Determinants of Tourist Expenditure Patterns

Tourist expenditure patterns are shaped by a complex interplay of individual, contextual and macroeconomic factors. Socio-demographic characteristics such as age, income, group size and country of origin influence both total spend and allocation of budgets across accommodation, food, transport and activities. Trip-related variables – notably travel purpose, length of stay and mode of travel – further modulate expenditure shares by category. Destination attributes, including image, infrastructure quality and innovation in information and communication technologies, create enabling environments that alter spending propensities. Psychological and experiential dimensions such as satisfaction relative to expectations also exert a measurable effect on in-trip spending. Methodological advances span from principal component and cluster analyses to robust panel regression and distributional models, enabling researchers to disentangle the relative weight of determinants across diverse settings. The global significance of this field lies in its capacity to inform destination management, marketing strategies and policy interventions aimed at maximising economic benefits while ensuring sustainable development.

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Determinants of Tourist Expenditure Patterns publication trend

The graph below shows the total number of articles in determinants of tourist expenditure patterns across all publications each year (not limited to Nature Index journals).

Technical terms

Budget share: Proportion of total expenditure allocated to a particular category of spending.

Econometric modelling: Statistical methodology used to quantify relationships between variables and test hypotheses about determinants of spending.

Income elasticity: Measure of responsiveness of tourist expenditure to changes in disposable income.

Visitor satisfaction index: Composite indicator capturing tourists’ subjective evaluation of their experience relative to expectations.

References

1. Travel purpose and expenditure patterns in city tourism: evidence from the Amsterdam Metropolitan Area. Journal of Cultural Economics (2017).
2. The relationship between visitor satisfaction, expectation and spending in a sport event. Investigaciones Europeas de Dirección y Economía de la Empresa (2021).
3. Relations between infrastructure innovations and tourism spending in developed countries: a macroeconomic perspective. Technological and Economic Development of Economy (2021).