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

Citations

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Cited by:

  1. Yuanyuan Li & Guangyi Jin & Boyang Sun & Zhehao Cui & Bishun Lu, 2022. "Spatial and temporal differences of Chinese tourists’ travel demands to North Korea," PLOS ONE, Public Library of Science, vol. 17(10), pages 1-18, October.
  2. Martin Obschonka & Mingjie Zhou & Yixin Zhou & Jianxin Zhang & Rainer K. Silbereisen, 2019. "“Confucian” traits, entrepreneurial personality, and entrepreneurship in China: a regional analysis," Small Business Economics, Springer, vol. 53(4), pages 961-979, December.
  3. Wang, Qian & Yao, Xinlin & Li, Xixi & Yan, Xiangbin & Li, Ruihao, 2025. "When peripheral route meets central route: An elaboration likelihood model of sales performance in live commerce," Journal of Retailing and Consumer Services, Elsevier, vol. 84(C).
  4. Wang, Chen & Chu, Zhongzhu & Gu, Wei, 2021. "Assessing the role of public attention in China's wastewater treatment: A spatial perspective," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
  5. Li, Yulei & Hu, Shiyang & Zhu, Bo, 2025. "Does ecology protection conflict with corporate development? Evidence from biodiversity and corporate total factor productivity in China," International Review of Financial Analysis, Elsevier, vol. 106(C).
  6. Yang, Yang & Fan, Yawen & Jiang, Lan & Liu, Xiaohui, 2022. "Search query and tourism forecasting during the pandemic: When and where can digital footprints be helpful as predictors?," Annals of Tourism Research, Elsevier, vol. 93(C).
  7. Zhongchen Song & Tom Coupé, 2023. "Predicting Chinese consumption series with Baidu," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 21(3), pages 429-463, July.
  8. Katerina Volchek & Anyu Liu & Haiyan Song & Dimitrios Buhalis, 2019. "Forecasting tourist arrivals at attractions: Search engine empowered methodologies," Tourism Economics, , vol. 25(3), pages 425-447, May.
  9. Kulshrestha, Anurag & Krishnaswamy, Venkataraghavan & Sharma, Mayank, 2020. "Bayesian BILSTM approach for tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 83(C).
  10. Wen, Fenghua & Xu, Longhao & Ouyang, Guangda & Kou, Gang, 2019. "Retail investor attention and stock price crash risk: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 65(C).
  11. Boming Zheng & Xijie Lin & Duo Yin & Xinhua Qi, 2023. "Does Tobler’s first law of geography apply to internet attention? A case study of the Asian elephant northern migration event," PLOS ONE, Public Library of Science, vol. 18(3), pages 1-17, March.
  12. Chumnumpan, Pattarin & Shi, Xiaohui, 2019. "Understanding new products’ market performance using Google Trends," Australasian marketing journal, Elsevier, vol. 27(2), pages 91-103.
  13. Eden Xiaoying Jiao & Jason Li Chen, 2019. "Tourism forecasting: A review of methodological developments over the last decade," Tourism Economics, , vol. 25(3), pages 469-492, May.
  14. Jianchun Fang & Wanshan Wu & Zhou Lu & Eunho Cho, 2019. "Using Baidu Index To Nowcast Mobile Phone Sales In China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(01), pages 83-96, March.
  15. Mingming Hu & Xin Zhao & Jingfei Ren & Doris Chenguang Wu, 2025. "A novel big data-based multicollinearity-eliminating feature extraction method for tourism demand forecasting," Tourism Economics, , vol. 31(7), pages 1371-1401, November.
  16. Gu, Fu & Wang, Jiqiang & Guo, Jianfeng & Fan, Ying, 2020. "Dynamic linkages between international oil price, plastic stock index and recycle plastic markets in China," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 167-179.
  17. Liu, Yuan-Yuan & Tseng, Fang-Mei & Tseng, Yi-Heng, 2018. "Big Data analytics for forecasting tourism destination arrivals with the applied Vector Autoregression model," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 123-134.
  18. Chuan Zhang & Ao‐Yun Hu & Yu‐Xin Tian, 2023. "Daily tourism forecasting through a novel method based on principal component analysis, grey wolf optimizer, and extreme learning machine," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2121-2138, December.
  19. Li, Hengyun & Gao, Huicai & Song, Haiyan, 2023. "Tourism forecasting with granular sentiment analysis," Annals of Tourism Research, Elsevier, vol. 103(C).
  20. Chen, Fanglin & Zhang, Tianzi & Chen, Zhongfei, 2024. "Assessment of environmental concern for enterprise pollution reduction," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 772-786.
  21. Chuan Zhang & Yu-Xin Tian & Ling-Wei Fan, 2020. "Improving the Bass model’s predictive power through online reviews, search traffic and macroeconomic data," Annals of Operations Research, Springer, vol. 295(2), pages 881-922, December.
  22. Gang Xie & Xin Li & Yatong Qian & Shouyang Wang, 2021. "Forecasting tourism demand with KPCA-based web search indexes," Tourism Economics, , vol. 27(4), pages 721-743, June.
  23. Ziqi Yuan & Guozhu Jia, 2022. "Systematic investigation of keywords selection and processing strategy on search engine forecasting: a case of tourist volume in Beijing," Information Technology & Tourism, Springer, vol. 24(4), pages 547-580, December.
  24. Schaer, Oliver & Kourentzes, Nikolaos & Fildes, Robert, 2019. "Demand forecasting with user-generated online information," International Journal of Forecasting, Elsevier, vol. 35(1), pages 197-212.
  25. Guo, Mengmeng & Kuai, Yicheng & Liu, Xiaoyan, 2020. "Stock market response to environmental policies: Evidence from heavily polluting firms in China," Economic Modelling, Elsevier, vol. 86(C), pages 306-316.
  26. Bi, Jian-Wu & Liu, Yang & Li, Hui, 2020. "Daily tourism volume forecasting for tourist attractions," Annals of Tourism Research, Elsevier, vol. 83(C).
  27. Jordi Grau-Escolano & Salvador Anton Clavé & Joan Borràs, 2026. "Daily tourism demand forecasting via card transactions: a multi-source, interpretable, framework for diverse destinations and markets," Information Technology & Tourism, Springer, vol. 28(1), pages 1-29, June.
  28. Ling Tang & Chengyuan Zhang & Tingfei Li & Ling Li, 2021. "A novel BEMD-based method for forecasting tourist volume with search engine data," Tourism Economics, , vol. 27(5), pages 1015-1038, August.
  29. Alan Duncan & Abebe Hailemariam, 2025. "Come and say G’day: Using search engine data to understand the dynamics of tourism demand in Australia," Tourism Economics, , vol. 31(7), pages 1428-1451, November.
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