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Is visitors’ expenditure at destination influenced by weather conditions?

Author

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  • José Francisco Baños-Pino
  • David Boto-García
  • Eduardo Del Valle
  • Emma Zapico

Abstract

Weather has been shown to affect consumption patterns by altering people’s moods. This paper examines the impact of atmospheric conditions on destination expenditure considering cruise passengers’ onshore expenditure as the case study. We exploit quasi-random variation in a set of hourly real-time weather indicators in a port of call, through the Tourism Climate Index (TCI) and the Physiologically Equivalent Temperature (PET), to draw inference about their effect on destination expenditure. Therefore, we capture the specific atmospheric conditions encountered by tourists, alleviating the usual aggregation bias in related studies. In particular, information about mean and maximum air temperature, wind speed, rainfall, sunshine duration and mean and minimum relative humidity is considered. We estimate a heteroskedastic Tobit model with an inverse hyperbolic sine transformation of the dependent variable that deals with problems of non-normality and extreme values. Controlling for several sociodemographic characteristics and cruise size, we find consistent evidence that pleasant weather (either using TCI or PET indexes) increases onshore expenditure. Our findings have important implications for destination management.

Suggested Citation

  • José Francisco Baños-Pino & David Boto-García & Eduardo Del Valle & Emma Zapico, 2023. "Is visitors’ expenditure at destination influenced by weather conditions?," Current Issues in Tourism, Taylor & Francis Journals, vol. 26(10), pages 1554-1572, May.
  • Handle: RePEc:taf:rcitxx:v:26:y:2023:i:10:p:1554-1572
    DOI: 10.1080/13683500.2022.2058468
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    Cited by:

    1. Yan Zhang & Jiekuan Zhang, 2024. "Examining the complex causal relationships between the digital economy and urban tourist destination competitiveness," Economic Change and Restructuring, Springer, vol. 57(4), pages 1-28, August.
    2. Brida Juan Gabriel & Moreno Leonardo & Scaglione Miriam, 2024. "Modeling multivariate tourism expenditure using vine copula: empirical findings from of Fribourg-Switzerland," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(5), pages 4093-4116, October.

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