Literary Destination Familiarity and Inbound Tourism: Evidence from Chinese Mainland
Destination familiarity is an important non-economic determinant of tourists’ destination choice that has not been adequately studied. This study posits a literary dimension to the concept of destination familiarity—that is, the extent to which tourists have gained familiarity with a given destinati...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2021-06-01
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| Series: | Journal of Social Computing |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.23919/JSC.2021.0013 |
| _version_ | 1797986196421345280 |
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| author | Guodong Ju Jiankun Liu Guangye He Xinyi Zhang Fei Yan |
| author_facet | Guodong Ju Jiankun Liu Guangye He Xinyi Zhang Fei Yan |
| author_sort | Guodong Ju |
| collection | DOAJ |
| description | Destination familiarity is an important non-economic determinant of tourists’ destination choice that has not been adequately studied. This study posits a literary dimension to the concept of destination familiarity—that is, the extent to which tourists have gained familiarity with a given destination through literature—and seeks to investigate the impact of this form of familiarity on inbound tourism to Chinese mainland. Employing the English fiction dataset of the Google Books corpus, the New York Times annotated corpus, and the Time magazine corpus, we construct two types of destination familiarity based on literary texts: affection-based destination familiarity and knowledge-based destination familiarity. The results from dynamic panel estimation (1994–2004) demonstrate that the higher the degree of affection-based destination familiarity with a province in the previous year, the larger the number of inbound tourists the following year. Examining the influence of literature and its consumption on tourism activities sheds light on the dynamics of sustainable tourism development in emerging markets. |
| first_indexed | 2024-04-11T07:30:12Z |
| format | Article |
| id | doaj.art-d473badd6e504cbaa360d119e14b25d9 |
| institution | Directory Open Access Journal |
| issn | 2688-5255 |
| language | English |
| last_indexed | 2024-04-11T07:30:12Z |
| publishDate | 2021-06-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Journal of Social Computing |
| spelling | doaj.art-d473badd6e504cbaa360d119e14b25d92022-12-22T04:36:57ZengTsinghua University PressJournal of Social Computing2688-52552021-06-012219320610.23919/JSC.2021.0013Literary Destination Familiarity and Inbound Tourism: Evidence from Chinese MainlandGuodong Ju0Jiankun Liu1Guangye He2Xinyi Zhang3Fei Yan4Department of Social Policy, London School of Economics and Politial Science, London, <postal-code>WC2A 2AE</postal-code>, <country>UK</country><institution content-type="dept">Department of Sociology</institution>, <institution>Harbin Engineering University</institution>, <city>Harbin</city> <postal-code>150001</postal-code>, <country>China</country><institution content-type="dept">Department of Sociology</institution>, <institution>Nanjing University</institution>, <city>Nanjing</city> <postal-code>210023</postal-code>, <country>China</country><institution content-type="dept">Business School</institution>, <institution>Beijing Language and Culture University</institution>, <city>Beijing</city> <postal-code>100083</postal-code>, <country>China</country><institution content-type="dept">Department of Sociology</institution>, <institution>Tsinghua University</institution>, <city>Beijing</city> <postal-code>100084</postal-code>, <country>China</country>Destination familiarity is an important non-economic determinant of tourists’ destination choice that has not been adequately studied. This study posits a literary dimension to the concept of destination familiarity—that is, the extent to which tourists have gained familiarity with a given destination through literature—and seeks to investigate the impact of this form of familiarity on inbound tourism to Chinese mainland. Employing the English fiction dataset of the Google Books corpus, the New York Times annotated corpus, and the Time magazine corpus, we construct two types of destination familiarity based on literary texts: affection-based destination familiarity and knowledge-based destination familiarity. The results from dynamic panel estimation (1994–2004) demonstrate that the higher the degree of affection-based destination familiarity with a province in the previous year, the larger the number of inbound tourists the following year. Examining the influence of literature and its consumption on tourism activities sheds light on the dynamics of sustainable tourism development in emerging markets.https://www.sciopen.com/article/10.23919/JSC.2021.0013inbound tourismtouristdestination familiaritychinese mainlandgoogle books |
| spellingShingle | Guodong Ju Jiankun Liu Guangye He Xinyi Zhang Fei Yan Literary Destination Familiarity and Inbound Tourism: Evidence from Chinese Mainland Journal of Social Computing inbound tourism tourist destination familiarity chinese mainland google books |
| title | Literary Destination Familiarity and Inbound Tourism: Evidence from Chinese Mainland |
| title_full | Literary Destination Familiarity and Inbound Tourism: Evidence from Chinese Mainland |
| title_fullStr | Literary Destination Familiarity and Inbound Tourism: Evidence from Chinese Mainland |
| title_full_unstemmed | Literary Destination Familiarity and Inbound Tourism: Evidence from Chinese Mainland |
| title_short | Literary Destination Familiarity and Inbound Tourism: Evidence from Chinese Mainland |
| title_sort | literary destination familiarity and inbound tourism evidence from chinese mainland |
| topic | inbound tourism tourist destination familiarity chinese mainland google books |
| url | https://www.sciopen.com/article/10.23919/JSC.2021.0013 |
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