Spatio-temporal evolutionary analysis of ecological economic resilience in typical Chinese tourist cities

Abstract

In recent years, China’s tourism sector has experienced rapid growth. Ecological economic resilience, a crucial metric for assessing urban comprehensive strength, has increasingly garnered attention from academics and governmental bodies. In this study, we assess the resilience of tourism cities’ ecological economies using 28 selected indicators. By employing the entropy value method, we establish the weights for these indicators, facilitating an exploration of their temporal evolution. Spatial evolution characteristics are examined through spatial autocorrelation analysis, incorporating the global Moran’s I index. Utilizing a coupled coordination model, we calculate the ecological, economic resilience, and urban tourism development levels across various cities. Our findings indicate a significant increase in ecological resilience, rising from 0.2129 in 2014 to 0.2807 in 2023. The Moran’s I index rises from the trough value of 0.0532 to the peak value of 0.0951 and then steadily declines to 0.0738, presenting a fluctuating trend of alternately increasing and decreasing development. The coupling coordination degree is more significant than 0.5 in 2023, which is at a highly developed stage. This study serves as a reference for the sustainable development of urban tourism.

Keywords

• entropy value method
• spatial autocorrelation method
• moran’s i index
• coupled coordination model
• ecological and economic resilience
• 68t05