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Authors
Advisor(s)
Abstract(s)
Modelling tourism demand is essential when tourism policymakers plan tourism activities. The tourism industry is extremely susceptible to specific events’ effects, so good models must be found that reflect volatility. This study sought to review systematically the recent literature on this topic, specifically targeting models used to analyse tourism demand. The literature reveals some determinants of volatility in the tourism industry, such as income, gross domestic product and exchange rate, as well as crime, major events, big shocks, epidemics, weather conditions and the absence or existence of direct flights. Moreover, the review showed that modelling volatility is an emergent approach used in the analysis of tourism demand time series. This study’s results reveal pathways for the use of volatility models in tourism demand studies, which will allow managers and
decision makers to adapt policies to deal with the volatility associated with tourism.
Description
Keywords
Systematic review Tourism demand Forecasting Volatility Semantic analysis
Pedagogical Context
Citation
Mendes, A.S., Brochado, A., & Menezes, R. (2017). Is there volatility in tourism demand? Proceedings Book of the IX International Tourism Congress (ITC’17), 29-30 November 2017, Peniche, Portugal
Publisher
CITUR
