Spatio-Temporal Evolution and Influencing Factors of the Resilience of Tourism Environmental Systems in the Yangtze River Economic Belt of China

Wang, Kun; Zhao, Suisheng; Chen, X. L.; Zhong, Lei; Zhou, Xiangyu

doi:10.3390/su151310527

Cited by 8 publications

(7 citation statements)

References 74 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The degree of economic openness, cultural atmosphere, and resource endowment are added as control variables. The logarithm of research and development (R&D) expenditure is used to represent technological innovation(Romão & Nijkamp, 2019); the logarithm of green area per capita is used to represent the ecological environment (Q. Wang et al, 2020); the logarithm of the number of star-rated hotels represents infrastructure facilities (Yang & Fik, 2014); the proportion of tertiary industry output value to the gross domestic product (GDP) is used to represent industrial structure (Capone & Boix, 2008); and the logarithm of internet access ports is used to represent the level of IT development (Kumar et al, 2019); the logarithm of passenger turnover represents the location (Zhao & Chen, 2020).…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Factors Influencing the Spatial Spillovers of the Interprovincial Tourism Economy Based on Three-dimensional Distance: Evidence From China

Zhang,

Sun,

Jiang

2023

Sage Open

View full text Add to dashboard Cite

This study applies a spatial econometric model to examine the impact of three-dimensional distance on interprovincial tourism economic spillover effects using panel data from 30 provinces in China from 2010 to 2019. The impacts of technological innovation, ecological environment, informatization level, industrial structure, infrastructure facilities, and location, on the indirect effect of the tourism economy are comparatively analyzed. It explores the regional characteristics and developmental changes of tourism economic spillover. The results show that, first, based on the three spatial matrices, the direct and total effect values of technological innovation are the largest when close to each other, and technological innovation among provinces with higher economic volumes significantly promotes positive interprovincial tourism economic spillover. Second, ecological environment is the main promoting factor of positive tourism economic spillover among neighboring provinces in China’s western region. Third, industrial structure optimization shows a significant positive spatial spillover effect. Fourth, with gradual infrastructure improvement, the influence of infrastructure facilities on the spillover effect of interprovincial tourism economy weakens gradually. Fifth, improved information technology levels can effectively promote positive spatial spillover of the tourism economy. Sixth, the influence of location on the positive spatial spillover of the interprovincial tourism economy shows a gradually increasing trend.

show abstract

Section: Methodsmentioning

confidence: 99%

“…Brida et al (2010) believe that the industrial structure, especially the tertiary sector development, is the basis of tourism development and supports it. Q. Wang et al (2020) find that industrial structures can directly or indirectly affect the tourism economy.…”

Section: Literature Reviewmentioning

confidence: 98%

Factors Influencing the Spatial Spillovers of the Interprovincial Tourism Economy Based on Three-dimensional Distance: Evidence From China

Zhang,

Sun,

Jiang

2023

Sage Open

View full text Add to dashboard Cite

show abstract

“…However, the research on urban resilience and tourist economic systems remains in the exploratory stage, with limited relevant research findings. Wang K established an index system for evaluation from three levels of economic, social, and ecological resilience to study the resilience of the tourist environment system [20]. Cheng et al found that the tourism sector recovered the fastest and was crucial to the economic recovery and restoration of the area [21].…”

Section: Urban Resilience and The Tourism Economymentioning

confidence: 99%

A Study on the Coupling Coordination of Urban Resilience and the Tourism Economy in the Beijing–Tianjin–Hebei Region

Zhang,

2024

Sustainability

View full text Add to dashboard Cite

The high-quality economic growth of tourism is intimately related to a city’s overall strength, and urban resilience is an important index to measure the comprehensive strength of a city. Therefore, determining how to enhance the construction of urban resilience, improve the quality of tourism development, and promote the coupling coordination of these two systems has attracted academic attention in recent years. Based on the panel data of 13 cities in the Beijing–Tianjin–Hebei region from 2010 to 2021, an entropy weight method, coupling coordination model, and obstacle degree model were used to analyze the coupling coordination degree, spatiotemporal evolution characteristics, and obstacle factors between urban resilience and the tourism economy. The results show the following: (1) Urban resilience and tourist economic development levels in the Beijing–Tianjin–Hebei region show an overall upward trend, and both of them show obvious spatial differences. (2) The coupling coordination degree of urban resilience and the tourism economy shows a trend of first rising and then declining in the temporal dimension, while it shows a spatial differentiation pattern of “high in the middle and low in the surrounding area” in the spatial dimension. (3) The obstacle degree structure of the coupling coordination of urban resilience and the tourism economy in the Beijing–Tianjin–Hebei region is relatively stable, with economic resilience as the leading obstacle in the urban resilience system and tourist economic development benefits as the leading obstacle in the tourism economy system. In the future, the Beijing–Tianjin–Hebei region needs to strengthen regional cooperation, enhance the driving role of central cities, continuously improve urban resilience, and promote the high-quality development of the tourism economy.

show abstract

“…In economically weaker regions, the economic losses tend to be smaller [18]. This capacity mainly includes the tourism economic index [20] and tourism resources index [21]. Recovery capacity refers to the speed and degree of recovery of the tourism economy from the impact of risk fluctuations.…”

Section: Construction Of the Indicator Systemmentioning

confidence: 99%

Spatio-Temporal Evolution and Driving Factors of Tourism Economic Resilience in the Yili River Valley

Zhao,

Sun,

Zhao

et al. 2024

Sustainability

View full text Add to dashboard Cite

The tourism economy plays an essential role in supporting and driving tourism development. Therefore, studying its resilience is crucial for promoting sustainable and high-quality tourism development. The purpose of this study is to construct a tourism economic resilience evaluation index system and assess the tourism economic resilience of 10 counties and cities in the Ili River Valley from 2010 to 2019 using the entropy weight TOPSIS method. The results show that (1) the tourism economic resilience shows a “W”-shaped time-series dynamic development trend, especially a decline in 2012–2013 and 2015–2016; (2) the spatial pattern shows a non-equilibrium characteristic, with the northwestern part of the valley represented by Yining City showing a high level of resilience, and the central to southeastern counties and cities showing a lower level of resilience; (3) the spatio-temporal evolution steadily points to “northwest–southeast”, and there are five toughness convergence clubs, with obvious stability and neighborhood effects; (4) and the analysis of the driving factors shows that the number of employees in the tertiary industry, especially the input of high-quality talents, is crucial to improving the quality of services, strengthening the ability to withstand risks and the potential for development, and its impact is significant. These results provide an important reference for the formulation of tourism development strategies and promote the sustainable development of tourism.

show abstract

Spatio-Temporal Evolution and Influencing Factors of the Resilience of Tourism Environmental Systems in the Yangtze River Economic Belt of China

Cited by 8 publications

References 74 publications

Factors Influencing the Spatial Spillovers of the Interprovincial Tourism Economy Based on Three-dimensional Distance: Evidence From China

Factors Influencing the Spatial Spillovers of the Interprovincial Tourism Economy Based on Three-dimensional Distance: Evidence From China

A Study on the Coupling Coordination of Urban Resilience and the Tourism Economy in the Beijing–Tianjin–Hebei Region

Spatio-Temporal Evolution and Driving Factors of Tourism Economic Resilience in the Yili River Valley

Contact Info

Product

Resources

About