期刊
JOURNAL OF TRAVEL RESEARCH
卷 61, 期 4, 页码 818-836出版社
SAGE PUBLICATIONS INC
DOI: 10.1177/00472875211008250
关键词
tourism flows; migration; linguistic networks; common language index; multilingualism; gravity model
资金
- United Arab Emirates University under the Start Up grant [31B126]
Migration rates have a significant impact on international tourism flows, with a stronger effect when the destination country has a larger linguistic network. However, the impact of migration on tourism flows diminishes when there are closer linguistic ties between countries.
We investigate the effect of migration rates on international tourism flows and whether linguistic networks and common languages affect the relationship between migration rates and tourist flows. We utilize the gravity data set consisting of 166 origin and 30 destination countries, over the 1995-2010 period for the empirical analysis. The results show that increased migration rates lead to higher international tourism flows in destination countries. This effect becomes even stronger when the destination country has a larger linguistic network. Migration matters less, however, when a country-pair shares closer linguistic ties. The findings of this study will help to inform public, and tourism industry policies aimed at boosting sustainable tourism flows, especially post COVID-19 pandemic. Targeted immigration policies, such as those that seek to attract foreign workers with specific skill sets, tend to enlarge linguistic networks and contribute to multilingualism, which in turn can boost international tourism flows.
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