Sustainability · 2022 · 26 citations · 20 references
ManagementEconomicsTourism ManagementEconometricsForecastingTourismEconomic ForecastingTime Series EconometricsTourism DevelopmentTourism EconomicsTourism ImpactsTourism PolicyArima ModelsEconomic Impact Of TourismInbound TourismLife Expectancy ForecastingProxy IndicatorsTourism Economic Impact AssessmentTourism ForecastingTourism Supply Analysis
The aim of the present research is to assess the impact of factors such as welfare, infrastructure, security, and the environment on inbound tourism as well as to develop its forecast. Six proxy indicators of the above-mentioned factors were selected as variables, namely, welfare (real GDP per capita, life expectancy, consumer price index), infrastructure (passenger transportation volume), security (total recorded crimes), and the environment (CO2 emissions). We used a time series-univariate ARIMA model to forecast the inbound tourism in the Republic of Uzbekistan, and applied the ARDL model to assess the impact of lagged real GDP per capita on inbound tourism in both the short and long terms. The results of our research show that security and welfare significantly affect the inflow of foreign tourists in the country, along with the impact of the COVID-19 pandemic crisis, the effects of which are expected to persist beyond 2026.
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Tourism demand modelling and forecasting—A review of recent research
Haiyan Song, Gang Li · Tourism Management · 2007 · 1.4K citations
SVR with hybrid chaotic genetic algorithms for tourism demand forecasting
Wei‐Chiang Hong, Yucheng Dong, Li-Yueh Chen et al. · Applied Soft Computing · 2010 · 263 citations