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Cross country relations in European tourist arrivals.

Silva, E.S., Ghodsi, Z., Ghodsi, M., Heravi, S. and Hassani, H., 2017. Cross country relations in European tourist arrivals. Annals of tourism research, 63 (March), 151-168.

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DOI: 10.1016/j.annals.2017.01.012


This paper introduces an optimized Multivariate Singular Spectrum Analysis (MSS) algorithm for identifying leading indicators. Exploiting European tourist arrivals data, we analyse cross country relations for European tourism demand. Cross country relations have the potential to aid in planning and resource allocations for future tourism demand by taking into consideration the variation in tourist arrivals across other countries in Europe. Our findings indicate with statistically significant evidence that there exists cross country relations between European tourist arrivals which can help in improving the predictive accuracy of tourism demand. We also find that MSSA has the capability of not only identifying leading indicators, but also forecasting tourism demand with far better accuracy in comparison to its univariate counterpart, Singular Spectrum Analysis.

Item Type:Article
Group:Bournemouth University Business School
ID Code:29716
Deposited By: Symplectic RT2
Deposited On:19 Sep 2017 11:56
Last Modified:14 Mar 2022 14:07


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