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The shadow price of assimilative capacity in optimal flow pollution control

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  • Leandri, Marc

Abstract

We present a model of optimal flow pollution control considering explicitly the dynamics of the corresponding assimilative capacity. We focus first on the degradation of this assimilative capacity triggered by pollution excesses and determine the intertemporal efficient pollution path, taking into account this ecological feedback. Our analysis shows that a minimum level of initial assimilative capacity is necessary to prevent its optimal extinction. We then allow for the restoration of assimilative capacity and characterize the conditions under which this option frees the optimal policy from the dependency on the initial conditions. In both cases our results call for environmental standards based on the shadow price of assimilative capacity that are stricter than the static optimum commonly used in flow pollution control.

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  • Leandri, Marc, 2009. "The shadow price of assimilative capacity in optimal flow pollution control," Ecological Economics, Elsevier, vol. 68(4), pages 1020-1031, February.
    • Handle: RePEc:eee:ecolec:v:68:y:2009:i:4:p:1020-1031
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    2. Comello, Stephen D. & Maltais-Landry, Gabriel & Schwegler, Benedict R. & Lepech, Michael D., 2014. "Firm-level ecosystem service valuation using mechanistic biogeochemical modeling and functional substitutability," Ecological Economics, Elsevier, vol. 100(C), pages 63-73.
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    5. Kenichi Shimamoto, 2019. "Accumulative Pollution, Environmental Regulation and Environmental Costs: Dynamic Approach," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 17(1-B), pages 114-131.
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    7. Onyimadu, Chukwuemeka, 2015. "Managing an Accumulative Inorganic Pollutant: An Optimal Tax Prescription for the Social Planner," MPRA Paper 77196, University Library of Munich, Germany.
    8. Fouad El Ouardighi & Eugene Khmelnitsky & Marc Leandri, 2020. "Production-based pollution versus deforestation: optimal policy with state-independent and-dependent environmental absorption efficiency restoration process," Annals of Operations Research, Springer, vol. 292(1), pages 1-26, September.

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