Factors Influencing Demand for International Tourism: Tourism Demand Analysis Using Structural Equation Modelling, Revisited

By L. Turner, Stephen F. Witt. 2001

175 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/2e34ca532e2f68dacce496efbc8fa52bd13f6238

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Sociology and Political Science

1. Haiyan Song
2. Gang Li
3. G. Crouch
4. Bo Peng
5. Stephen F. Witt
6. Robin Nunkoo
7. Haywantee Ramkissoon
8. N. Kulendran

In Tourism, Leisure and Hospitality Management

1. Haiyan Song
2. Gang Li
3. Stephen F. Witt
4. G. Crouch
5. Bo Peng
6. N. Kulendran
7. K. Chon
8. K.K.W. Wong

Citations in the corpus

• Recent Developments in Econometric Modeling and Forecasting (2005, result): “Compared with the tourism literature before 1990, recent studies pay more attention to tourism markets by travel purpose (for example, Morley 1998; Turner, Reisinger, and Witt 1998; Turner and Witt 2001a).”
• Forecasting the Demand for International Business Tourism (2003, background): “This supports the findings of Turner and Witt (2001).”
• Tourism and Trade: Cointegration and Granger Causality Tests (2005, background): “In fact, Turner and Witt (2001) found that contrary to a priori expectations, imports had a negative impact on leisure tourism demand.”
• Does tourism degrade environmental quality? A comparative study of Eastern and Western European Union (2017, background): “In the literature, it is argued that international trade can have positive impact on tourism as it allows cross-border inter- and intra-firm trade activities which increase business travel (Keintz, 1968; Turner and Witt, 2001).”
• Structural equation modelling and regression analysis in tourism research (2012, background): “Marketing Turner and Witt (2001) Tourism Economics Fuchs, Höpken, Föger, and Kunz (2010) Journal of Travel Research SEM modelling is used in an e- commerce context to determine the e-readiness of destination marketing organisations, the factors influencing success of marketing decision support…”
• Tourism demand modelling and forecasting—A review of recent research (2008, background): “…quantitative and qualitative forecasts Turner & Witt (2001a) Q New Zealand (I) SEM No SEM for disaggregated demand (by travel purposes) Turner & Witt (2001b) Q New Zealand (I) BSM STSM Naïve1 FC Univariate vs. multivariate structural time series forecasting Vanegas &…”
• Tourism Forecasting: The General-to-Specific Approach (2003, background): “Furthermore, although airfares may well be relevant in the explanation of leisure tourism demand, it has been demonstrated that they are unlikely to have a significant effect on business tourism demand (Turner and Witt 2001).”
• Bayesian models for tourism demand forecasting. (2006, methodology): “For example, González and Moral (1996) found that the basic structural model outperforms the ARIMA model, whereas Kulendran and King (1997), Turner and Witt (2001a, 2001b) discovered the converse to be true.”
• A Meta-Analysis of International Tourism Demand Elasticities (2013, background): “Transportation costs can account for a large proportion of tourism expenditure, and are often measured by the cost of air travel (Turner and Witt 2001), travel distance, and gasoline costs (Martin and Witt 1988).”