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020			_a9780789020864 _qhbk.: alk. paper
020			_a0789020866 _qhbk.: alk. paper
020			_a0789020874 _qpbk.: alk. paper
041			_aeng
082			_a338.4791 _bTOU
245			_aTourism forecasting and marketing / _cedited by Kevin K. F. Wong and Haiyan Song
250			_aSpecial Indian ed.
260			_aNew York : _bRoutledge, _c2012.
300			_a150 p. : ill.
500			_a"Co-published simultaneously as 'Journal of travel & tourism marketing', vol. 13, nos. 1/2 2002."
500			_aIncludes bibliographical references and index.
505			_aContents : Introduction: Tourism Forecasting: State of the Art -- Forecasting China's Monthly Inbound Travel Demand / Nada Kulendran and Jordan Shan-- Forecasting International Tourism Demand for Greece: A Contingency Approach / Panos Louvieris -- Factors Affecting Demand for Tourism in Hong Kong / Stephen Hiemstra and Kevin K. F. Wong -- Modeling Tourist Flows to Indonesia and Malaysia / Amy Y. F. Tan,Cynthia McCahon and Judy Miller -- Determinants of Domestic Travel Expenditure in South Korea / Woo Gon Kim and Hailin Qu -- Trends and Forecasts for Inbound Tourism to China / Stephen F. Witt and Lindsay W. Turner -- Learning and Ability to Pay: Developing a Model to Forecast Ski Tourism / GeoffL. Riddington -- Forecasting Travel Patterns Using Palmore's Cohort Analysis/ Lori Pennington-Gray Deborah L. Kerstetter Rod Warnick --
520			_aStay 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 forecast. It 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.
650			_aTourism _xEconometric models _932216
650			_aTourism _xForecasting _932217
650			_aTourism _xMarketing. _932218
700			_4editor _aWong, Kevin K.F. _932219
700			_4editor _aSong, Haiyan _931833
942			_cBK