<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Sustainable tourism plays a dominant role in the economic well-being of some of the world’s countries, especially small ones. Tourism earnings account for a significant proportion of their GDP, and they have an overwhelming reliance on tourism as a source of service exports. The general trends in tourism earnings and volatilities in country risk ratings often go hand in hand, especially for small touristic countries in that region. The research presented in this paper provides a comparative assessment of the international country risk ratings and highlights the importance of their tourism earnings and tourism export. This study employs the ordered response and Poisson count panel data model for a sample of twenty-two countries most reliant on tourism, including Mediterranean countries. The aim of this study is to investigate whether the tourism determinants of sovereign credit ratings for those countries vary between different rating agencies (Standard &amp; Poor’s, Moody’s and Fitch’s). The key finding is that an increase in tourism earnings as a proportion of GDP and as the main export share in the total country export impairs the sovereign risk rating and turns out to be robust across the different methodologies.</p></abstract>

Sustainable tourism plays a dominant role in the economic well-being of some of the world’s countries, especially small ones. Tourism earnings account for a significant proportion of their GDP, and they have an overwhelming reliance on tourism as a source of service exports. The general trends in tourism earnings and volatilities in country risk ratings often go hand in hand, especially for small touristic countries in that region. The research presented in this paper provides a comparative assessment of the international country risk ratings and highlights the importance of their tourism earnings and tourism export. This study employs the ordered response and Poisson count panel data model for a sample of twenty-two countries most reliant on tourism, including Mediterranean countries. The aim of this study is to investigate whether the tourism determinants of sovereign credit ratings for those countries vary between different rating agencies (Standard & Poor’s, Moody’s and Fitch’s). The key finding is that an increase in tourism earnings as a proportion of GDP and as the main export share in the total country export impairs the sovereign risk rating and turns out to be robust across the different methodologies.

Does the International Tourism Industry Relax Sovereign Credit Ratings: The Case of Countries Most Reliant on Tourism

South East European Journal of Economics and Business

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Sustainable tourism plays a dominant role in the economic well-being of some of the world’s countries, especially small ones. Tourism earnings account for a...

Does the International Tourism Industry Relax Sovereign Credit Ratings: The Case of Countries Most Reliant on Tourism

Online veröffentlicht: 18. Jan. 2019

Seitenbereich: 100 - 111

DOI: https://doi.org/10.2478/jeb-2018-0014

Schlüsselwörter
tourism earnings, sovereign credit ratings, Mediterranean countries, world’s countries, ordered response panel model

© 2019 Zdravko Šergo, Jasmina Gržinić, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Does the International Tourism Industry Relax Sovereign Credit Ratings: The Case of Countries Most Reliant on Tourism

Online veröffentlicht: 18. Jan. 2019

Seitenbereich: 100 - 111

DOI: https://doi.org/10.2478/jeb-2018-0014

Schlüsselwörtertourism earnings, sovereign credit ratings, Mediterranean countries, world’s countries, ordered response panel model

© 2019 Zdravko Šergo, Jasmina Gržinić, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
tourism earnings, sovereign credit ratings, Mediterranean countries, world’s countries, ordered response panel model