Title :
Application of wavelet´s analytical method in Chinese tourism market
Author :
Zhang Pengshun ; Hu Jianguo
Author_Institution :
Fac. of Econ. & Manage., Anqing Vocational & Tech. Coll., Anqing, China
Abstract :
The wavelet´s analytical method has such characteristics as localization, multi-level and multi-resolution. It can be extensively applied in analysis and prediction of tourism economy time series. By analyzing the wavelet of international tourists since the reform and opening up of our country, we can conclude three topics. Firstly, growth of international tourists in our country has a long-term tendency and an oscillation cycle of 16 years and 6 years. Secondly, political environment and tourism policies are the most important factors affecting the tourists, emergencies are of minor factors. Holding political and economical stabilization of our country and remaining fine International image are keys to maintain stable growth of inbound tourism in our county after the financial crisis. Thirdly the tourism of our country isn´t fragile; it is a industry which has very strong capacity to resist disturbances.
Keywords :
economic cycles; industrial economics; international trade; time series; travel industry; wavelet transforms; Chinese tourism market; economical stabilization; financial crisis; international tourists; political environment; tourism economy time series; tourism policies; wavelet analytical method; Economics; Fitting; Fluctuations; Industries; Wavelet analysis; Wavelet coefficients; goodness of fit; international tourists; multi-scale; wavelet analysis;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6010888