Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China

Research Article

Modeling and Measuring Economic Resilience of Small and Medium-Sized Cities Taking Chengdu-Chongqing Economic Circle city as an Example

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  • @INPROCEEDINGS{10.4108/eai.18-11-2022.2326782,
        author={Shi  Zheng and Qin  Gu},
        title={Modeling and Measuring Economic Resilience of Small and Medium-Sized Cities Taking Chengdu-Chongqing Economic Circle city as an Example},
        proceedings={Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China},
        publisher={EAI},
        proceedings_a={ICEMME},
        year={2023},
        month={2},
        keywords={small and medium-sized cities; urban resilience; industrial structure reform},
        doi={10.4108/eai.18-11-2022.2326782}
    }
    
  • Shi Zheng
    Qin Gu
    Year: 2023
    Modeling and Measuring Economic Resilience of Small and Medium-Sized Cities Taking Chengdu-Chongqing Economic Circle city as an Example
    ICEMME
    EAI
    DOI: 10.4108/eai.18-11-2022.2326782
Shi Zheng1,*, Qin Gu2
  • 1: School of Accounting, Sichuan University Jinjiang College, Meishan, China
  • 2: School of information and communication Engineering, UESTC, Chengdu, China
*Contact email: jjxysz@163.com

Abstract

Different cities will show different adaptability when facing external shocks. Cities with higher shock resistance are often the first to get out of the quagmire of recession and achieve industrial upgrading and industrial structural transformation. Therefore, there is increasing number of researches focusing on the economic resilience of first-tier cities. Due to the lack of data samples, there are few studies in small and medium-sized cities. This paper selects M City, a city in the Chengdu-Chongqing economic circle, and a small and medium-sized city close to Chengdu, the capital of Sichuan Province, as a case study. At the same time, this paper uses empirical research by selecting the GDP and consumer index as well as national and provincial data in 2019-2020, comparing the real economic output and actual output changes based on regression prediction model, using the linear weighting method and the global spatial autocorrelation index model to carry out an empirical measurement of the urban economic resilience. According to the results, it shows the relationship between the industrial agglomeration, industrial diversification and urban economic resilience.