Tourism Forecasting and Marketing

Stay up to date with the most effective practices in tourism demand forecasting!

Tourism Forecasting and Marketing presents vital, up-to-date research on the latest practice and applications of tourism demand modeling and forecasting. The book addresses both econometric and time series approaches to forecasting, focusing on the concepts, model specification, data analysis, and methodologies used in day-to-day tourism planning. An international panel of practitioners and academics call on a diverse range of empirical research findings to discuss commonly used theoretical frameworks for forecasting and future directions tourism demand is likely to take.

Tourism Forecasting and Marketing presents research findings from the United States, the United Kingdom, Asia, and Australia that are invaluable for guiding government and private sector tourism investment and development decisions. The book addresses traditional versus modern forecasting techniques; evaluations of current and past forecasting methods; modeling and forecasting destination choice; and the impact of forecasting and marketing on tourism demand. Topics include:

• using time series models to forecast inbound tourism demand for China and Greece
• determining the economic factors that influence tourism demand in Hong Kong, Indonesia, and Malaysia
• examining domestic travel expenditures in South Korea
• developing a model to forecast ski tourism
• using the Palmore cohort analysis for tourism forecasting
• and much more!

Tourism Forecasting and Marketing is an important textbook for educators and students working in tourism policy planning and management, and tourism marketing. The book is equally effective as a reference for travel and tourism researchers, and for professionals dealing with tourism demand analysis and forecasting.

Kevin K. F. Wong, PhD, is Associate Professor of Tourism in the School of Hotel and Management, The Hong Kong Polytechnic Institute in Hong Kong, where he received the Outstanding Consultancy Award in 1998 for his contributions to the tourism industry. His scholarly publications include papers in the Journal of Travel & Tourism Research (Haworth), the Journal of Travel Research, Tourism Management, and the Journal of Hospitality and Tourism Research.,
Haiyan Song, PhD, is Reader in Economics in the School of Management, University of Surrey in England. He is co-author of Tourism Demand Modeling and Forecasting: Modern Econometric Approaches, and his work has appeared in numerous academic journals, including the Journal of Applied Econometrics, the International Journal of Forecasting, the Journal of Transportation Economics and Policy, and the Journal of Travel Research and Tourism Analysis.