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Domestic tourism demand in the North and the South of Europe in the Covid-19 summer of 2020

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  • Martin Thomas Falk

    (University of South-Eastern Norway)

  • Eva Hagsten

    (University of South-Eastern Norway)

  • Xiang Lin

    (Södertörn University)

Abstract

This study investigates empirically changes in domestic summer tourism demand following the Covid-19 pandemic in 305 regions across six European countries (Denmark, Finland, France, Italy, Spain and Sweden) based on official data. Five different groups of NUTS 3 regions are identified in accordance with a typology suggested by the OECD where density and connectivity are aspects of importance. Dynamic panel data estimations show that large metropolitan regions experience strong decreases in demand (approximately 30 per cent) both in July and August 2020. There are, however, clear differences between the Northern and Southern European countries. In the North, the remote regions encounter an increased demand that is partially offsetting losses in the large metropolitan regions. This pattern cannot be found in the South. The decline in domestic tourism flows to the major metropolitan areas is also more pronounced in the South of Europe, approximately 50 per cent per summer month compared with 20 per cent (July 2020) and stagnation (August 2020) in the North regions.

Suggested Citation

  • Martin Thomas Falk & Eva Hagsten & Xiang Lin, 2022. "Domestic tourism demand in the North and the South of Europe in the Covid-19 summer of 2020," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 537-553, October.
  • Handle: RePEc:spr:anresc:v:69:y:2022:i:2:d:10.1007_s00168-022-01147-5
    DOI: 10.1007/s00168-022-01147-5
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    2. A.C. Pinate & A. Faggian & M.G. Brandano, 2023. "The impact of COVID-19 on the tourism sector in Italy: a regional spatial perspective," Working Paper CRENoS 202309, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    3. Borowiecki, Karol Jan & Pedersen, Maja U. & Mitchell, Sara Beth, 2023. "Using big data to measure cultural tourism in Europe with unprecedented precision," Discussion Papers on Economics 5/2023, University of Southern Denmark, Department of Economics.

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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • Z3 - Other Special Topics - - Tourism Economics

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