Next Article in Journal / Special Issue
Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests
Previous Article in Journal
Forecasting with Machine Learning Techniques
Article

COVID-19 and Tourism: Analyzing the Effects of COVID-19 Statistics and Media Coverage on Attitudes toward Tourism

Rosen College of Hospitality Management, University of Central Florida, Orlando, FL 32819, USA
*
Author to whom correspondence should be addressed.
Academic Editor: João Paulo Ramos Teixeira
Forecasting 2021, 3(4), 870-883; https://doi.org/10.3390/forecast3040053
Received: 7 October 2021 / Revised: 12 November 2021 / Accepted: 15 November 2021 / Published: 17 November 2021
(This article belongs to the Special Issue Tourism Forecasting: Time-Series Analysis of World and Regional Data)
COVID-19 has significantly influenced tourism, including tourists’ and residents’ attitudes toward tourism. At the same time, attitudes and consumer confidence are important for economic recovery in the tourism sector. This study explores the effects of the COVID-19 pandemic on people’s attitudes toward tourism by analyzing time-series data on the number of COVID-19 positive cases, vaccinations, news sentiment, a total number of daily mentions of tourism, and the share of voice for positive and negative sentiment toward tourism. The applied data analysis techniques include descriptive analysis, visual representation of data, data decomposition into trend and cycle components, unit root tests, Granger causality test, and multiple time series regression. The results demonstrate that the COVID-19 statistics and media coverage have significant effects on interest in tourism in general, as well as the positive and negative sentiment toward tourism. The results contribute to knowledge and practice by describing the effects of the disease statistics on attitudes toward tourism, introducing social media sentiment analysis as an opportunity to measure positive and negative sentiment toward tourism, and providing recommendations for government authorities, destination management organizations, and tourism providers. View Full-Text
Keywords: tourism; attitudes; COVID-19; sentiment analysis; time-series analysis tourism; attitudes; COVID-19; sentiment analysis; time-series analysis
Show Figures

Figure 1

MDPI and ACS Style

Godovykh, M.; Ridderstaat, J.; Baker, C.; Fyall, A. COVID-19 and Tourism: Analyzing the Effects of COVID-19 Statistics and Media Coverage on Attitudes toward Tourism. Forecasting 2021, 3, 870-883. https://doi.org/10.3390/forecast3040053

AMA Style

Godovykh M, Ridderstaat J, Baker C, Fyall A. COVID-19 and Tourism: Analyzing the Effects of COVID-19 Statistics and Media Coverage on Attitudes toward Tourism. Forecasting. 2021; 3(4):870-883. https://doi.org/10.3390/forecast3040053

Chicago/Turabian Style

Godovykh, Maksim, Jorge Ridderstaat, Carissa Baker, and Alan Fyall. 2021. "COVID-19 and Tourism: Analyzing the Effects of COVID-19 Statistics and Media Coverage on Attitudes toward Tourism" Forecasting 3, no. 4: 870-883. https://doi.org/10.3390/forecast3040053

Find Other Styles

Article Access Map by Country/Region

1
Back to TopTop