서울시 관광호텔 객실이용률 결정요인 분석

초록

This purpose of this paper is to analyzed the factors affecting tourist hotels room occupancy rate(OCC) by using empirical annual time-series dataset on Korea hotel association(KHA) from 1996 to 2018 in Seoul, which have the highest demand for tourist visits. Due to small sample size, both Autoregressive Distributed Lag(ARDL) model and Bound test is carried out as a quantitative method to empirically testify, based on EViews 7.0 Software. The main results of research are briefly summarized as follows; First, it was found that Foreign tourist, Lodging days has positive effects on the occupancy rate of Foreign tourist hotel(A-Model), While the number of Supply rooms, the ratio of Chinese tourists, and Average daily rate(ADR) has negative effects on ones with four quarters of time-lag. Second, the occupancy rate of Domestic tourist hotel(B-Model) directly proportional to GDP per capita, but room utilization of foreign and MERS Dummy inversely related with ones. Therefore, the determinants of hotels room occupancy rate for foreign tourist is quite distinct from locals, especially former model showed the existence of cointegration. In conclusion, the research indicates that change of new lodging market trends such as an increase in the ratio of chinese tourist, supply room, decrease in period of stay can also affect between the occupancy rate of domestic and foreign tourist hotel, by statistically demonstrating structural relationship with other significant variables.

키워드