Wang Kai

Prof. Dr. Wang Kai


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 May 2022 in Tourism Economics
Verified
Journal Article
Closed access
CGChang Gan
Chang Gan
WKWang Kai
Wang Kai
Mihai VodaMihai Voda
Mihai Voda
JYJun Ye
Jun Ye
LCLijun Chen
Lijun Chen
Despite the recognition of the relationship between technological innovation and tourism development, there is a dearth of rigorous empirical specifications to examine the effect of technological innovation on the latter. With 27 cities of the Yangtze River Delta Urban Agglomeration (YRDUA) in China as an empirical case, this study explores whether technological innovation can promote tourism development by using a series of panel regression models. The empirical results indicate that technological innovation has a positive effect on the development of tourism in the YRDUA. With respect to different regions, types of cities, and stages, there are differences in the positive impact of technological innovation on tourism development. Additionally, the impact of different types of technological innovations on tourism development is also diverse.

25 April 2022 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
CGChang Gan
Chang Gan
WKWang Kai
Wang Kai
Mihai VodaMihai Voda
Mihai Voda


25 April 2021 in Sustainability
Verified
Journal Article
Open access
PDF file
WKWang Kai
Wang Kai
MWMenghan Wang
Menghan Wang
CGChang Gan
Chang Gan
QCQinchang Chen
Qinchang Chen
Mihai VodaMihai Voda
Mihai Voda
The social network analysis has been actively applied in various tourist destinations, with a few studies on the tourism economic network structure of national parks. Taking the national parks in the Central Region of China as research objects, this study applies the modified gravity model to measure the strength of tourism economic connection. The social network analysis method (SNA) is used to analyze the network structure of tourism economic connection among national parks from the perspectives of overall network density, network centrality, and cohesive subgroups. The results show that the intensity of the tourism relationships among national parks in Central China is unbalanced in spatial distribution. The structure of tourism economic network presents a multi-core model. Lushan Mountain, Shaoshan, Wudang Mountain, and other national parks play a necessary role in the transmission of regional tourism economic elements. There are cohesive subgroups of connections among national parks, which are closely related to administrative divisions and regional cultural background. The subgroups of interior scenes in the same province are more closely related, and the degree of tourism integration still needs to be improved. The study advances the understanding of tourism economic network relationships among tourist attractions in a destination.

1 August 2015 in Tourism Economics
Verified
Journal Article
Closed access
WKWang Kai
Wang Kai
JYJing Yi
Jing Yi
YWYongmei Wang
Yongmei Wang
This paper explores the spatio-temporal trend structure of inbound tourism development levels in China from 1991 to 2010. The investigation is based on theories of unbalanced regional economic growth and uses econometric methods. Absolute and relative disparities at the provincial level of inbound tourism in China tended to decrease during the 1990s. From 2001 to 2010, the relative disparities gradually decreased, whereas the absolute difference slightly increased. The overall regional disparity in the tourism development level exhibits a non-polarized and unbalanced development tendency along with the emergence of new, secondary tourism economic growth centres. Moreover, gradient differences remain in the three economic zones of China. This paper proposes a paradigm framework for regulating regional disparities and for facilitating comprehensive and coordinated inbound tourism development.

19 February 2025 in Economic Change and Restructuring
Verified
Journal Article
Closed access
PDF file
WKWang Kai
Wang Kai
MLMeilun Liu
Meilun Liu
CGChang Gan
Chang Gan