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Lecture notes 1, 4910 spring 2005, FRF Spatial environmental models Spatial configuration Key variable: transfer coefficient a ij a ij Transfer coefficient Source (Point, Mobile, Diffuse) Environmental receptor
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The Generic model of spatially distributed pollutants Source abatement cost function Deposition of pollutants in the environment
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Uniformly distributed pollutants Uniform mix: multiple recipients
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Non-uniformly distributed pollutants Non-uniform mix:
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Structured transfer: river pollution At receptor j: a ranking of transfer coefficients starting upstream at source 1 and ending at nearest source N j
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The spatial social problem General social problem formulation with damage function
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The spatial social problem, cont. The general first order condition Non-uniformly mixed: Source marginal abatement cost equal to social marginal damage weighted with transfer coefficients. NB! In general different marginal costs between sources.
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Cost effective solutions, cont. River pollution Uniformly mixed Marginal abatement cost equal for all sources and equal to total marginal damage
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The pollutant tax solution Source decision problem The tax on pollutants is source specific, and should be set equal to the weighted marginal damage in the optimal case. Uniform distribution: tax rate equal for sources
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Ambient standard Environmental service of receptors Damage function The physical ambient standard is the level of deposition of pollutants, d j
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Environmental policy in practice Formulating limits for dj; dj* Social problem: The Lagrangian (Economists’ mathematical manual; Kuhn – Tucker, maximisation)
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Environmental policy in practice, cont. First order conditions Interpretation: Marginal abatement costs equal to shadow prices on ambient constraints weighted with transfer coefficients
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Environmental policy in practice, cont. Interpretation of shadow price Envelope theorem Shadow price positive for binding constraints
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