2017
DOI: 10.1016/j.tourman.2017.01.008
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An empirical analysis of the influence of macroeconomic determinants on World tourism demand

Abstract: This paper considers three econometric models to determine the relationship between macroeconomic variables and tourism demand. Tourism demand is measured by the inbound visitor's population and also by on-the-ground expenditures. Macroeconomic determinants include the exchange rate, the relative domestic prices, and the World GDP per capita. The database is an unbalanced panel of 218 countries over the period 1995-2012. There is evidence that an increase in the World's GDP per capita, a depreciation of the na… Show more

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Cited by 189 publications
(164 citation statements)
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“…The globalization of economic relations and its impact on tourism has become a new direction in demand research [15]. The demand for tourism at one destination, as a rule, depends on the demand for alternative destinations, not only because of geographical proximity and cultural similarities, but also because of the similarity of economic factors that determine the destination.…”
Section: Review Of Literature and Research Methodsmentioning
confidence: 99%
“…The globalization of economic relations and its impact on tourism has become a new direction in demand research [15]. The demand for tourism at one destination, as a rule, depends on the demand for alternative destinations, not only because of geographical proximity and cultural similarities, but also because of the similarity of economic factors that determine the destination.…”
Section: Review Of Literature and Research Methodsmentioning
confidence: 99%
“…To carry on the research, a qualitative-quantitative approach has been used. The research method was firstly supported by the existent literature on the topic (Mok,1985;Martins et al, 2017;Huang & Chen, 2015; economy and tourism forums and blogs; China National Tourism Administration; Eurostat; UNWTO). Figures on Guangzhou Fair have been mainly supplied by ICE 1 bureau in Guangzhou.…”
Section: Methodology and Materialsmentioning
confidence: 99%
“…For an exhaustive description of the econometric features of SVAR see, for example, Amisano and Giannini (). Their applications are not new in the tourism literature, even if they are more often related to demand forecasting (see, among the most recent, Martins, Gan, & Ferreira‐Lopes, ; Liu, Tseng, & Tseng, ) than to price modelling. Among the valuable exceptions are Bergantino, Capozza, and Capurso (), who consider a panel‐VAR model to describe price dynamics and competition in the Italian airline and railway markets, using the advance booking as the temporal dimension, the arrival dates as the cross‐sectional dimension, and the different companies as the multivariate dimension of the price‐time series.…”
Section: Review Of the Literaturementioning
confidence: 99%