Are Visitor Arrivals to China Stationary? An Empirical Note

Chu, Hsiao-Ping; Yeh, Ming-Liang; Chang, Tsangyao

doi:10.1080/10941665.2012.739188

Cited by 15 publications

(11 citation statements)

References 14 publications

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“…Specifically, we incorporate the Gross Domestic Product (GDP), total inbound expenditure over GDP, and the Human Development Index (HDI). On the other hand, since most tourism variables are nonstationary due to the steady growth in tourism (Chu et al, 2014), we use annual percentage growth rates of the variables to avoid the issues derived from working with non-stationary time series. Li et al (2013) note the importance of working with growth rates instead of levels.…”

Section: Introductionmentioning

confidence: 99%

Two-dimensional mapping of Asia Pacific destinations combining tourism and economic indicators

Clavería

2017

Asia Pacific Journal of Tourism Research

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The present study aims to cluster five Asia Pacific destinations (Cambodia, Hong Kong, Indonesia, the Philippines, and Singapore) with respect to other countries according to the evolution of the main tourism and economic indicators over the period between 2000 and 2014. By assigning a numerical value to each country corresponding to its position, we summarize all the information into two components ("tourism expenditure and profitability of tourism activity" and "tourism development and economic growth") using different multivariate techniques for dimensionality reduction. By means of perceptual maps, we find that the five Asia Pacific destinations can be clustered into three different groups: Hong Kong and Singapore, which are the most mature markets; Indonesia and the Philippines, with moderate growth rates in most variables; and Cambodia, with top positions in all variables, showing a huge potential in terms of growth and tourism development and the challenges derived therefrom.

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Section: Introductionmentioning

confidence: 99%

Two-dimensional mapping of Asia Pacific destinations combining tourism and economic indicators

Clavería

2017

Asia Pacific Journal of Tourism Research

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“…Narayan and Prasard (2008) consider the case of Australia. Chu, Chang, Chang, and Su (2008) examined the impact of external shocks on Taiwanese economy. Narayan (2005aNarayan ( , 2005bNarayan ( , 2005c considered the case of Fiji.…”

Section: Panel Lm Unit Root Test: Ilt Testmentioning

confidence: 99%

“…Smyth et al (2009) focused on Indonesia. Chew (2010) and Chu, Yeh, and Chang (2014) examined the imapct of exogenous shocks on tourist arrivals in Singapore and China, respectively. 2 Arab arrivals include visitors from Yemen, Kuwait, Qatar, Algeria, Bahrain, Oman, United Arabs Emirates (UAE), Tunisia, Egypt, Jordan, Morocco, Syria, Iraq, and Saudi Arabia.…”

Section: Panel Lm Unit Root Test: Ilt Testmentioning

confidence: 99%

Is Tourism in Lebanon Subject to Permanent or Transitory Exogenous Shocks?

Bassil¹,

Saleh²,

Anwar³

2014

Tourism Analysis

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direct as well as indirect channels. The direct channel involves consumer spending on tourism and travel, whereas the indirect channel involves investment spending on travel and tourism as well as growth in supporting industries. While worldwide tourism has registered strong growth over time, its trajectory has not always been smooth. For example, the September 11 terrorist attacks in the US resulted in a 17% fall in the number of

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“…We also use the average growth of the Human Development Index (HDI) so as to assess the potential effect on tourism of development beyond a strictly economic sense. By using annual percentage growth rates instead of levels, we avoid the issues derived from working with nonstationary time series, since most tourism variables are non-stationary due to the steady growth in tourism (Chu et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Positioning and clustering of the world’s top tourist destinations by means of dimensionality reduction techniques for categorical data

Clavería

Poluzzi

2017

Journal of Destination Marketing & Management

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The present study aims to cluster the world's top tourism destinations based on the growth of the main tourism indicators over the period between 2000 and 2010. We rank the destinations regarding the average growth rate over the sample period. We find that both China and Turkey are at the top of the rankings of all variables. By assigning a numerical value to each country corresponding to its position, we compute Spearman's coefficient and find a negative correlation between a destination's dependency on tourism and the profitability of the tourism activity. Finally, we use several multivariate techniques for dimensionality reduction in order to cluster all destinations according to their positioning. We obtain three groups: China on the one hand, Turkey on the other, and the rest of the destinations. These results show that the persistent growth of the tourism industry poses different challenges in different markets regarding destination marketing and management.

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Are Visitor Arrivals to China Stationary? An Empirical Note

Cited by 15 publications

References 14 publications

Two-dimensional mapping of Asia Pacific destinations combining tourism and economic indicators

Two-dimensional mapping of Asia Pacific destinations combining tourism and economic indicators

Is Tourism in Lebanon Subject to Permanent or Transitory Exogenous Shocks?

Positioning and clustering of the world’s top tourist destinations by means of dimensionality reduction techniques for categorical data

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