Literary Destination Familiarity and Inbound Tourism:Evidence from China's Mainland  

在线阅读下载全文

作  者:Guodong Ju Jiankun Liu Guangye He Xinyi Zhang Fei Yan 

机构地区:[1]Department of Social Policy,London School of Economics and Politial Science,London,WC2A 2AE,UK [2]Department of Sociology,Harbin Engineering University,Harbin 150001,China [3]Department of Sociology,Nanjing University,Nanjing 210023,China [4]Business School,Beijing Language and Culture University,Beijing 100083,China [5]Department of Sociology,Tsinghua University,Beijing 100084,China

出  处:《Journal of Social Computing》2021年第2期193-206,共14页社会计算(英文)

基  金:This work was supported in part by the Tsinghua University Initiative Scientific Research Program(No.2019THZWLJ29).

摘  要: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 China's 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:affectionbased 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.

关 键 词:inbound tourism TOURIST destination familiarity China's Mainland Google Books 

分 类 号:F42[经济管理—产业经济]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象