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Applied Economics Volume 43, 2011 - Issue 5
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Original Articles

Forecasting long-haul tourism demand for Hong Kong using error correction models

Koon Nam Lee Division of Commerce, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Kowloon, Hong Kong, ChinaCorrespondence[email protected]
Pages 527-549 | Published online: 04 Jun 2010

Citations (18)

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Shuai Ma, Hengyun Li, Mingming Hu, Haifeng Yang & Ruogu Gan. (2023) Tourism demand forecasting based on user-generated images on OTA platforms. Current Issues in Tourism 0:0, pages 1-20.
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Koon Nam Henry Lee. (2011) Estimating demand elasticities for intra-regional tourist arrivals to Hong Kong – the ‘bounds’ testing approach. Applied Economics Letters 18:17, pages 1645-1654.
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Articles from other publishers (16)

Kyle Madden, Goda Lukoseviciute, Elaine Ramsey, Thomas Panagopoulos & Joan Condell. (2023) Forecasting daily foot traffic in recreational trails using machine learning. Journal of Outdoor Recreation and Tourism 44, pages 100701.
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Mingchen Li, Chengyuan Zhang, Shaolong Sun & Shouyang Wang. (2022) A novel deep learning approach for tourism volume forecasting with tourist search data. International Journal of Tourism Research 25:2, pages 183-197.
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Yuying Sun, Jian Zhang, Xin Li & Shouyang Wang. (2021) Forecasting Tourism Demand With a New Time-Varying Forecast Averaging Approach. Journal of Travel Research 62:2, pages 305-323.
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Wai Hong Kan Tsui, Xiaowen Fu, Chuanzhong Yin & Huaxin Zhang. (2021) Hong Kong's aviation and tourism growth - An empirical investigation. Journal of Air Transport Management 93, pages 102036.
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Xiaoying Jiao, Gang Li & Jason Li Chen. (2020) Forecasting international tourism demand: a local spatiotemporal model. Annals of Tourism Research 83, pages 102937.
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Zdravko Šergo. (2020) The Wealth Effect and Tourism – ARDL Modeling and Granger Causality in Selected EU Countries. Tourism and hospitality management 26:1, pages 195-212.
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Armand Viljoen, Andrea Saayman & Melville Saayman. (2018) Determinants influencing inbound arrivals to Africa. Tourism Economics 25:6, pages 856-883.
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Eden Xiaoying Jiao & Jason Li Chen. (2018) Tourism forecasting: A review of methodological developments over the last decade. Tourism Economics 25:3, pages 469-492.
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Shaolong Sun, Yunjie Wei, Kwok-Leung Tsui & Shouyang Wang. (2019) Forecasting tourist arrivals with machine learning and internet search index. Tourism Management 70, pages 1-10.
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Damira Đukec. FORECASTING TOURISM DEMAND IN CROATIA USING BOX AND JENKINS METHODOLOGY. FORECASTING TOURISM DEMAND IN CROATIA USING BOX AND JENKINS METHODOLOGY.
Brian Masinde & Steven Buigut. (2018) Effect of Terrorism and Travel Warning On Kenyan Tourism Demand. Tourism Analysis 23:2, pages 283-288.
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Lin Shao-Jiang, Chen Jia-Ying & Liao Zhi-Xue. (2018) A EMD-BP integrated model to forecast tourist number and applied to Jiuzhaigou. Journal of Intelligent & Fuzzy Systems 34:2, pages 1045-1052.
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Feng Qian, Cao Han & Meng Haiyan. (2016) Intelligent model system for tourism flow prediction. Intelligent model system for tourism flow prediction.
Oscar Claveria, Enric Monte & Salvador Torra. (2015) A new forecasting approach for the hospitality industry. International Journal of Contemporary Hospitality Management 27:7, pages 1520-1538.
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Yi Hu, Jin Xiao, Ying Deng, Yi Xiao & Shouyang Wang. (2015) Domestic air passenger traffic and economic growth in China: Evidence from heterogeneous panel models. Journal of Air Transport Management 42, pages 95-100.
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Oscar Claveria, Enric Monte & Salvador Torra. (2014) A Multivariate Neural Network Approach to Tourism Demand Forecasting. SSRN Electronic Journal.
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