TY - JOUR
T1 - The Effect of Migration on International Tourism Flows
T2 - The Role of Linguistic Networks and Common Languages
AU - Okafor, Luke Emeka
AU - Khalid, Usman
AU - Burzynska, Katarzyna
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study is supported by United Arab Emirates University under the Start Up grant (no. 31B126).
Publisher Copyright:
© The Author(s) 2021.
PY - 2022/4
Y1 - 2022/4
N2 - 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.
AB - 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.
KW - common language index
KW - gravity model
KW - linguistic networks
KW - migration
KW - multilingualism
KW - tourism flows
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U2 - 10.1177/00472875211008250
DO - 10.1177/00472875211008250
M3 - Article
AN - SCOPUS:85105708958
SN - 0047-2875
VL - 61
SP - 818
EP - 836
JO - Journal of Travel Research
JF - Journal of Travel Research
IS - 4
ER -