The Baidu Index: Uses in predicting tourism flows -A case study of the Forbidden City

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• 作者：Xiankai Huang ^{xiankai@buu.edu.cn}Author Vitae ; Lifeng Zhang ; ^{zhanglifeng999@163.com}Author Vitae ; Yusi Ding ^{lytyusi@buu.edu.cn}Author Vitae
• 关键词：Baidu Index ; Tourist attractions ; Co-integration ; Autoregressive moving average model ; Autoregressive distributed lag model
• 刊名：Tourism Management
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：58
• 期：Complete
• 页码：301-306
• 全文大小：672 K
• 卷排序：58

文摘

Indicates role of Baidu analytics in forecasting future domestic tourist flows in China. Uses Baidu analytics with econometrics to forecast flows for the Forbidden Palace. Provides example of application during a “Golden Week”.