2011
DOI: 10.1016/j.matcom.2010.05.005
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Investigating other leading indicators influencing Australian domestic tourism demand

Abstract: In the tourism demand literature, much of the research focuses on income and price variables as demand determinants for travel. Nevertheless, the literature has neglected other possible indicators such as consumers' perceptions of the future course of the economy, household debt and the number of hours worked in paid jobs. In fact, several studies found that these indicators could influence consumers in making decisions to travel. In this paper, we examine whether there are other indicators that can influence … Show more

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Cited by 46 publications
(33 citation statements)
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“…Indeed, they find this index to be an effective short-term predictor for the US domestic travel volume. Later studies report similar findings when using household debt as a proxy for consumer confidence in relation to Australian domestic tourism demand (Athanasopoulos & Hyndman, 2008;Yap & Allen, 2011).…”
Section: Consumer Sentiment and Tourism Demandmentioning
confidence: 62%
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“…Indeed, they find this index to be an effective short-term predictor for the US domestic travel volume. Later studies report similar findings when using household debt as a proxy for consumer confidence in relation to Australian domestic tourism demand (Athanasopoulos & Hyndman, 2008;Yap & Allen, 2011).…”
Section: Consumer Sentiment and Tourism Demandmentioning
confidence: 62%
“…By contrast, there is little empirical work on how variables that move beyond the macroeconomic sphere, such as people's mood and sentiment, might impact on their propensity to consume tourism products (Yap & Allen, 2011). The role of mood and sentiment in individuals' spending behavior has been widely examined in the economics and psychology literature (Nofsinger, 2005;Weber & Johnson, 2009) and is acknowledged as an important determinant of many economic aspects, ranging from consumer expenditure (Carroll, Fuhrer, & Wilcox, 1994;Ludvigson, 2004) to stock market returns (Baker & Wurgler, 2006).…”
Section: Introductionmentioning
confidence: 99%
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