Publication: Risk Spillovers in Returns for Chinese and International Tourists to Taiwan
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2018
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Facultad de CC Económicas y Empresariales. Instituto Complutense de Análisis Económico (ICAE)
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Fluctuations in the numbers of visitors directly affect the rates of return on tourism business activities. Therefore, maintaining a firm grasp of the relationship between the changes in the numbers of Chinese tourists and international travellers visiting Taiwan is conducive to the formulation of an effective and practical tourism strategy. Although the topic of international visitors to Taiwan is important, existing research has discussed the issue of the travel demand between Chinese tourists and international travellers visiting Taiwan. This paper is the first to examine the spillover effects between the rate of change in the numbers of Chinese tourist arrivals and the rate of change in the numbers of international traveller arrivals. Using daily data for Chinese tourists and international travellers visiting Taiwan over the period from 1 January 2014 to 31 October 2016, together with the Diagonal BEKK model, the paper analyses the co-volatility spillover effects between the rate of change in the numbers of international travellers and the rate of change in the numbers of Chinese tourists visiting Taiwan. The empirical results show that there is no dependency relationship between the rate of change in the numbers of Chinese tourists and the rate of change in the numbers of international travellers visiting Taiwan. However, there is a significant negative co-volatility spillover effect between the rate of change in the numbers of Chinese tourists and the rate of change in the numbers of international travellers. The empirical findings suggest that Taiwan should abandon its development strategy of focusing only on a single market, namely China, and to be pro-active in encouraging visits by international travellers to Taiwan for sightseeing purposes, thereby increasing the willingness of international travellers to visit Taiwan. Moreover, with the reduction in the numbers of Chinese tour groups visiting Taiwan, and increases in the numbers of individual travellers, the Taiwan Government should change its previous travel policies of mainly attracting Chinese tour group travellers and actively promoting in-depth tourism among international tourists, by developing tourism that focuses on the special characteristics of different localities. In this way, the government can enhance the quality of Taiwan’s tourism, and also attract travellers with high spending power.
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Akar, C., 2012, “Modelling Turkish Tourism Demand and the Exchange Rate: The Bivariate GARCH Approach”, European Journal of Economics, Finance and Administrative Sciences, 50, 133-141.
Baba, Y., R.F. Engle, D. Kraft and K.F. Kroner, 1985, “Multivariate Simultaneous Generalized ARCH”, Unpublished paper, Department of Economics, University of California, San Diego, CA, USA.
Balli, F. and W.H.K. Tsui, 2016, “Tourism Demand Spillovers between Australia and New Zealand: Evidence from the Partner Countries”, Journal of Travel Research, 55(6), 804-812.
Balli, F., J. Curry, and H.O. Balli, 2015, “Inter-regional Spillover Effects in New Zealand International Tourism Demand,” Tourism Geographies, 17(2), 262-278.
Bollerslev, T., 1990, “Modelling the Coherence in Short-run Nominal Exchange Rate: A Multivariate Generalized ARCH Approach”, Review of Economics and Statistics, 72(3), 498-505.
Chan, F., C. Lim, and M. McAleer, 2005, “Modelling Multivariate International Tourism Demand and Volatility”, Tourism Management, 26(3), 459-471.
Chang, C.-L. and M. McAleer, 2017, “The Correct Regularity Condition and Interpretation of Asymmetry in EGARCH”, Economics Letters, 161, 52-55.
Chang C.-L. and M. McAleer, 2018, “The Fiction of Full BEKK: Pricing Fossil Fuels and Carbon Emissions”, to appear in Finance Research Letters.
Chang, C.-L., M. McAleer, and Y.A. Wang, 2018, “Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn Spot and Futures Prices”, Renewable and Sustainable Energy Reviews, 81(1), 1002-1018.
Chang, C.-L., T. Khamkaew, R. Tansuchat, and M. McAleer, 2011, “Interdependence of International Tourism Demand and Volatility in Leading ASEAN Destinations”, Tourism Economics, 17(3), 481-507.
Chang, C.-L., Y.-Y. Li, and M. McAleer, 2015, “Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice”, Tinbergen Institute Discussion Papers 15-077/III, Tinbergen Institute.
Engle, R.F. and K.F. Kroner, 1995, “Multivariate Simultaneous Generalized ARCH”, Econometric Theory, 11(1), 122-150.
Engle, R.F., 1982, “Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation”, Econometrica, 50(4), 987-1007.
Engle, R., 2002, “Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Hereoskedasticity Models”, Journal of Business and Economic Statistics, 20(3), 339-350.
Hoti, S., M. McAleer, and R. Shareef, 2007, “Modelling International Tourism and Country Risk Spillovers for Cyprus and Malta”, Tourism Management, 28(6), 1472-1484.
Ling, S. and M. McAleer, 2003, “Asymptotic Theory for a Vector ARMA-GARCH Model”, Econometric Theory, 19(2), 280-310.
McAleer, M., 2005, “Automated Inference and Learning in Modeling Financial Volatility”, Econometric Theory, 21(1), 232-261.
McAleer, M., 2014, “Asymmetry and Leverage in Conditional Volatility Models”, Econometrics, 2(3), 145-150.
McAleer, M., 2015, “The Fundamental Equation in Tourism Finance”, Journal of Risk and Financial Management, 8(4), 369-374.
McAleer, M., 2018, “Stationarity and Invertibility of a Dynamic Correlation Matrix”, to appear in Kybernetika.
McAleer, M., F. Chan, S. Hoti and O. Lieberman, 2008, “Generalized Autoregressive Conditional Correlation”, Econometric Theory, 24(6), 1554-1583.
McAleer, M. and Hafner, C. (2014), A One Line Derivation of EGARCH, Econometrics, 2(2), 92-97.
McAleer, M., S. Hoti, and F. Chan, 2009, “Structure and Asymptotic Theory for Multivariate Asymmetric Conditional Volatility”, Econometric Reviews, 28(5), 422-440.
National Immigration Agency of Taiwan, “Statistical Data”, Retrieved 11 December, 2017, from: http://www.immigration.gov.tw/mp.asp?mp=1. (in Chinese).
Seo, J. H., S. Y. Park, and L. Yu, 2009, “The Analysis of the Relationships of Korean Outbound Tourism Demand: Jeju Island and Three International Destinations”, Tourism Management, 30(4), 530-543.
Shareef, R. and M. McAleer, 2008, “Modelling International Tourism Demand and Uncertainty in Maldives and Seychelles: A Portfolio Approach”, Mathematics and Computers in Simulation, 78(2), 459-468.
Taiwan Tourism Bureau, 2017, “Statistic Data”, Retrieved 11 December, 2017, form http://admin.taiwan.net.tw/. (in Chinese).
Tsay, R.S., 1987, “Conditional Heteroscedastic Time Series Models”, Journal of the American Statistical Association, 82(398), 590-604.
UNWTO, 2017, “UNWTO Tourism Highlights, 2017 Edition”, Retrieved 11 December, 2017, from: https://www.e-unwto.org/doi/pdf/10.18111/9789284419029.
Valadkhani, A., R. Smyth, and B. O’Mahony, 2017, “Asymmetric Causality between Australian Inbound and Outbound Tourism Flows”, Applied Economics, 49(1), 33-50.
WEF, 2017, “Travel and Tourism Competitiveness Report”, Retrieved 11 December, 2017, from: http://www3.weforum.org/docs/WEF_TTCR_2017_web_0401.pdf.
WTTC, 2017, “Travel & Tourism Economic Impact 2016 Taiwan”, Retrieved 11 December, 2017, from: https://www.wttc.org/-/media/files/reports/economic-impact-research/countries2017/taiwan2017.pdf.
Yap, G.C.L., 2012, “An Examination of the Effects of Exchange Rates on Australia’s Inbound Tourism Growth: A Multivariate Conditional Volatility Approach”, International Journal of Business Studies, 20(1), 111-132.