Journal of Tourism & Hospitality
Open Access

Institute of Economics and International Trade, Pusan National University, Busan, Korea

Biography

Institute of Economics and International Trade, Pusan National University, Busan, Korea Tail dependence; Time-varying dependence; Copula method; Inbound tourism expert the copula function can show co-movement during extreme events.

Publications

• Mini Review   
  Dependence Structure between Tourist Arrivals of Inbound Tourism Markets in South Korea
  Author(s): Choi Ki-Hong*
  
  Tourism demand is severely affected by unpredicted events. The purpose of this study was to investigate if non-linear dependence structures exist between tourist flows into South Korea from five major source countries, as South Korea has undergone fluctuations in tourist arrivals due to diverse circumstances and has complex relations with tourism source countries. Additionally, the study examines the structures of extreme tail dependence, which is indicated in the case of unexpected events, and identifies how co-movements vary over time through dynamic copula-GARCH (Generalized Autoregressive Conditional Heteroskedasticity) tests. The copula estimations indicate significant dependencies among all market pairs as well as the strongest dependence between China and Taiwan. Moreover, extreme tail dependence structures show co-movements for four pairs of tourism market.. View More»
  DOI: 10.35248/2167-0269.21.s3.001

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