Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/23508
Title: | Modeling Chinese Inbound Tourism Arrivals into Christchurch | Contributor(s): | Fieger, Peter (author) ; Rice, John (author) | Publication Date: | 2018 | Open Access: | Yes | Handle Link: | https://hdl.handle.net/1959.11/23508 | Open Access Link: | https://journals.tdl.org/ertr/index.php/ertr/article/view/234 | Abstract: | New data and modeling approaches are improving the usefulness of Internet search data for forecasting inbound tourist arrivals. Previous research has focused on Google Trends as a source of search data to augment tourism forecasting capabilities. In the context of rapidly increasing Chinese outbound tourism Google data lacks the market penetration in China to produce reliable auxiliary data for tourism forecasting. This short paper provides evidence of the usefulness of Baidu search data in predicting Chinese inbound tourist arrivals into a specific region in New Zealand. It also compares three modeling approaches, finding a Vector Autoregressive approach the most useful. | Publication Type: | Journal Article | Source of Publication: | e-Review of Tourism Research, 15(4/5), p. 404-414 | Publisher: | Texas A&M University | Place of Publication: | United States of America | ISSN: | 1941-5842 | Fields of Research (FoR) 2008: | 140216 Tourism Economics | Fields of Research (FoR) 2020: | 380116 Tourism economics | Socio-Economic Objective (SEO) 2008: | 900301 Economic Issues in Tourism | Socio-Economic Objective (SEO) 2020: | 110401 Economic issues in tourism | Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Journal Article UNE Business School |
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