Research on Urban Resilience and Influencing Factors of Chengdu-Chongqing Economic Circle

Abstract

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.

Regional differences and dynamic evolution of high-quality development in service industry: A case study of the Chengdu-Chongqing economic circle

“…The CCEC presents the 'Chengdu and Chongqing' twin core cities [19], which have a high level of H index . This finding is consistent with existing studies [51], which is rare for cities in the western region. However, other neighboring cities have a lower H index .…”

“…The CCEC (Fig 1) was first proposed in 2020, with a geographic range of 101˚56' ~109˚15'E, 27˚40' ~32˚19'N. The total area is 185000 square kilometers, including 27 districts (counties) in Chongqing and 15 cities in Sichuan Province [51,52]. The CCEC is divided into four urban agglomerations (metropolitan areas), as shown in Table 1.…”

An International Comparative Study on the Resilience of Urban Communities after COVID-19 Pandemic: A One-Year Case Study between Lanzhou, China and Sarajevo, Bosnia and Herzegovina

“…It is also suitable for large systems with large samples and many indexes. Moreover, its mathematical calculation process is moderate, and it is widely used in many fields, such as urban resilience evaluation [ 29 , 30 ], policy benefit evaluation [ 31 , 32 ], public health decision making [ 33 ], and so on.…”

Purchase intentions for cultural heritage products in E-commerce live streaming: An ABC attitude theory analysis

“…In recent years, the notion of cultural confidence has gained prominence, resulting in heightened attention and concerted efforts dedicated to the preservation and development of intangible cultural heritage. Furthermore, the integration of non-genetic innovation with the cultural and creative industry has stimulated the expansion of the market economy and driven progress in the cultural sector [ [1] , [2] , [3] , [4] ].…”