Next Article in Journal
Connectedness to Nature and Pro-Environmental Behaviour from Early Adolescence to Adulthood: A Comparison of Urban and Rural Canada
Next Article in Special Issue
Assessing the Impacts of the COVID-19 Pandemic over the Azores Region’s Touristic Companies
Previous Article in Journal
Executive Gender and Firm Environmental Management: Evidence from CFO Transitions
Previous Article in Special Issue
Creative Tourism on Islands: A Review of the Literature
Article

Spatiotemporal Characteristics and Influencing Factors of Tourism Revenue in the Yangtze River Delta Urban Agglomeration Region during 2001–2019

1
School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China
2
College of Tourism, Jiangxi Science and Technology Normal University, Nanchang 330013, China
3
College of Environmental and Resource Sciences, Zhejiang A&F University, Hangzhou 311300, China
4
Institute of Nature Reserve Protection, East China University of Technology, Nanchang 330013, China
5
Faculty of Economics, University of Gdansk, 81-824 Sopot, Poland
*
Author to whom correspondence should be addressed.
Academic Editors: Rui Alexandre Castanho and Gualter Couto
Sustainability 2021, 13(7), 3658; https://doi.org/10.3390/su13073658
Received: 27 February 2021 / Revised: 18 March 2021 / Accepted: 22 March 2021 / Published: 25 March 2021
Green development is a solution to achieve sustainable development, while tourism development is one of the best approaches to realize a green economy. As the most rapid economic development region in China, the Yangtze River Delta Urban Agglomeration (YRDUA) has also witnessed rapid changes in its tourism economy during 2001–2019. Here, we analyzed the spatiotemporal patterns of its tourism revenue, and further identified contributions from multiple socio-economic factors using spatial analysis tools and regression models. The total tourism revenue increased 14.35 fold, with an annual increase rate of 79.73% during 2001–2019. The proportion of tourism revenue to the GDP continuously increased from 11.57% in 2001 to 18.89% in 2019. Tourism revenue increased for all cities, with the least increasing rates in the metropolitan cities including Shanghai, Nanjing, Suzhou and Hangzhou, and the largest increase rates in Ma’anshan, Hefei, Huzhou and Zhoushan. A regression and causality test indicated that different socioeconomic factors controlled the spatiotemporal variation patterns in different cities. The economic structure in the YRDUA has undergone significant shifts, with an increasing importance of tourism revenue in the GDP for most cities and a reducing discrepancy of tourism revenue among cities. Our study can enable the policy makers to be aware of the magnitude, temporal variation patterns, differences among cities and controlling factors for tourism development, and thus take suitable measures to further promote green tourism development in the YRDUA region. View Full-Text
Keywords: economic development; tourism revenue; regression model; spatiotemporal pattern; Yangtze River Delta Urban Agglomeration economic development; tourism revenue; regression model; spatiotemporal pattern; Yangtze River Delta Urban Agglomeration
Show Figures

Figure 1

MDPI and ACS Style

Jiao, G.; Lu, L.; Chen, G.; Huang, Z.; Cirella, G.T.; Yang, X. Spatiotemporal Characteristics and Influencing Factors of Tourism Revenue in the Yangtze River Delta Urban Agglomeration Region during 2001–2019. Sustainability 2021, 13, 3658. https://doi.org/10.3390/su13073658

AMA Style

Jiao G, Lu L, Chen G, Huang Z, Cirella GT, Yang X. Spatiotemporal Characteristics and Influencing Factors of Tourism Revenue in the Yangtze River Delta Urban Agglomeration Region during 2001–2019. Sustainability. 2021; 13(7):3658. https://doi.org/10.3390/su13073658

Chicago/Turabian Style

Jiao, Gengying, Lin Lu, Guangsheng Chen, Zhiqiang Huang, Giuseppe T. Cirella, and Xiaozhong Yang. 2021. "Spatiotemporal Characteristics and Influencing Factors of Tourism Revenue in the Yangtze River Delta Urban Agglomeration Region during 2001–2019" Sustainability 13, no. 7: 3658. https://doi.org/10.3390/su13073658

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop