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Importance of land characteristics for resilience of domestic tourism demand
University of South-Eastern Norway, Bø, Norway.ORCID iD: 0000-0003-0518-6513
University of South-Eastern Norway, Bø, Norway.ORCID iD: 0000-0001-7091-1449
Södertörn University, School of Social Sciences, Economics.ORCID iD: 0000-0003-3747-9038
2024 (English)In: Tourism Recreation Resarch, ISSN 0250-8281, E-ISSN 2320-0308, Vol. 49, no 5, p. 938-949Article in journal (Refereed) Published
Abstract [en]

This study investigates empirically if land characteristics (especially forests and mountains) are of importance for the local ability to withstand the shock of the Covid-19 on domestic tourism demand during the summer of 2020. A second step of the analysis focuses on the recovery stage in the subsequent summer. Three tourism indicators are considered: arrivals, overnight stays and length of stay. Official data on land use characteristics of 2029 villages in the Federal state of Bavaria (South Germany) are employed for the analysis. Estimations using the Spatial Durbin model combined with the Heckman selection model reveal that there is a significant relationship between the proportion of forest within as well as surrounding the village and the demand for domestic tourism compared with the 2019 baseline. There is also a significant relationship with the altitude of the surrounding areas. The importance of mountains and forests is present in both the initial year of the pandemic and in the recovery year of 2021, although the magnitude is lower in the summer of 2021. Direct and spatial effects can also be found for lakes and rivers on overnight stays and length of stay.

Place, publisher, year, edition, pages
Routledge, 2024. Vol. 49, no 5, p. 938-949
Keywords [en]
Domestic tourism, land use, forestsvillages, spatial econometric models, Heckman selection model
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:sh:diva-50007DOI: 10.1080/02508281.2022.2116541ISI: 000854253300001Scopus ID: 2-s2.0-85138411064OAI: oai:DiVA.org:sh-50007DiVA, id: diva2:1700632
Available from: 2022-10-03 Created: 2022-10-03 Last updated: 2024-09-17Bibliographically approved

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Hagsten, EvaLin, Xiang

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • harvard-anglia-ruskin-university
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  • sodertorns-hogskola-harvard.csl
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  • Other style
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  • de-DE
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  • en-US
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