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Valuing international marine resources: A meta-analysis on the Baltic Sea

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  • Ahtiainen, Heini

Abstract

The study uses meta-analysis to provide insights into the value of international marine resources, illustrating the issue with the case of the Baltic Sea. Willingness to pay for water quality improvements varies systematically with factors such as a country’s income level, characteristics of the change in water quality, water body type, study year and methodology. The results of the meta analysis are applied to benefit transfer in order to assess the distribution of the benefits of marine protection measures between the Baltic Sea countries and to compare the results with previous research. The net benefits of protecting the Baltic are positive, but they are asymmetrically distributed between the littoral countries.

Suggested Citation

  • Ahtiainen, Heini, 2009. "Valuing international marine resources: A meta-analysis on the Baltic Sea," Discussion Papers 48915, MTT Agrifood Research Finland.
  • Handle: RePEc:ags:mttfdp:48915
    DOI: 10.22004/ag.econ.48915
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    File URL: https://ageconsearch.umn.edu/record/48915/files/DP2009_1a.pdf
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    Cited by:

    1. Bertram, Christine & Rehdanz, Katrin, 2013. "On the environmental effectiveness of the EU Marine Strategy Framework Directive," Marine Policy, Elsevier, vol. 38(C), pages 25-40.
    2. Hyytiainen, Kari & Ahtiainen, Heini & Heikkila, Jaakko & Helin, Janne & Huhtala, Anni & Iho, Antti & Koikkalainen, Kauko & Miettinen, Antti & Pouta, Eija & Vesterinen, Janne, 2009. "An integrated simulation model to evaluate national policies for the abatement of agricultural nutrients in the Baltic Sea," Discussion Papers 49896, MTT Agrifood Research Finland.
    3. Phoebe Koundouri & Amerissa Giannouli & Ioannis Souliotis, 2016. "An Integrated Approach for Sustainable Environmental and Socio-Economic Development Using Offshore Infrastructure," DEOS Working Papers 1606, Athens University of Economics and Business.

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    Keywords

    Environmental Economics and Policy; Research Methods/ Statistical Methods;

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