The Demand for Winter Sports: Empirical Evidence for the Largest French Ski-Lift Operator

Martin Falk

Tourism Economics, 2015, vol. 21, issue 3, 561-580

Abstract: This paper investigates the determinants of long-run winter tourism demand for French ski resorts. The data are based on skier visits to the largest ski-lift operator in the world (Compagnie des Alpes) for the winter seasons 1993/1994 to 2011/2012. Using dynamic panel data models for six ski resorts, the study finds relatively low income and price elasticities in absolute terms, with long-run elasticities of 0.64 and −0.40, respectively. Furthermore, the study finds that snow depth measured at the weather station Col de Porte — located at the medium elevation of 1,325 metres above sea level — is a significant predictor of skier days in the high-elevation ski areas. However, the magnitude of the effect of poor snow years is very small: on average, low-snow winter seasons (such as 1989/1990 or 2006/2007) will lead to a reduction in skier visits of about 2.5%. The results are not sensitive with respect to the measurement and timing of snow depth.

Keywords: winter tourism demand; weather; snow depth; skier visits; dynamic panel data methods; French Alps (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

Downloads: (external link)
https://journals.sagepub.com/doi/10.5367/te.2013.0366 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:toueco:v:21:y:2015:i:3:p:561-580

DOI: 10.5367/te.2013.0366

Access Statistics for this article

More articles in Tourism Economics
Bibliographic data for series maintained by SAGE Publications ().