Metadata about: Abstract This paper investigates the determinants of the relationship among Korean outbound tourism demand for Jeju Island and three other Asian island countries using the multivariate generalized autoregressive conditional heteroskedasticity (MGARCH) and Vector Error Correction (VEC) models. It is found that pairwise conditional correlations among tourism demand for Jeju, Thailand, Singapore and the Philippines are not constant but time-varying. Estimated conditional correlations among Jeju and the three Asian countries are negative over some time periods. This implies that the three Asian countries are substitutes for Jeju in certain specific time horizons. The VEC model is used to investigate the short-run and long-run dynamic relationships and the results reveal that Industrial Production Index and real exchange rates had the positive or negative impact on conditional correlations of tourism demand for these destinations. Tourism policy implications are discussed for managing tourism demand for these destinations.

About: Abstract This paper investigates the determinants of the relationship among Korean outbound tourism demand for Jeju Island and three other Asian island countries using the multivariate generalized autoregressive conditional heteroskedasticity (MGARCH) and Vector Error Correction (VEC) models. It is found that pairwise conditional correlations among tourism demand for Jeju, Thailand, Singapore and the Philippines are not constant but time-varying. Estimated conditional correlations among Jeju and the three Asian countries are negative over some time periods. This implies that the three Asian countries are substitutes for Jeju in certain specific time horizons. The VEC model is used to investigate the short-run and long-run dynamic relationships and the results reveal that Industrial Production Index and real exchange rates had the positive or negative impact on conditional correlations of tourism demand for these destinations. Tourism policy implications are discussed for managing tourism demand for these destinations.

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