2020
DOI: 10.1016/j.annals.2020.102965
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Comovement amongst the demand for New Zealand tourism

Abstract: 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 … Show more

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Cited by 10 publications
(9 citation statements)
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“…In terms of networking and coopetition more specifically, firms (from around the world) with aspects of their business models associated with tourism and hospitality frequently collaborate (Crick et al , 2018; Czakon and Czernek, 2016; Czernek et al , 2017); not least, to promote their regional clusters, with the objective being to attract new and returning visitors. In the context of this current study, New Zealand is one of the more popular tourism and hospitality destinations in the world, with its positive reputation for supplying these offerings (Vasta, 2020). The key informants were the owner-managers of these businesses, having authority in decision-making needed to engage in coopetition and assess performance outcomes (see Crick and Crick, 2020); also, an entrepreneurial marketing orientation often being fostered by these individuals (Sadiku-Dushi et al , 2019).…”
Section: Methodsmentioning
confidence: 99%
“…In terms of networking and coopetition more specifically, firms (from around the world) with aspects of their business models associated with tourism and hospitality frequently collaborate (Crick et al , 2018; Czakon and Czernek, 2016; Czernek et al , 2017); not least, to promote their regional clusters, with the objective being to attract new and returning visitors. In the context of this current study, New Zealand is one of the more popular tourism and hospitality destinations in the world, with its positive reputation for supplying these offerings (Vasta, 2020). The key informants were the owner-managers of these businesses, having authority in decision-making needed to engage in coopetition and assess performance outcomes (see Crick and Crick, 2020); also, an entrepreneurial marketing orientation often being fostered by these individuals (Sadiku-Dushi et al , 2019).…”
Section: Methodsmentioning
confidence: 99%
“…Individual stories can have a beneficial impact on potential tourists, while some may exert a negative impact. It is conceivable that tourism demand may fluctuate in response to the latest news regarding the fluctuation of a target country's currencies or the occurrence of regional and global economic problems (Khalid et al 2020;Schiff and Becken 2011;Tang and Tan 2016;Turner and Witt 2001;Vatsa 2020), political instability (Fletcher and Morakabati 2008), terrorism (Bhattarai et al 2005), disease (Huan et al 2004), natural disasters (Rosselló et al 2020;Tsai and Chen 2011), oil prices (Becken and Lennox 2012), seasonality and other specific calendar-related holidays or events (Lim et al 2008).…”
Section: News Shocks In Tourism Demand Volatilitymentioning
confidence: 99%
“…Meanwhile, some studies concisely assess demand projections for international tourism (Gunter and Önder 2016;Jiang et al 2020;Liu 2012;Qiu et al 2021;Song et al 2019;Wan and Song 2018). Amongst them, previous research has concentrated on forecasting global tourist demand utilising factors including currency fluctuations, gross domestic product (GDP) in the original country, consumer price index (CPI), income, and population size inability to forecast tourism demand in the international travel market (Hiemstra and Wong 2002;Santos and Cincera 2018;Schiff and Becken 2011;Stavárek 2007;Tang and Tan 2016;Turner and Witt 2001;Vatsa 2020), rather than the symmetric and asymmetric effects from these variables. Existing research studies of models forecasting international tourism demand, for instance, have indirectly accounted for the effect of volatile exchange rate fluctuations by converting the price factor within the tourist destination into the currency of the visitor country or by including a completely different factor in the international tourism demand function to account for the effect of volatile exchange rate fluctuations (Chang and McAleer 2012;Chi 2015;Croes and Sr 2005;Demir 2004;Falk 2015;Lim and Zhu 2017;Vita and Kyaw 2013;Yalcin et al 2021).…”
Section: Introductionmentioning
confidence: 99%
“…To be sure, other methodological frameworks such as spectral decomposition (Coshall, 2000; Lyu et al, 2016), wavelet decomposition (Cao et al, 2016; Wu & Wu, 2019), latent cycle component (Guizzardi & Mazzocchi, 2010), and ensemble empirical mode decomposition (Zhang et al, 2017; Li and Law, 2019) have been used to isolate and study cyclical patterns in individual tourism demand time series. Furthermore, Vatsa (2020) isolates trends and cycles in tourism demand using a multivariate decomposition method developed by Vahid and Engle (1993); Narayan (2011) uses the same method to study the importance of transitory and permanent shocks to the real GDP and tourism demand in AU.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Nevertheless, few studies have examined the linkages between the demand for its tourism and global macroeconomics. For example, Becken (2008) and Becken and Lennox (2012) analyze linkages between global oil prices and tourism exports, Schiff and Becken (2011) investigate price and income elasticities of demand for NZ tourism for 16 international visitor segments from AU, CH, the US, the UK, GE, and the rest of the world, Tsui et al (2018) study the impact of economic policy uncertainty on variations in inbound business tourism, and Vatsa (2020) investigates long‐term trends and short‐term cycles amongst the demand for NZ tourism originating in AU, CH, the US, and the UK. Nonetheless, none of the above papers examines the impact of business cycles on tourism demand.…”
Section: Literature Reviewmentioning
confidence: 99%