Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Modelling Tourism Demand in Japan Using Cointegration and Error correction Model Omorogbe Joseph Asemota1 Department of Economic Engineering, Kyushu University. Abstract This paper investigates uses the cointegration and error correction modeling technique to investigate the long-run and short-run relationship between visitors arrival in Japan from five major Western countries. The Augmented Dickey-Fuller (ADF) test is used to determine the order of integration of the series, while we employ the Engle-Granger cointegration procedure to test for the presence of long-run relationship. The results of the cointegration indicate that there is a long-run relationship between tourists’ arrivals and the causal variables. Both the short-run and long –run models indicate that GDP per capita in tourists’ origin country is the most significant factor influencing the inflow of visitors into Japan. The price elasticity and price of tourism in competing destinations are found to be significant is some cases. The long-run and error correction models clearly indicate that the U.S.A has the highest fidelity to tourism in Japan among the five Western countries considered. Policy recommendations were also made to decision-makers and planners involves in development of tourism in Japan. Keywords: Cointegration, Error correction model, Tourism demand, Unit roots. 1 Graduate School of Economics, Department of Economic Engineering, Kyushu University, 6-19-1 Hakozaki, Higashi-ku, Fukuoka, 812-8581, Japan. Email: [email protected] and [email protected]