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Impact of snow variability on the Swiss winter tourism sector: implications in an era of climate change

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  • Camille Gonseth

Abstract

With its numerous mountain regions and its well developed winter tourism infrastructures, Switzerland is a country whose tourism sector is known to be sensitive to snowpack variability. With climate change—which is predicted to have negative impacts on snow depths and duration—the need for accurately assessing the sensitivity of winter tourism consumption to changing snow conditions is reinforced. Taking advantage of newly available data on visitation rates at Swiss ski areas, we analyze the effect of snow conditions on skier visits using standard panel data regression techniques. We assume the magnitude of this effect to be conditional on the level of snowmaking investments. Higher snowmaking investments should lead to a lower sensitivity. Our results validate this hypothesis and also shed light on the competitive interactions between lower and higher lying ski areas located in the same tourism region. In fact, our results show that better snow conditions in the former reduces visitation rates in the latter. Eventually, we find that ski areas benefiting from sunny conditions tend to have, ceteris paribus, more skier visits. This suggests additional impacts if climate change were to modify sunshine duration in mountain regions. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Camille Gonseth, 2013. "Impact of snow variability on the Swiss winter tourism sector: implications in an era of climate change," Climatic Change, Springer, vol. 119(2), pages 307-320, July.
  • Handle: RePEc:spr:climat:v:119:y:2013:i:2:p:307-320
    DOI: 10.1007/s10584-013-0718-3
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    References listed on IDEAS

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    1. Jamie Sanderson & Sardar M. N. Islam, 2007. "Climate Change and Economic Development," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-59012-0.
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    Cited by:

    1. Falk, Martin & Vanat, Laurent, 2016. "Gains from investments in snowmaking facilities," Ecological Economics, Elsevier, vol. 130(C), pages 339-349.
    2. Falk, Martin & Hagsten, Eva, 2016. "Importance of early snowfall for Swedish ski resorts: Evidence based on monthly data," Tourism Management, Elsevier, vol. 53(C), pages 61-73.
    3. Aurélie Corne & Olga Goncalves & Nicolas Peypoch, 2020. "Evaluating the performance drivers of French ski resorts: A hierarchical approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 389-405, April.
    4. Martin Falk & Robert Steiger, 2020. "Size facilitates profitable ski lift operations," Tourism Economics, , vol. 26(7), pages 1197-1211, November.
    5. Weiying Cai & Hui Di & Xingpeng Liu, 2019. "Estimation of the Spatial Suitability of Winter Tourism Destinations Based on Copula Functions," IJERPH, MDPI, vol. 16(2), pages 1-18, January.
    6. Martin Falk & Xiang Lin, 2018. "The declining dependence of ski lift operators on natural snow conditions," Tourism Economics, , vol. 24(6), pages 662-676, September.
    7. Falk, Martin, 2017. "Gains from horizontal collaboration among ski areas," Tourism Management, Elsevier, vol. 60(C), pages 92-104.
    8. Martin Falk & Sigbjorn Landazuri Tveteraas, 2020. "Modelling the wider effects of ski lift investments," Empirical Economics, Springer, vol. 59(1), pages 259-274, July.
    9. Martin Falk & Eva Hagsten, 2019. "Climate zone crucial for efficiency of ski lift operators," Current Issues in Tourism, Taylor & Francis Journals, vol. 22(6), pages 664-681, April.
    10. Martin Falk & Eva Hagsten, 2017. "Climate change threats to one of the world’s largest cross-country skiing races," Climatic Change, Springer, vol. 143(1), pages 59-71, July.
    11. Martin Falk, 2015. "The Demand for Winter Sports: Empirical Evidence for the Largest French Ski-Lift Operator," Tourism Economics, , vol. 21(3), pages 561-580, June.
    12. Michał Żemła, 2021. "Winter Sports Resorts and Natural Environment—Systematic Literature Review Presenting Interactions between Them," Sustainability, MDPI, vol. 13(2), pages 1-17, January.
    13. Iveta Malasevska & Erik Haugom & Gudbrand Lien, 2017. "Modelling and forecasting alpine skier visits," Tourism Economics, , vol. 23(3), pages 669-679, May.
    14. Marius Mayer & O. Cenk Demiroglu & Oguzhan Ozcelebi, 2018. "Microclimatic Volatility and Elasticity of Glacier Skiing Demand," Sustainability, MDPI, vol. 10(10), pages 1-14, October.
    15. Robert Steiger & Eva Posch & Gottfried Tappeiner & Janette Walde, 2020. "Effects of climate change on tourism demand considering individual seasonal preferences," Working Papers 2020-08, Faculty of Economics and Statistics, University of Innsbruck.
    16. Martin Falk, 2015. "Returns to investments in new ski lifts: the importance of weather conditions and elevation," ERSA conference papers ersa15p1379, European Regional Science Association.
    17. Martin Falk & Robert Steiger, 2018. "An Exploration of the Debt Ratio of Ski Lift Operators," Sustainability, MDPI, vol. 10(9), pages 1-16, August.
    18. Troxler, Pascal, 2022. "Weather Forecasts and their Relation to Ski Demand," VfS Annual Conference 2022 (Basel): Big Data in Economics 264121, Verein für Socialpolitik / German Economic Association.
    19. Hannes Wallimann, 2022. "A complementary product of a nearby ski lift company," Tourism Economics, , vol. 28(2), pages 418-434, March.

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