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Measuring the Impact of Tourism Upon Urban Economies: A Review of Literature

Author

Listed:
  • Gasparino, Ugo
  • Bellini, Elena
  • del Corpo, Barbara
  • Malizia, William
Abstract
Tourism is increasingly seen as a potential lever towards high economic growth, measured both in terms of income and employment. In recent years, interest in tourism has spread rapidly throughout many small and medium European cities, which previously have not considered themselves as tourist destinations. This paper reviews and summarises the existing literature on the economic assessment of tourism with the objectives of, firstly, identifying the main categories of impacts and, secondly, constructing an inventory of methodologies available to assess them. We will progress step by step, starting from the most simplistic approaches and relaxing assumptions as we proceed. Firstly, we assume a static setting, with spare capacity. In such a setting (partial equilibrium), prices do not respond to demand shocks: only quantities (production, income and jobs) adjust. Secondly, we relax this assumption and assume that there is no spare capacity: prices respond to increasing demand (general equilibrium), leading to reallocation of resources across sectors. We then move from a static to a dynamic setting and survey those contributions that look at the relationship between tourism specialisation and long-run growth.

Suggested Citation

  • Gasparino, Ugo & Bellini, Elena & del Corpo, Barbara & Malizia, William, 2008. "Measuring the Impact of Tourism Upon Urban Economies: A Review of Literature," Knowledge, Technology, Human Capital Working Papers 37846, Fondazione Eni Enrico Mattei (FEEM).
    • Handle: RePEc:ags:feemkt:37846
    DOI: 10.22004/ag.econ.37846
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    References listed on IDEAS

    as
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    Cited by:

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    2. Ya-Yen Sun & Kam-Fai Wong, 2010. "An Important Factor In Job Estimation: A Nonlinear Jobs-To-Sales Ratio With Respect To Capacity Utilization," Economic Systems Research, Taylor & Francis Journals, vol. 22(4), pages 427-446.
    3. Juan Carlos Pérez Mesa & Emilio Galdeano Gómez & Garcia Barranco, 2015. "Value of Intermediation in the Spanish Tourist Supply Chain," Tourism Economics, , vol. 21(4), pages 791-805, August.
    4. Alexander Otgaar & Jeroen Klijs, 2011. "How to measure the regional impact of industrial tourism?," ERSA conference papers ersa10p947, European Regional Science Association.
    5. Jeroen Klijs & Wim Heijman & Diana Korteweg Maris & Jeroen Bryon, 2012. "Criteria for Comparing Economic Impact Models of Tourism," Tourism Economics, , vol. 18(6), pages 1175-1202, December.
    6. Elena Bellini & Barbara Del Corpo & Ugo Gasparino & William Malizia, 2008. "Effects of Tourism Upon the Economy of Small and Medium-Sized European Cities. Cultural Tourists and “The Others”," Working Papers 2008.44, Fondazione Eni Enrico Mattei.
    7. Luis Robles Teigeiro & Jesús Sanjuán Solís, 2013. "Linkages of the Hotel and Restaurant Industry: An International Comparative Analysis," Tourism Economics, , vol. 19(1), pages 37-62, February.
    8. Akmaral Sapiyeva & Meirzhan Yessenov & Aliya Aktymbayeva & Yeldar Nuruly & Mereke Sakypbek & Olesya Razdobudko & Zhanna Assipova, 2024. "Assessing the Multiplier Effect of National Parks: A Case Study of Buiratau State National Nature Park in Kazakhstan," Sustainability, MDPI, vol. 16(19), pages 1-24, September.
    9. Douglas S. Noonan & Ilde Rizzo, 2017. "Economics of cultural tourism: issues and perspectives," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(2), pages 95-107, May.
    10. Robles Teigeiro, Luis & Díaz, Bárbara, 2014. "Estimation of multipliers for the activity of hotels and restaurants," Tourism Management, Elsevier, vol. 40(C), pages 27-34.

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    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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