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Abstract

This study identifies the major determinants of international inbound tourist expenditures in South Korea using regression models. Income, relative prices, exchange rates, promotional expenditures, and dummy variables are incorporated into the models for visitors from Japan, USA, Taiwan, Hong Kong, ...

Author(s)
Lee, C. K.
Citation
Journal of Travel & Tourism Marketing, 1996, 5, 1/2, pp 101-118
Abstract

A model was developed that explains international tourist flows from 9 countries (Australia, France, Germany, Japan, Malaysia, Singapore, Taiwan, the UK, and the USA) to Thailand to forecast tourism demand from that market. Multiple regression analysis was applied over time series data from...

Author(s)
Hao, J.; Var, T.; Chon, J.
Publisher
Cognizant Communication Corporation, Elmsford, USA
Citation
Tourism Analysis, 2003, 8, 1, pp 33-45
Abstract

Prior studies have not extensively researched and explored the key determinants (aviation and tourism attributes) that could affect Hong Kong's competitiveness as a transit hub for international visitors using Hong Kong as a stopover to Chinese cities when travelling by air. This study adds to that ...

Author(s)
Tsui KanWaiHong; Yuen ChiLok [Yuen, C. L. A. ]; Fung MichaelKaYiu
Publisher
Routledge, Abingdon, UK
Citation
Current Issues in Tourism, 2018, 21, 11, pp 1260-1284
Abstract

In 2003, the Severe Acute Respiratory Syndrome (SARS) ravaged many Asian countries. The outbreak of SARS caused a crisis in the tourism industry in many parts of Asia in that year. The purpose of this study is to examine and to compare the post-SARS recovery patterns of inbound arrivals from Japan, ...

Author(s)
Mao ChiKuo; Ding, C. G.; Lee HsiuYu
Publisher
Elsevier Ltd, Amsterdam, The Netherlands
Citation
Tourism Management, 2010, 31, 6, pp 855-861
Abstract

Forecasting accuracy is particularly important when forecasting tourism demand on account of the perishable nature of the product. This study compares a range of forecasting models in the context of predicting annual tourist flows into Hong Kong from the major long-haul markets of the US, the UK,...

Author(s)
Lee KoonNam
Publisher
Routledge, Taylor & Francis, London, UK
Citation
Applied Economics, 2011, 43, 4/6, pp 527-549
Abstract

The researchers undertook an empirical examination of the tourist images of Taiwan prior to and after visiting a Taiwanese tourist night market. A survey was distributed at Shilin Night Market and generated 230 responses from Japanese, 171 from US/Canadian, and 95 from Mandarin-speaking Chinese ...

Author(s)
Chang HsuanHsuan
Publisher
Cognizant Communication Corporation, Elmsford, USA
Citation
Tourism Culture & Communication, 2012, 11, 3, pp 183-199
Abstract

Various forecasting models can be adopted for predicting what types of tourism demand are vulnerable to wide fluctuations. This study employs the fuzzy grey model FGM (1,N) and back-propagation neural networks (BPNN) as the multivariate forecasting models. Various benchmark univariate forecasting...

Author(s)
Hsu LiChang; Wang ChaoHung
Publisher
Institute for Tourism, Zagreb, Croatia
Citation
Tourism (Zagreb), 2008, 56, 2, pp 159-172
Abstract

This study constructs composite leading indicators to predict turns in the growth cycle of hotel occupancy for hotels in Hong Kong with different tariffs, as well as for all hotels in Hong Kong. First, a composite leading indicator for each of the top five source markets - mainland China, Taiwan,...

Author(s)
Tang MeiFung [Tang, M. F. C. ]; Kulendran, N.
Publisher
IP Publishing Limited, London, UK
Citation
Tourism Economics, 2011, 17, 3, pp 549-563
Abstract

This study investigates whether experts' group-based judgmental adjustments to econometric forecasts of tourism demand improve the accuracy of the forecasts and whether the adjusted forecasts are unbiased. The Delphi method was used to aggregate experts' judgmental adjustments and a range of error...

Author(s)
Lin, V. S.; Goodwin, P.; Song HaiYan
Publisher
Elsevier Ltd, Oxford, UK
Citation
Annals of Tourism Research, 2014, 48, pp 156-174
AbstractFull Text

Author(s)
Huang, L.
Publisher
International Program in Hotel and Tourism Management, Siam University, Bangkok, Thailand
Citation
The Proceedings of 1st World Conference on Hospitality, Tourism and Event Research and International Convention and Expo Summit 2013, Bangkok, Thailand, 25th-28th May 2013, 2013, pp 605-606

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