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dc.contributor.authorJiechen Tangen_US
dc.contributor.authorVicente Ramosen_US
dc.contributor.authorShuang Cangen_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.description.abstract© 2017 Informa UK Limited, trading as Taylor & Francis Group. This paper proposes new models for analyzing the volatility and dependence of monthly tourist arrivals to China applying a copula-GARCH approach. A desegregation of the top six origins of China inbound tourists from the period January 1994 to December 2013 is used in this study. The empirical results show that there is a strong seasonal effect in all cases and ​​​​​​ some habit persistence on monthly tourist arrival growth rate for South Korea, Russia, the United States (US), and Malaysia. Second, the volatilities of arrival growth rates to China are impacted significantly by their own short- and long-run effects, except for Russia and South Korea. Only short-run shock affects Russian arrivals while only long-run shocks are affecting South Korea arrivals. Third, the conditional dependence among different source countries is found to be positive and significant, but the conditional dependence for all considered pairs is low. Moreover, there is extreme co-movement (tail dependence) between the six major tourism source countries, suggesting the pairwise of international tourist arrivals shows a related increasing or decreasing pattern during extreme events. Implications are discussed and recommendations provided.en_US
dc.subjectBusiness, Management and Accountingen_US
dc.titleAn empirical study of inbound tourism demand in China: a copula-GARCH approachen_US
article.title.sourcetitleJournal of Travel and Tourism Marketingen_US
article.volume34en_US University of Science and Technologyen_US de les Illes Balearsen_US Universityen_US Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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