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      Role of tourism price in attracting international tourists: The case of Japanese inbound tourism from South Korea

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          Abstract

          Tourism price has been extensively used to predict tourism demand. However, there is no agreement on the proper indicators of its components. Use of different price indicators may be the reason for researchers’ apparently inconsistent results. The purpose of this study was to identify proper price indicators for the demand model of Japanese inbound tourism from South Korea. After comparing six models, each with different price indicators, the model with relative price and exchange rate but without transport cost was identified as the best model in which relative price, exchange rate, and per capita income were found to be significant.

          Highlights

          • The effect of tourism price variables on inbound tourism demand is examined.

          • Exchange rates and relative prices separately lead to increase in tourist arrivals.

          • Both proxy variables for transport cost appear to have no influence on tourism.

          • Price competitiveness can contribute to stimulating international tourism demand.

          • Government policy should be developed considering its impact on tourism prices.

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          Most cited references57

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          Tourism demand modelling and forecasting—A review of recent research

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            Forecasting tourism demand: A review of empirical research

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              The impact of crisis events and macroeconomic activity on Taiwan's international inbound tourism demand

              The number of inbound tourism arrivals directly impacts the tourism industry and the government agency investments therein. Therefore, policymakers need to improve their understanding of how crisis events affect the demand for inbound tourism. From the first quarter of 1996 to the second quarter of 2006, Taiwan experienced four major disasters at approximately two-year intervals. These disasters included the Asian financial crisis in 1997, the 21st September 1999 earthquake, the 11th September 2001 attacks in the United States, and the outbreak of SARS in 2003. This paper examines the impact of crisis events on the demand for tourism in order to establish a better understanding of changes and trends in the demand for international tourism. This paper uses the auto-regression distributed lag model by Pesaran, Shin, and Smith [Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of long-run relationship. Journal of Applied Econometrics, 16, 289–326] to examine the negative impact of these disasters on the demand for inbound tourism. This paper also explores the influence of variables, such as foreign exchange rates, incomes, relative prices, and transportation costs, on the dynamics of the demand for inbound tourism. This paper finds that a long-term equilibrium exists among all variables, indicating that macroeconomic variables may be used to determine the rise or fall of the number of inbound tourism arrivals. Income and foreign exchange rates are both significant explanatory variables. In terms of incurred losses, the number of inbound tourism arrivals suffered the greatest decline during the outbreak of severe acute respiratory syndrome (SARS), followed by the 21st September 1999 earthquake and the 11th September 2001 attacks. The impact of the Asian financial crisis was relatively mild. This paper finds that any impact on safety, whether domestic or international, negatively affects tourism demand. The impact of financial crises on tourism demand is less significant. Ensuring the safety and health of tourists is the key to maintain demand for inbound tourism.
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                Author and article information

                Contributors
                Journal
                Journal of Destination Marketing & Management
                Elsevier Ltd.
                2212-571X
                2212-571X
                7 April 2016
                March 2017
                7 April 2016
                : 6
                : 1
                : 76-83
                Affiliations
                [a ]Apparel, Events and Hospitality Management, Iowa State University, Ames, IA, USA
                [b ]Department of Tourism, Kyung Hee University, 1 Hoegi-dong, Dongdaemun-gu, Seoul 130-70, South Korea
                Author notes
                Article
                S2212-571X(16)30006-3
                10.1016/j.jdmm.2016.03.002
                7185866
                0b4a5cbb-d4b4-41a9-9e4d-61de640a1382
                © 2016 Elsevier Ltd. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 25 November 2015
                : 7 February 2016
                : 13 March 2016
                Categories
                Article

                tourism demand,demand models,price variables,transport cost,japan

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