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Climate Change and Tourism in Tuscany, Italy. What if heat becomes unbearable?

Author

Listed:
  • Mattia Cai

    (Department Land, Environment, Agriculture and Forestry, University of Padua, and The Mediterranean Science Commission – CIESM, Principauté de Monaco)

  • Roberto Ferrise

    (CNR-IBIMET, National Research Council Institute of Biometeorology, Florence)

  • Marco Moriondo

    (CNR-IBIMET, National Research Council Institute of Biometeorology, Florence)

  • Paulo A.L.D. Nunes

    (The Mediterranean Science Commission – CIESM, Principauté de Monaco and Department Land, Environment, Agriculture and Forestry, University of Padua)

  • Marco Bindi

    (Department of Plant, Soil and Environmental Science - University of Florence)

Abstract

This paper investigates the empirical magnitude of climate conditions on tourist flows in Tuscany, exploring the use of a fine spatial scale analysis. In fact, we explore the use of an 8-year panel dataset of Tuscany’s 254 municipalities, examining how tourist inflows respond to variation in local weather conditions. In particular, as the area enjoys a fairly mild Mediterranean climate, our analysis focused on temperature extremes at key times of the tourist season, i.e., on maximum summer temperature and minimum winter temperature. Separate analyses are conducted for domestic and international tourists, so as to test the differences in the preferences among these distinct groups (or types of demand). Estimation results show the impact of climate change on tourist flows appears to vary significantly among destinations depending on the kind of attractions they offer, and those areas that host the main artistic and historical sights, affecting predominantly the domestic rather than the international tourists.

Suggested Citation

  • Mattia Cai & Roberto Ferrise & Marco Moriondo & Paulo A.L.D. Nunes & Marco Bindi, 2011. "Climate Change and Tourism in Tuscany, Italy. What if heat becomes unbearable?," Working Papers 2011.67, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2011.67
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    References listed on IDEAS

    as
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    2. Jacqueline M. Hamilton & David J. Maddison & Richard S.J. Tol, 2003. "Climate Change And International Tourism: A Simulation Study," Working Papers FNU-31, Research unit Sustainability and Global Change, Hamburg University, revised Sep 2003.
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    4. Andrea Bigano & Maria Berrittella & Roberto Roson & Richard S.J. Tol, 2004. "A General Equilibrium Analysis of Climate Change Impacts on Tourism," Working Papers 2004.127, Fondazione Eni Enrico Mattei.
    5. Andrea Bigano & Alessandra Goria & Jacqueline Hamilton & Richard S.J. Tol, 2005. "The Effect of Climate Change and Extreme Weather Events on Tourism," Working Papers 2005.30, Fondazione Eni Enrico Mattei.
    6. Jacqueline M. Hamilton & David J. Maddison & Richard S.J. Tol, 2004. "The Effects Of Climate Change On International Tourism," Working Papers FNU-36, Research unit Sustainability and Global Change, Hamburg University, revised Jan 2004.
    7. Jacqueline M. Hamilton & Maten A. Lau, 2004. "The Role Of Climate Information In Tourist Destination Choice Decision-Making," Working Papers FNU-56, Research unit Sustainability and Global Change, Hamburg University, revised Nov 2004.
    8. Francisco J. Ledesma-Rodríguez & Manuel Navarro-Ibáñez & Jorge V. Pérez-Rodríguez, 2001. "Panel Data and Tourism: A Case Study of Tenerife," Tourism Economics, , vol. 7(1), pages 75-88, March.
    9. Chiesi, M. & Maselli, F. & Moriondo, M. & Fibbi, L. & Bindi, M. & Running, S.W., 2007. "Application of BIOME-BGC to simulate Mediterranean forest processes," Ecological Modelling, Elsevier, vol. 206(1), pages 179-190.
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    Cited by:

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    2. Onofri, Laura & Nunes, Paulo A.L.D., 2013. "Beach ‘lovers’ and ‘greens’: A worldwide empirical analysis of coastal tourism," Ecological Economics, Elsevier, vol. 88(C), pages 49-56.

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    More about this item

    Keywords

    Domestic Tourists; International Tourists; Municipalities; Maximum And Minimum Daily Temperature; Dynamic Model; Temperature Demand Elasticity; GMM;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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