A method for calculating the crowding-out effect in sport mega-event impact studies: The 2010 FIFA World Cup
Holger Preuss
Development Southern Africa, 2011, vol. 28, issue 3, 367-385
Abstract:
Tourist expenditures constituted the largest part of the economic impact of South Africa's 2010 FIFA Football World Cup. However, limited air transport capacity and increased accommodation prices may have led to crowding-out effects. Until now, crowding-out could only be considered by using econometric modelling based on data of inbound arrival or accommodation statistics. This paper suggests a methodology for measuring the crowding-out effect precisely. It is based on the available statistics in South Africa and is applicable at province level. An important innovation is to distinguish crowding-out from time-switching effects. The paper explains the theoretical framework of crowding-out as part of impact measurement, discusses the technical problem of assessing crowding-out, and supplies formulae for calculating this effect. Although this is a study of the 2010 FIFA World Cup 2010 specifically, the methodology described here is appropriate for calculating the impacts of other mega-events.
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://hdl.handle.net/10.1080/0376835X.2011.595995 (text/html)
Access to full text is restricted to subscribers.
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:taf:deveza:v:28:y:2011:i:3:p:367-385
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CDSA20
DOI: 10.1080/0376835X.2011.595995
Access Statistics for this article
Development Southern Africa is currently edited by Marie Kirsten
More articles in Development Southern Africa from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().