Forecasting international tourist flows to Macau

By Haiyan Song, Stephen F. Witt. 2006

291 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Tourism, Leisure and Hospitality Management

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Citations in the corpus

The Tourism Forecasting Competition (2011, background): “It is also popular in the tourism literature with unrestricted models and also models incorporating long-run restrictions (see, for example, Kulendran and King, 1997; Witt et al., 2003; Song and Witt, 2006; Bonham et al., 2009).”
Tourism demand modelling and forecasting—A review of recent research (2008, methodology): “The VAR model can be found in Shan and Wilson (2004), Song and Witt (2006), Witt et al (2004).”
Forecasting Accuracy Evaluation of Tourist Arrivals: Evidence from Parametric and Non-Parametric Techniques (2015, unknown): “Furthermore, accurate tourist arrival forecasts are important for policy makers as they can serve as a tool for policy decisions, which aim at boosting economic development, wellbeing and employment, particularly for tourism destination countries (Palmer et al., 2006; Song and Witt, 2006; Gounopoulo”
The long-run impact of exchange rate regimes on international tourism flows (2014, background): “…change in the exchange rate as well as various measures of exchange rate volatility to proxy exchange value risk or uncertainty (see, inter alia, Arbel & Ravid, 1985; Bond, Cohen, & Schachter, 1977; Martin & Witt, 1987, 1988; Quayson & Var, 1982; Song & Witt, 2006; Webber, 2001; Witt & Witt, 1995).”
Do Political Instability, Terrorism, and Corruption Have Deterring Effects on Tourism Development Even in the Presence of Unesco Heritage? A Cross-Country Panel Estimate (2013, background): “…literature suggests that political instability has adverse effects on tourism (e.g., Issa & Altinay, profitability, and hence, estimates of expected future demand constitute an important element in all planning of tourism activities particularly for perishable tourism products (Song & Witt, 2006).”
A meta-analysis of international tourism demand forecasting and implications for practice (2014, background): “The VAR models have been proven to be capable of producing accurate medium- to long-term tourism forecasts (Song & Witt, 2006).”
Tourism demand for Italy and the business cycle (2010, background): “In their extensive review, Li et al. (2005) count 23 studies targeted at comparing forecasts (see in particular Cho, 2003; Chu, 1998; Martin & Witt, 1989; Song & Witt, 2006; Witt, Song, & Louvieris, 2003 and references therein).”
A mobilities approach to tourism from emerging world regions (2015, background): “For example, in Asia, mainland Chinese tourists follow routes to Hong Kong (Huang & Hsu, 2005; Qu & Li, 1997), Macau (Song & Witt, 2006; Zhang & Heung, 2002) (which are under the People’s Republic of China’s sovereignty, but involve passing border controls), Singapore, Taiwan and some other…”
Combination of long term and short term forecasts, with application to tourism demand forecasting (2011, background): “Song and Witt (2004) considered vector autoregressive (VAR) modeling of inbound tourism to Macau, where the multivariate process contained the exploratory variables, and found that the VAR model produces superior results for medium-and long-term horizons.”
Forecasting hotel room demand using search engine data. (2012, methodology): “These two measures have been widely applied to evaluate the forecasting performance of tourism demand models (Song & Witt 2006; Vu & Turner 2006).”