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

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  • Gren, Ing-Marie

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%.

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  • Gren, Ing-Marie, 2008. "Adaptation and mitigation strategies for controlling stochastic water pollution: An application to the Baltic Sea," Ecological Economics, Elsevier, vol. 66(2-3), pages 337-347, June.
  • Handle: RePEc:eee:ecolec:v:66:y:2008:i:2-3:p:337-347
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    Cited by:

    1. Kari Hyytiäinen & Anni Huhtala, 2014. "Combating eutrophication in coastal areas at risk for oil spills," Annals of Operations Research, Springer, vol. 219(1), pages 101-121, August.
    2. Sergey S. Rabotyagov & Adriana M. Valcu-Lisman & Catherine L. Kling, 2016. "Resilient Provision of Ecosystem Services from Agricultural Landscapes: Trade-offs Involving Means and Variances of Water Quality Improvements," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(5), pages 1295-1313.
    3. Sergey S. Rabotyagov & Manoj Jha & Todd D. Campbell, 2010. "Nonpoint-Source Pollution Reduction for an Iowa Watershed: An Application of Evolutionary Algorithms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 58(s1), pages 411-431, December.
    4. Halkos, George, 2013. "Cost-effectiveness analysis in reducing nutrient loading in Baltic and Black Seas: A review," MPRA Paper 52296, University Library of Munich, Germany.
    5. Gren, Ing-Marie & Carlsson, Mattias, 2013. "Economic value of carbon sequestration in forests under multiple sources of uncertainty," Journal of Forest Economics, Elsevier, vol. 19(2), pages 174-189.
    6. Zhen, Chen & Zheng, Xiaoyong, 2015. "Measuring the Informational Value of Interpretive Shelf Nutrition Labels to Shoppers," 2016 Allied Social Science Association (ASSA) Annual Meeting, January 3-5, 2016, San Francisco, California 212812, Agricultural and Applied Economics Association.
    7. Sergey S. Rabotyagov, 2010. "Ecosystem Services under Benefit and Cost Uncertainty: An Application to Soil Carbon Sequestration," Land Economics, University of Wisconsin Press, vol. 86(4), pages 668-686.
    8. Zheng, Xiaojin & Wu, Baiyi & Cui, Xueting, 2017. "Cell-and-bound algorithm for chance constrained programs with discrete distributions," European Journal of Operational Research, Elsevier, vol. 260(2), pages 421-431.

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