2016
DOI: 10.1007/s10734-016-9985-z
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Transnational higher education and international student mobility: determinants and linkage

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Cited by 52 publications
(50 citation statements)
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“…Recent scholars also investigate other economic factors such as unemployment rate of home countries. Levatino () proposed that the mobility of international students is also connected with the lack of work opportunities in their hometown labor markets. Therefore, high unemployment rate of B&R countries would urge international students to study in China for higher education.…”
Section: Literature and Hypothesis Developmentmentioning
confidence: 99%
“…Recent scholars also investigate other economic factors such as unemployment rate of home countries. Levatino () proposed that the mobility of international students is also connected with the lack of work opportunities in their hometown labor markets. Therefore, high unemployment rate of B&R countries would urge international students to study in China for higher education.…”
Section: Literature and Hypothesis Developmentmentioning
confidence: 99%
“…Changes in Australian skilled immigration policies to offset the effects of brain drain (Burkhauser et al, 2016) along with its democratic traditions (Gribble and Blackmore, 2012;Ramburuth and McCormick, 2001; Shu and Hawthorne, 1996) resulted in an increasing number of international students studying in Australia (Levatino, 2017). A limited number of studies have also been undertaken in other countries.…”
Section: (I) International Student Pull and Push Factorsmentioning
confidence: 99%
“…Singapore until recently followed similar strategies to offset brain drain from the country (Ziguras and Gribble, 2015). Thus, study abroad could be a deliberate strategy for future immigration (Levatino, 2017). The stock of international students is positively related to subsequent migration either to the host country or a third country (Dreher and Poutvaara, 2005).…”
Section: (Ii) Stay Rates Of International Studentsmentioning
confidence: 99%
“…The effects of these variables can be controlled in the following regressions: lnfalse(PROGt+1false)=α0+α1ChAFTA+α2Xt+εt, lnfalse(ENROLtfalse)=β0+β1ChAFTA+β2Xt+ϵt,where PROG t and ENROL t indicate, respectively, the number of Australia–China joint programmes approved and the number of international student enrolments from China. Since the logarithm of zero is undefined, a very small value is added so that no observation is lost when the natural logarithm is taken (Levatino, ). ChAFTA is a dummy variable and indicates the China–Australia Free Trade Agreement.…”
Section: Impacts Of the Chafta On Australia's Education Service Exportsmentioning
confidence: 99%
“…For example, Xiang et al (2017) offered a prospective empirical analysis of the economic impacts of the ChAFTA on global coal output, trade, consumption and welfare from 2014. Levatino (2017) conducted a macro-level panel data analysis of international student enrolments in Australia's higher education, showing that the determinants of onshore enrolment are also related to offshore enrolment. Earlier work has been predominantly dedicated to studying the various factors which may affect student mobility globally or in other regions (e.g., Beine, Noël, & Ragot, 2014;Bessey, 2012;Kritz, 2016;Rosenzweig, Irwin, & Williamson, 2006).…”
mentioning
confidence: 99%