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Contingent Behavior and Asymmetric Preferences for Baltic Sea Coastal Recreation

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  • Bertram, Christine
  • Ahtiainen, Heini
  • Meyerhoff, Jürgen
  • Pakalniete, Kristine
  • Pouta, Eija
  • Rehdanz, Katrin

Abstract

In this study, we augment the traditional travel cost approach with contingent behavior data for coastal recreation. The objective is to analyze the welfare implications of future changes in the conditions of the Baltic Sea due to climate change and eutrophication. Adding to the literature, we assess the symmetricity of welfare effects caused by improvements and deteriorations in environmental conditions for a set of quality attributes. Responses are derived from identical online surveys in Finland, Germany and Latvia. We estimate recreational benefits using linear and non-linear negative binomial random-effects models. The calculated annual consumer surpluses are considerably influenced by the magnitude of the environmental changes in the three countries. We also observe asymmetries in the effects of environmental improvements and deteriorations on the expected number of visits. In particular, the results indicate that deteriorations lead to larger or more significant impacts than improvements in the case of blue-green algal blooms and algae onshore for Finland, water clarity for Germany, and water clarity and blue-green algal blooms for Latvia. For the remaining attributes, the effects are ambiguous.

Suggested Citation

  • Bertram, Christine & Ahtiainen, Heini & Meyerhoff, Jürgen & Pakalniete, Kristine & Pouta, Eija & Rehdanz, Katrin, 2020. "Contingent Behavior and Asymmetric Preferences for Baltic Sea Coastal Recreation," Open Access Publications from Kiel Institute for the World Economy 225991, Kiel Institute for the World Economy.
    • Handle: RePEc:zbw:ifwkie:225991
    DOI: 10.1007/s10640-019-00388-x
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    Cited by:

    1. Katsuhito Nohara & Masaki Narukawa & Akira Hibiki, 2024. "Using contingent behaviour analysis to estimate benefits from coral reefs in Kume Island, Japan: A Poisson‐inverse Gaussian approach with on‐site correction," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 68(4), pages 752-768, October.
    2. Kristīne Pakalniete & Heini Ahtiainen & Juris Aigars & Ingrīda Andersone & Aurelija Armoškaite & Henning Sten Hansen & Solvita Strāķe, 2021. "Economic Valuation of Ecosystem Service Benefits and Welfare Impacts of Offshore Marine Protected Areas: A Study from the Baltic Sea," Sustainability, MDPI, vol. 13(18), pages 1-30, September.
    3. Xie, Lusi & Adamowicz, Wiktor & Kecinski, Maik & Fooks, Jacob R., 2022. "Using economic experiments to assess the validity of stated preference contingent behavior responses," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).
    4. Osberghaus, Daniel & Botzen, W.J. Wouter & Kesternich, Martin, 2025. "The intention-behavior gap in climate change adaptation: Evidence from longitudinal survey data," Ecological Economics, Elsevier, vol. 231(C).

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    JEL classification:

    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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