Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 26, Pages: 1-8
Ki-Hong Choi1, Joohyun Jung2, Suyeol Ryu3, Su-Do Kim4 and Seong-Min Yoon1*
1 Department of Economics, Pusan National University, Busan, Republic of Korea; [email protected], [email protected]
2 Department of Tourism and Convention, Pusan National University, Busan, Republic of Korea; [email protected]
3 Department of Economics, Andong National University, Andong, Republic of Korea; [email protected]
4 Research Institute of Computer Sciences and Information Communication, Pusan National University, Busan, Republic of Korea; [email protected]
This study investigates the impact of Airbnb’s listing on the hotel revenue in Korea. We use the panel regression model for this purpose. First, it finds that Airbnb’s listing is not related to the hotel revenue. Even though the number of tourists is continuously increasing, most of them use hotels rather than Airbnb in Korea. Because the website of Airbnb has started from 2010 in Korea and has a low awareness, it has a less effect in Korea. The listing of Airbnb is rapidly growing in 2014. Given that the data of 2014 adds to the study, the result can be changed. Second, the estimate of the unemployment rate is strongly significant. If unemployment rate increases, the demand for hotel decreases. Because unemployment rate explains the present economic situation, the increase of the unemployment rate can imply a recession and the decrease of the trip can be followed. Third, the exchange rate has a positive effect on the hotel revenue, especially in Jeju. When the exchange rate is higher, the tourists from the abroad increase, and thus hotel revenue can increase. It implies that the tourists sensitively respond to the exchange rate. Forth, the estimates of the vacation dummy variable are strongly significant in Busan and Jeju. There is a ton of tourists in the holiday (especially summer) season, and thus it is common in the increase in the hotel revenue during this season.
Keywords: Airbnb, Class of Hotel, Hotel Revenue, Macroeconomic Variables
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