Vatsa Puneet
Lincoln University, New Zealand.
Ann Tour Res. 2020 Jul;83:102965. doi: 10.1016/j.annals.2020.102965. Epub 2020 Jun 2.
Tourism research is replete with applications of univariate time-series decomposition techniques: multivariate frameworks have been largely ignored. In this paper, we employ a common-feature-based, multivariate trend-cycle decomposition approach to examine common trends and common cycles amongst the demand for New Zealand tourism originating in Australia, China, the US, the UK, as well as other tourism-importing countries considered as one group: Others. Upon isolating trends and cycles in tourism demand from these countries, we find evidence of strong long-term comovement: they share one common trend. We also find evidence of short-term comovement, albeit to a lesser extent: four common cycles emerge; the cyclical patterns in tourism demand from Australia, China, the US, and Others are strongly correlated.
多变量框架在很大程度上被忽视了。在本文中,我们采用基于共同特征的多变量趋势周期分解方法,来研究源自澳大利亚、中国、美国、英国以及被视为一个整体的其他旅游进口国(“其他国家”)的新西兰旅游需求之间的共同趋势和共同周期。在分离出这些国家旅游需求中的趋势和周期后,我们发现了强劲长期共同变动的证据:它们共享一个共同趋势。我们还发现了短期共同变动的证据,尽管程度较小:出现了四个共同周期;来自澳大利亚、中国、美国和其他国家的旅游需求的周期性模式高度相关。