorua," Working Papers 11_14, Motu Economic and Public Policy Research.
  • Handle: RePEc:mtu:wpaper:11_14
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    File URL: https://motu-www.motu.org.nz/wpapers/11_14.pdf
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    References listed on IDEAS

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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Doole, Graeme J. & Marsh, Dan K., 2014. "Use of positive mathematical programming invalidates the application of the NZFARM model: Response to Daigneault et al. (2014)," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(2), April.
    2. Anastasiadis, Simon, 2012. "An Inertia Model for the Adoption of New Farming Practices," 2012 Conference, August 31, 2012, Nelson, New Zealand 136038, New Zealand Agricultural and Resource Economics Society.
    3. Simon Anastasiadis & Suzi Kerr & Wei Zhang & Corey Allan & William Power, 2014. "Land Use in Rural New Zealand: Spatial Land Use, Land-use Change, and Model Validation," Working Papers 14_07, Motu Economic and Public Policy Research.
    4. Jo Hendy & Levente Timar & Dominic White, 2018. "Land-use modelling in New Zealand: current practice and future needs," Working Papers 18_16, Motu Economic and Public Policy Research.
    5. Barns, Sandra A. & Young, Justine, 2013. "Cap-and-trade of diffuse emissions of nitrogen in Lake Taupo Catchment: Reviewing the policy decisions and the market," 2013 Conference, August 28-30, 2013, Christchurch, New Zealand 187039, New Zealand Agricultural and Resource Economics Society.

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    More about this item

    Keywords

    groundwater; Lake Rotorua; model; nutrients; nutrient trading; water quality; non-point source pollution;
    All these keywords.

    JEL classification:

    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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