Impacts of the World Recession and Economic Crisis on Tourism: Forecasts and Potential Risks
By E. Smeral. 2010
230 citations recorded by the source corpus.
Subfields: Sociology and Political Science, Tourism, Leisure and Hospitality Management
View Paper: https://www.semanticscholar.org/paper/4c5fc72b0cb10db5f7829c49bd115a375435ac9a
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In Sociology and Political Science
In Tourism, Leisure and Hospitality Management
- D. Wu
- Haiyan Song
- G. Crouch
- Bo Peng
- Stephen F. Witt
- Shujie Shen
- J. A. Campos-Soria
- J. L. Eugenio-Martin
Citations in the corpus
- Tourism Development and Economic Growth in Seven Mediterranean Countries: A Panel Data Approach (2012, background): “The economists tend to rely on quantitative forecasts based on econometric modelling, which is often the most popular tool for projecting scenarios of tourism demand and tourism development (Turner and Witt, 2001; Witt et al, 2003; Wong et al, 2006; Song et al, 2009; Smeral, 2010).”
- Assessing the Impacts of the Global Economic Crisis and Swine Flu on Inbound Tourism Demand in the United Kingdom (2012, background): “Sheldon and Dwyer (2010), Smeral (2010), and Song and Lin (2010) evaluated tourism responses to the global financial crisis, and Yang and Chen (2009) investigated the implications for tourism of the severe acute respiratory syndrome (SARS) epidemic in Taiwan.”
- Crisis events in tourism: subjects of crisis in tourism (2010, unknown): “…(Akal, 2005; Okumus & Karamustafa, 2005; Stafford & Sarrasin, 2003) and the recession that affected most of the world from 2008 to 2010 (Barda & Sardianou, 2010; Harrison & Bland, 2009; Papatheodorou et al., 2010; Ritchie, Amaya Molinar, & Frechtling, 2010; Smeral, 2009, 2010; Song & Lin, 2010).”
- Global Economic Crisis and Tourism: Consequences and Perspectives (2010, background): “From an outbound perspective, Smeral (2010) estimates the fall in real tourism imports for Canada and the United States to be 1.2% and 14.7%, respectively, for 2009.”
- Economic crisis and tourism expenditure cutback decision (2014, background): “Destinations may anticipate the demand shift, so that prices are usually reduced to keep up with the number of arrivals, thus decreasing expenditure at the destination (Ritchie, Molinar, & Frechtling, 2010; Smeral, 2010).”
- New developments in tourism and hotel demand modeling and forecasting (2017, methodology): “Another two popular measures are tourist expenditure (e.g. Cortés-Jiménez and Blake, 2011; Smeral, 2010) and the number of nights stayed (e.g. Athanasopoulos and Hyndman, 2008; Baggio and Sainaghi, 2016).”
- Economic Recession, Job Vulnerability, and Tourism Decision Making: A Qualitative Comparative Analysis (2017, unknown): “…and they have also suffered from savings insecurity partly related to the depreciation of share values in the stock exchange markets (Ferguson, 2014; Ifanti, Argyriou, Kalofonou, and Kalofonos, 2013; Murphy and Scott, 2014; Ritchie, Molinar, and Frechtling, 2010; Smeral, 2010; Song and Lin, 2010).”
- Testing the efficacy of the economic policy uncertainty index on tourism demand in USMCA: Theory and evidence (2020, background): “For instance, Smeral (2009) in his seminal piece applied the general autoregressive distributed lag model (ARDL) for Australia, Canada, United States, Japan, and the EU-15 countries and found negative impacts of 2008 global economic crisis on outbound tourism demand for these countries.”
- Tourism and the economic crisis in Kavala, Greece (2014, background): “All rights reserved. iversity of the Negev, Eilat Campus, 162 Hatmarim Blvd, Eilat 88000, Israel. lidis), terzidou@bgu.ac.il (M. Terzidou). demand worldwide (e.g. Papatheodorou et al., 2010; Ritchie, Molinar, & Frechtling, 2010; Sheldon & Dwyer, 2010; Smeral, 2010).”
- A Meta-Analysis of International Tourism Demand Elasticities (2013, background): “…levels of income distribution and inequality (Morley 1998); one-off events such as acts of terrorism or infectious disease scares (Song and Lin 2010; Smeral 2010); and the lagged effects of both explanatory variables as well as the dependent variable itself, which can be an indicator of the…”