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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Tourism Economicsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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An ARDL Bounds Test Approach to Modelling Tourist Expenditure in South Africa

Authors: Saayman, Andrea; Saayman, Melville;

An ARDL Bounds Test Approach to Modelling Tourist Expenditure in South Africa

Abstract

This research follows micro-economic theory, according to which demand for a product is influenced by price, substitute prices and income, to determine the sensitivity of inbound tourist expenditure in South Africa to changes in these variables. Tourist expenditure per person per day from different origins forms the dependent variable. Using quarterly time-series data from 2003 to 2010, this article models inbound tourist expenditure from key source markets for the country. Previous research based on arrivals finds that South Africa is a relatively price-insensitive destination. However, this research shows that this is not the case for all markets. It mostly confirms the income elasticity of South Africa as a destination.

Country
South Africa
Related Organizations
Keywords

South Africa, Tourism demand, price elasticity, competitiveness, income elasticity, bounds test

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Average
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