The Challenge of Regional Tourism Demand Forecasting: The Case of China

被引:22
作者
Zhou-Grundy, Yvonne [1 ]
Turner, Lindsay W. [2 ]
机构
[1] AMI, Melbourne, Vic, Australia
[2] Victoria Univ, Melbourne, Vic 8001, Australia
关键词
tourism demand; regional tourism forecasting; China tourism; INTERNATIONAL TRAVEL DEMAND; UNITED-STATES; TIME; COINTEGRATION; MODEL;
D O I
10.1177/0047287513516197
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study forecasts international arrivals to regional China, using international guest arrival data at accommodation establishments in 31 regional provinces. The research takes tourism forecasting into a new and significant area of study by examining intra country regional forecasting. The objective is to determine whether regional forecasting models can be used, in responding to demand from regional governments and industry in China to accurately forecast international regional tourist arrivals that increasingly underpin the success of tourism development. The study examines whether modern techniques (Basic Structural and Time Varying Parameter Models) can accurately forecast international regional arrivals with regional data. A significant contribution is testing theory for selecting new explanatory variables specific to regional tourism, which are different from those used in national forecasting. The conclusions are that regional forecasting can be accurate though not always using an econometric method, and regional forecasts are a practical management tool.
引用
收藏
页码:747 / 759
页数:13
相关论文
共 59 条
[1]  
[Anonymous], 2003, TOURISM HOSPITALITY
[2]  
[Anonymous], SOCIAL SCI REV
[3]   Hierarchical forecasts for Australian domestic tourism [J].
Athanasopoulos, George ;
Ahmed, Roman A. ;
Hyndman, Rob J. .
INTERNATIONAL JOURNAL OF FORECASTING, 2009, 25 (01) :146-166
[4]   Modeling tourism: A fully identified VECM approach [J].
Bonham, Carl ;
Gangnes, Byron ;
Zhou, Ting .
INTERNATIONAL JOURNAL OF FORECASTING, 2009, 25 (03) :531-549
[5]   A practitioners guide to time-series methods for tourism demand forecasting - a case study of Durban, South Africa [J].
Burger, CJSC ;
Dohnal, M ;
Kathrada, M ;
Law, R .
TOURISM MANAGEMENT, 2001, 22 (04) :403-409
[6]  
Darnell A., 1990, Tourism Management, V11, P251, DOI 10.1016/0261-5177(90)90048-E
[7]   The forecasting ability of a cointegrated VAR system of the UK tourism demand for France, Spain and Portugal [J].
De Mello, MM ;
Nell, KS .
EMPIRICAL ECONOMICS, 2005, 30 (02) :277-308
[8]   Cointegration analysis of German and British tourism demand for Greece [J].
Dritsakis, N .
TOURISM MANAGEMENT, 2004, 25 (01) :111-119
[9]   Univariate versus multivariate time series forecasting: an application to international tourism demand [J].
du Preez, J ;
Witt, SF .
INTERNATIONAL JOURNAL OF FORECASTING, 2003, 19 (03) :435-451
[10]   Rural Tourism Development in China [J].
Gao, Shunli ;
Huang, Songshan ;
Huang, Yucheng .
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2009, 11 (05) :439-450