Coupling and interaction between tourism eco-efficiency and new urbanization in the Yangtze River Economic Belt: based on the perspective of uncoupling coordination

Yang, Xingyu; Zhang, Fengtai; Xiao, Yuedong; An, Youzhi; Jiang, Cheng; Tan, Hongmei; Gong, Guofang

doi:10.1007/s10668-022-02610-1

Cited by 15 publications

(9 citation statements)

References 51 publications

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“…This shows that we should take note of the interaction between the standard of economic development, the progression of the digital economy, and the standard of technological innovation in the promotion of tourism ecological efficiency. According to Table 6, the explanatory powers of the interactions between the social consumption standard (SC) [42], degree of opening up (IE), energy-technology level (ET), government intervention level (PR), energy-technology level (ET), science-and-technology-innovation level (ST), and government intervention level (PR) [43] are in the top four of all the interactive factors. The reasons for this are the tourism ecological efficiencies and social consumption standards of the 21 cities in Guangdong Province in 2015.…”

Section: Analysis Of Detection Resultsmentioning

confidence: 99%

The Spatiotemporal Characteristics and Driving Factors of Regional Ecological Efficiency in the Tourism Sector

Deng,

Chen

2024

Sustainability

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Improving tourism’s ecological efficiency and facilitating harmony between tourism development and the ecological environment are profitable and conducive to sustainable development. In this study, we investigated the relationship between tourism’s eco-efficiency for sustainable tourism development and environmental protection by incorporating unexpected outputs to calculate tourism’s eco-efficiencies, analyzing the three-dimensional spatial variation and, finally, considering the effects of nine comprehensive factors on the extent of the spatial variation in tourism efficiencies: economic development, openness, social consumption, the digital economy, transportation infrastructure, government intervention, technological innovation, energy consumption, and passenger turnover. First, an unexpected slack-based measure model was applied to calculate the tourism ecological efficiencies of 21 cities in Guangdong Province from 2009 to 2021. Second, the natural breakpoint method and trend surface analysis were used to identify the spatiotemporal differences in and spatial trends of these tourism ecological efficiencies. Finally, the geographical detector model was utilized to analyze the elements affecting the spatial and temporal differences in the tourism ecological efficiencies. Overall, the tourism ecological efficiencies of 21 cities in Guangdong Province are at a high level, showing obvious spatiotemporal changes. Compared with 2009 and 2021, the overall tourism ecological efficiencies of 21 cities in Guangdong Province shifted from a trend of high in the north, low in the south, low in the west, and high in the east to a trend of low in the north, low in the south, high in the west, and low in the east. The distribution in the north–south and east–west directions is in a “U” shape, and the spatial differences in the north–south and east–west directions are relatively significant. We suggest considering the roles of factors such as the development of the digital economy, the level of government intervention, the level of technical innovation, the driving force of transportation, the standard of the transportation infrastructure, and the standard of social consumption. This study provides a constructive approach to elevating the tourism ecological efficiencies of 21 cities in Guangdong Province with regards to the nine driving factors.

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Section: Analysis Of Detection Resultsmentioning

confidence: 99%

The Spatiotemporal Characteristics and Driving Factors of Regional Ecological Efficiency in the Tourism Sector

Deng,

Chen

2024

Sustainability

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“…In recent decades, ecological damage and environmental pollution caused by economic and social development have attracted much attention (Yang et al, 2022). Therefore, economic and social development is an important aspect related to ecosystem health.…”

Section: Index Settingmentioning

confidence: 99%

A county-scale assessment of ecosystem health in the Three Gorges Reservoir area based on catastrophe theory

Xie

Li²,

Zhao³

et al. 2023

Front. Environ. Sci.

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The integrity and health of the ecosystem is the material basis for the common prosperity of different minority areas. Since the acceleration of social and economic growth in the 21st century, excessive social development has caused ecological imbalance, climate change and environmental pollution and other problems. The irrational use of natural resources gradually affects the balance between man and nature. In this paper, the characteristics of ecosystem health and four sub-systems of environment, economy, society and management in the Three Gorges Reservoir area are selected to study. The purpose of this paper is to construct an ecosystem health evaluation index system to describe the characteristics of the ecosystem in the Three Gorges Reservoir area. Firstly, a multi-criteria evaluation model was established based on catastrophe theory to evaluate the health of the ecosystem in the Three Gorges Reservoir area. Secondly, the Catastrophe progression method (CPM) was used to describe the overall change trend of the ecosystem in the Three Gorges Reservoir area from 2000 to 2016. The study shows that since 2000, with the development of economy and society and the further strengthening of environmental management, the health of the ecosystem in the Three Gorges Reservoir area has been improved year by year. At the same time, in order to further explore the factors affecting the ecosystem health of the reservoir, the climate factors were added to the control variables, and the model regression analysis was established through panel data. The final conclusion was that the average temperature, rainfall and sunshine time had significant effects on the ecosystem of the reservoir.

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“…α 1 , α 2 , α 3 , α 4 , β represent the contributions of stability, redundancy, resourcefulness, connectivity and city size, respectively. With reference to the existing literature [49], all these parameters are determined as 1/5, and the CCD is classified as a coordination state (0.80 ≤ CCD < 1.0), a moderate coordination state (0.6 ≤ CCD < 0.80), a mild-conflict state (0.50 ≤ CCD < 0.60), an antagonistic state (0.20 ≤ CCD < 0.50), and disorder state (0 ≤ CCD < 0.20).…”

Section: Coupling Coordination Degree Modelmentioning

confidence: 99%

Urban Resilience and Its Links to City Size: Evidence from the Yangtze River Economic Belt in China

Wang,

Li,

2023

Land

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Understanding the relationship between city size and resilience is crucial for informed decisions on preparedness and interventions in building resilient cities. This study addresses this issue by dividing urban resilience into four components: stability, redundancy, resourcefulness, and connectivity. Using the above evaluation framework, we assessed the spatial–temporal variations in the relationship between city size and resilience in the Yangtze River Economic Belt from 2005 to 2020. The findings shows that, overall, resilience increased in the cities, with larger populations and spatial scales showing greater resilience, but both megacities and small cities experienced a decline in resilience. In terms of the four components of resilience, most of the region’s cities have roughly equal connectivity and stability, but redundancy and resourcefulness vary by city size and location. Specifically, downstream and larger cities demonstrated better crisis resolution and innovation. The dominant coupling coordination states showed antagonism between population and resilience. Upstream areas experienced a mismatch between “low resilience” and “large population”, while a moderate coordination existed between spatial scale and resilience. Further, it was found that factors hindering urban resilience varied according to city size. Cities with a population of <3 million faced low connectivity and limited transformation capacity. Those with a population of 3–5 million had moderate connectivity limitations, while cities with a population >5 million faced energy and aging population challenges. This study contributes to urban resilience discourse by providing a conceptual understanding and empirical analysis of the impact of city size on resilience.

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Coupling and interaction between tourism eco-efficiency and new urbanization in the Yangtze River Economic Belt: based on the perspective of uncoupling coordination

Cited by 15 publications

References 51 publications

The Spatiotemporal Characteristics and Driving Factors of Regional Ecological Efficiency in the Tourism Sector

The Spatiotemporal Characteristics and Driving Factors of Regional Ecological Efficiency in the Tourism Sector

A county-scale assessment of ecosystem health in the Three Gorges Reservoir area based on catastrophe theory

Urban Resilience and Its Links to City Size: Evidence from the Yangtze River Economic Belt in China

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