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Identifying the Link Between Coastal Tourism and Marine Ecosystems in the Baltic, North Sea, and Mediterranean Countries

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  • Vladimir Otrachshenko

    (Fondazione Eni Enrico Mattei, Euro-Mediterranean Center on Climate Change and Nova School of Business and Economics and Universidade Nova de Lisboa)

  • Francesco Bosello

    (Fondazione Eni Enrico Mattei, Euro-Mediterranean Center on Climate Change and University of Milan)

Abstract

This paper examines the impact of marine ecosystem quality on inbound coastal tourism in the Baltic, North Sea, and Mediterranean countries. Given extensive empirical findings in ecological science, we use marine protected areas (MPAs) and the fraction of species that are shed in each country’s exclusive economic zone that are overexploited or collapsed as a proxy for marine ecosystem quality. We use an autoregressive distributed lag model in a destination-origin panel set up. The empirical findings of this paper suggest that MPAs have a negative direct effect on tourism. However, this effect is reversed when the interaction terms with economic variables are included. Also, by using the fraction of species that are overexploited as an indicator of the deterioration of marine ecosystem quality, we find a considerable negative impact of this index on inbound coastal tourism. The short-term (current) impact of this index on tourism constitutes less than half of the long-term impact. Results provide valuable information for policy makers, suggesting that measures enhancing marine ecosystem quality should be considered in addition to conventional tourism policies focused on price.

Suggested Citation

  • Vladimir Otrachshenko & Francesco Bosello, 2015. "Identifying the Link Between Coastal Tourism and Marine Ecosystems in the Baltic, North Sea, and Mediterranean Countries," Working Papers 2015.16, Fondazione Eni Enrico Mattei.
    • Handle: RePEc:fem:femwpa:2015.16
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    References listed on IDEAS

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    More about this item

    Keywords

    Coastal Tourism; Marine Ecosystem Quality; Panel Data;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources

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