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Adaptation and mitigation strategies for controlling stochastic water pollution: An application to the Baltic Sea

Publication: Contribution to journalJournal articlepeer-review

Abstract

The purpose of this paper is to analyse and compare the costs of two strategies against transboundary water pollution, mitigation and adaptation measures, which are linked with respect to risk. Chance constraint programming is applied, and the analytical results indicate that total costs for given probabilistic targets are higher (lower) than the costs without risk linkage for negative (positive) covariance between the two classes of measures. A comparison of two international policies-cooperation and national uniform standards-indicates that cleaning under non-cooperative uniform national standards can be increased when considering stochastic pollution and linkage in risk between mitigation and adaptation measures. The empirical application to the Baltic Sea shows that the risk linkage can increase or decrease minimum costs for a given probabilistic target under cooperative solutions by 17 or 13%, and decrease the cost under national uniform policy for a given overall probabilistic target by approximately 10%. (C) 2007 Elsevier B.V. All rights reserved.
Original languageEnglish
Pages (from-to)337-347
Number of pages11
JournalEcological Economics
Volume66
Issue number2-3
DOIs
Publication statusPublished - 2008

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  2. SDG 13 - Climate Action
    SDG 13 Climate Action
  3. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • stochastic water pollution
  • mitigation
  • adaptation
  • cost effectiveness
  • stochastic programming
  • covariance

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