The declining dependence of ski lift operators on natural snow conditions

Martin Falk and Xiang Lin
Additional contact information
Xiang Lin: Södertörn University, Sweden

Tourism Economics, 2018, vol. 24, issue 6, 662-676

Abstract: This study tests for a structural shift in the relationship between revenues of ski lift operators and natural snow conditions. The analysis is based on time series data for the Swedish ski lift industry spanning from 1980 to 2017. Since 1970, snow depth in winter sport destinations has decreased markedly by about 5 cm per decade. Estimations based on the autoregressive distributed lag (ARDL) model show that revenues (in constant prices) of ski lift operators are significantly positively related to natural snow conditions, given the impact of relative prices and real GDP. However, ARDL estimations with rolling windows reveal that the sensitivity of revenues from ski lift ticket sales to variations in snow depth is declining over time. For the subsamples starting at the end of 1980s onward, revenues no longer significantly depend on natural snow depth. This is likely due to the implementation of adaptation measures such as investments in snowmaking facilities.

Keywords: autoregressive distributed lag (ARDL) model; climate change; skiing demand; snow depth; structural shift; Sweden; winter tourism (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1354816618768321 (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:24:y:2018:i:6:p:662-676

DOI: 10.1177/1354816618768321

Access Statistics for this article

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