The impact of Covid-19 on travel sentiment – The evidence from China
Start dateJanuary 2020
Analysing unstructured big data to elicit sentiments has been widely used in tourism studies but little in the context of crises and uncertainty. The Covid-19 pandemic has severely impacted the tourism industry due to travel restrictions and high risks associated with mobility. The study aims to examine the causal relationship between travel sentiment and Covid-19 in China using difference-in-difference method and spatial econometrics to fully capture the impact of the pandemic on travel sentiment across provinces.
Findings show a strong causal relationship between travel sentiment and Covid-19 confirmed cases. Significant spillover effects of travel sentiment between neighbouring provinces were inferred, meaning that the change in travel sentiment in one province in response to Covid-19 affects the travel sentiment in neighbouring provinces.
Additional team members
- Dr. Wen Chang, Dongbei University of Finance and Accounting
- Dr. Yi Luo, Capital University of Economics and Business
Research groups and centres
We have a world-class reputation for our research in hospitality, tourism, transport and events.
SCHOOL OF HOSPITALITY AND TOURISM MANAGEMENT Covid-19 research CENTRE FOR DIGITAL TRANSFORMATION IN THE VISITOR ECONOMY