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Tourist Intensity in the World, 1995–2015: Two Measurement Proposals

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  • Carles Manera

    (Facultad de Economía, Edificio Jovellanos, Universitat De Les Illes Balears, 07122 Palma de Mallorca, Spain)

  • Elisabeth Valle

    (Facultad de Economía, Edificio Jovellanos, Universitat De Les Illes Balears, 07122 Palma de Mallorca, Spain)

Abstract

The work emphasizes the importance of measuring the tourist intensity of the economies that are oriented to tourism activity, with the aim of avoiding subjective arguments and being more related to perception than with the empirical contrast of the data. A tourist intensity index is proposed, which is made up of four essential variables: GDP, tourist spending, population, and the number of tourists. However, at the same time, it is complemented by a measure of tourist density, which helps to better understand the proposed index. This allows for the classification of countries according to the resulting index, and to calibrate their position in the set of tourist economies. This can be very useful for the application of economic policies aimed at correcting externalities that are generated in the advanced development of mass tourism.

Suggested Citation

  • Carles Manera & Elisabeth Valle, 2018. "Tourist Intensity in the World, 1995–2015: Two Measurement Proposals," Sustainability, MDPI, vol. 10(12), pages 1-20, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4546-:d:187176
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    References listed on IDEAS

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    1. Albalate, Daniel & Bel, Germà, 2010. "Tourism and urban public transport: Holding demand pressure under supply constraints," Tourism Management, Elsevier, vol. 31(3), pages 425-433.
    2. Gossling, Stefan & Hansson, Carina Borgstrom & Horstmeier, Oliver & Saggel, Stefan, 2002. "Ecological footprint analysis as a tool to assess tourism sustainability," Ecological Economics, Elsevier, vol. 43(2-3), pages 199-211, December.
    3. Diana Pérez Dacal & Melchor Fernández Fernández & Yolanda Pena Boquete, 2013. "Measuring Tourism Specialization: a composite indicator for the Spanish regions," Documentos de trabajo - Analise Economica 0056, IDEGA - Instituto Universitario de Estudios e Desenvolvemento de Galicia.
    4. Oksana Tokarchuk & Roberto Gabriele & Oswin Maurer, 2016. "Tourism intensity impact on satisfaction with life of German residents," Tourism Economics, , vol. 22(6), pages 1315-1331, December.
    5. Andreas Papatheodorou & Haiyan Song, 2005. "International Tourism Forecasts: Time-Series Analysis of World and Regional Data," Tourism Economics, , vol. 11(1), pages 11-23, March.
    6. Juan Ignacio Pulido Fernández & Marcelino Sánchez Rivero, 2009. "Measuring Tourism Sustainability: Proposal for a Composite Index," Tourism Economics, , vol. 15(2), pages 277-296, June.
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    Cited by:

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    3. Fei Choi & Chi Tin Hon & Yan Hua Mao & Ivan Ka Wai Lai, 2019. "Sustainable Development for Small Economy and Diversification from a Dominant Industry: Evidence from Macao," Sustainability, MDPI, vol. 11(6), pages 1-17, March.

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