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The weather and macroeconomic determinants of whale-watching tourism: a Markov regime-switching analysis

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  • Chiang-Ming Chen
  • Yo-Long Lin

Abstract

Taking in sail is essential for a whale-watching excursion, which makes the demand for whale-watching tourism sensitive to the weather. The purpose of this paper is to examine the implications of two potential demand-side determinants, that is, weather and macroeconomic conditions, on the business cycle of Taiwan’s whale-watching tourism industry. By exploiting a Markov regime-switching model, this study finds that temperature and relative price changes are crucial determinants of the demand for whale-watching tourism, no matter whether in the peaks or in the troughs. Nevertheless, the influences of sunshine hours, rainfall and real GDP per capita on the demand for whale-watching tourism depend heavily on the phases of business cycle. The empirical results provide some inspiration for sustainable management of Taiwan’s whale-watching tourism.

Suggested Citation

  • Chiang-Ming Chen & Yo-Long Lin, 2019. "The weather and macroeconomic determinants of whale-watching tourism: a Markov regime-switching analysis," Current Issues in Tourism, Taylor & Francis Journals, vol. 22(4), pages 476-485, February.
    • Handle: RePEc:taf:rcitxx:v:22:y:2019:i:4:p:476-485
    DOI: 10.1080/13683500.2017.1293620
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