The impact of international migrants' preference network characteristics on tourism: based on complex network model and panel regression model.

In this paper, we analyse the impact of immigrant preference status on tourism for a global sample from 1990 to 2019, every 5 years. We construct an international migration preference network and calculate some corresponding structural parameters. Then, the paper compares the impact of ordinary immigration relations and important immigration relations on tourism. We obtain the following results: (1) Countries are exchanging increasingly closely through migration, and the immigrant preference network extracts the backbone structure of the network. (2) In the migration network, when a country has more immigration and emigration, it will promote the development of its inbound tourism. (3) In the migration preference network, in addition to the impact of the number of immigrants on tourism, we find that countries with stronger immigration controls are more likely to attract tourists, as are countries in a tight immigrant community. As a result, we find important immigration relationship can reveal some problems generally immigrants can't reflect. [ABSTRACT FROM AUTHOR]