Does having the right visitor mix do the job? Applying an econometric shift-share model to regional tourism developments
Matthias Firgo and
Oliver Fritz
The Annals of Regional Science, 2017, vol. 58, issue 3, No 4, 469-490
Abstract:
Abstract This paper is the first to apply an econometric shift-share model to tourism. The approach allows us to isolate the growth contributions of changes in regional touristic attractiveness from those induced by the structure of visitors, but does not share the caveats of the conventional shift-share approach. Our application to regional tourism in Austria reveals important results: First, differences in long-run performance between regions are mostly related to idiosyncratic changes in the tourist appeal of individual regions rather than a result of more or less favorable structures of visitors. Second, none of several mega-events during the period observed seem to have left prolonged positive effects on the tourist performance of the host regions. And third, performance appears uncorrelated with tourism intensity of a region. Thus, from a policy and destination management perspective, tourism authorities and local suppliers should mainly focus on upgrading the permanent destination attractiveness rather than investing too much effort into landing mega-events or targeting the visitor mix toward promising source markets.
JEL-codes: L83 M30 O14 O25 R58 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://link.springer.com/10.1007/s00168-016-0803-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:anresc:v:58:y:2017:i:3:d:10.1007_s00168-016-0803-4
Ordering information: This journal article can be ordered from
http://link.springer.com/journal/168
DOI: 10.1007/s00168-016-0803-4
Access Statistics for this article
The Annals of Regional Science is currently edited by Martin Andersson, E. Kim and Janet E. Kohlhase
More articles in The Annals of Regional Science from Springer, Western Regional Science Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().