Rural resilience is not only a comprehensive reflection of “thriving businesses, pleasant living environments, social etiquette and civility, effective governance, and prosperity”. It is also the unity of resilience in industry, ecology, culture, organization and livelihood. This paper uses the entropy weight-TOPSIS method to measure the rural resilience level in 31 regions in China and analyzes the configuration of influencing factors with the Fuzzy-set qualitative comparative analysis (fsQCA). The results of the study are as follows: (1) The level of rural resilience in China showed a stable increase from 2010 to 2019, but the overall level was low, with large regional disparities, showing a significant positive spatial correlation. (2) In the high-level rural resilience explanatory path, labor-driven, cultural-driven and market–labor–technology linkage-driven play a core role, while administrative force is not playing a significant role. In the explanation path of non-high level rural resilience, the market–labor absent, administrative–market absent and cultural absent hinder the improvement of rural resilience. In summary, we put forward the following suggestions. Policy renovation and support should be strengthened. Adaption to local conditions should be considered in order to achieve sustainable and differentiated development. Development should be coordinated and balanced in different regions so as to achieve an overall resilience level in rural areas.
There is a complex dynamic coupling interaction process between the ecological environment and urban resilience. It is important to clarify the coordination relationship and interactive response mechanism between them for sustainable development construction of the Yangtze River Economic Belt. The coupling coordination degree model and the panel vector autoregressive model (PVAR) were adopted to quantitatively examine the dynamic coordination and interactive response of the ecological environment and urban resilience in the Yangtze River Economic Belt from 2000 to 2019. Our study’s results are the following: (1) The ecological environment index and urban resilience index have a generally positive trend of fluctuation and increase during the study period but show significant regional differentiation. (2) The coupling coordination degree of ecological environment and urban resilience in the Yangtze River Economic Belt increased steadily, forming a spatial distribution pattern of “strong in the east and weak in the west”, with cities in the region mainly at the basic coordination level and generally lagging behind in development. (3) Both the ecological environment and urban resilience systems in the Yangtze River Economic Belt have significant self-reinforcing mechanisms, but the reinforcing effect is gradually decreasing, and the two positively promote each other, with urban resilience showing a more obvious promoting effect on the ecological environment.
Building resilient cities is the foundation and guarantee for the Chengdu-Chongqing economic circle to achieve high-quality and sustainable development. This research uses the entropy TOPSIS method to evaluate the urban resilience level of the Chengdu-Chongqing Economic Circle and uses the Fuzzy Set Qualitative Comparative Analysis (fsQCA) approach to analyze the configuration of contributing factors. Research indicates that the overall urban resilience level is relatively low, with more than 70% of the areas being less than 0.3. Overall, Chengdu (Level 1) and Chongqing central districts (Level 2) are 1–3 levels higher than their surrounding areas, which indicates insufficient spatial balance. The consistency scores of the single-antecedent condition necessity analyses were all less than 0.9, and the consistencies of all configuration analysis results were all greater than 0.8. This research proves that the creation of urban resilience is the result of a combination of factors, rather than the independent influence from any individual factor. Financial and innovation forces are the key driving factors that affect the level of urban resilience. The multiple driving model also helps to improve the level of resilience. The lack of cultural and innovation forces in Chongqing area has been proven to inhibit the level of urban resilience, and the lack of openness and political focus has resulted in a low level of resilience in the Sichuan area. We propose to promote the construction of a “dual core”, to create synergies between Chongqing and Chengdu, and to achieve balanced and integrated development in the entire region. We focus on the key factors affecting the resilience level of the Chengdu-Chongqing economic circle. In the future, we suggest further opening the market and implementing a developing strategy that is driven by economy and innovation. Regarding the construction of the Sichuan and the Chongqing areas, we encourage the two regions to adjust policies based on local conditions. First, the administration should solve the driving force deficiencies for development, then adopt differentiation strategies for regional development.
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