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Research on the Evolution of the Economic Spatial Pattern of Urban Agglomeration and Its Influencing Factors, Evidence from the Chengdu-Chongqing Urban Agglomeration of China

Author

Listed:
  • Rui Ding

    (College of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang 550025, China
    Key Laboratory of Green Fintech, Guizhou University of Finance and Economics, Guiyang 550025, China
    Co-first author.)

  • Jun Fu

    (College of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang 550025, China
    Key Laboratory of Green Fintech, Guizhou University of Finance and Economics, Guiyang 550025, China
    Co-first author.)

  • Yiling Zhang

    (College of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang 550025, China
    Key Laboratory of Green Fintech, Guizhou University of Finance and Economics, Guiyang 550025, China)

  • Ting Zhang

    (College of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang 550025, China
    Key Laboratory of Green Fintech, Guizhou University of Finance and Economics, Guiyang 550025, China)

  • Jian Yin

    (School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Xiangfang District, Harbin 150050, China)

  • Yiming Du

    (College of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang 550025, China
    Key Laboratory of Green Fintech, Guizhou University of Finance and Economics, Guiyang 550025, China)

  • Tao Zhou

    (College of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang 550025, China
    Key Laboratory of Green Fintech, Guizhou University of Finance and Economics, Guiyang 550025, China)

  • Linyu Du

    (College of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang 550025, China
    Key Laboratory of Green Fintech, Guizhou University of Finance and Economics, Guiyang 550025, China)

Abstract

To investigate the spatial evolution process of economic development in the urban agglomeration and its influencing factors, the network construction method, modified gravity model, geographic detector and Geographically Weighted Regression (GWR) model are used to analyze the intensity of urban association; then, the evolution of economic, spatial pattern and its influencing factors are further discussed, and the Chengdu-Chongqing urban agglomeration of China from 2005 to 2020 is studied as an example. The results show that: (1) the economically developed zones of the Chengdu-Chongqing urban agglomeration mainly concentrated in the core cities of Chengdu and the central city of Chongqing, and the region shows an uneven spatial pattern of economic development distribution. (2) The share of economic linkages with the central city of Chengdu and Chongqing as the twin cities is significant, the intensity of Chengdu and its neighboring cities is gradually decreasing, while the central city of Chongqing has increased, but it still has an insufficient influence on the peripheral areas. (3) The intensities and directions of the factors influencing economic development in the Chengdu-Chongqing urban agglomeration are different. The total output value of the secondary industry, total social fixed asset investment, the number of beds in health institutions, and road freight turnover are significant factors with consistently strong explanatory ability for economic development. The promotion effect of these four significant factors on economic development is mainly concentrated in the eastern and western regions of Chengdu-Chongqing urban agglomeration, while the inhibiting effect is mainly on the cities in the south and north. Based on this study, relevant recommendations are made to promote the coordinated development of the Chengdu-Chongqing urban agglomeration.

Suggested Citation

  • Rui Ding & Jun Fu & Yiling Zhang & Ting Zhang & Jian Yin & Yiming Du & Tao Zhou & Linyu Du, 2022. "Research on the Evolution of the Economic Spatial Pattern of Urban Agglomeration and Its Influencing Factors, Evidence from the Chengdu-Chongqing Urban Agglomeration of China," Sustainability, MDPI, vol. 14(17), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10969-:d:905049
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    References listed on IDEAS

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    1. Xiaodong Chen & Tian Wang & Xin Zheng & Fang Han & Zhaoping Yang, 2022. "The Structure and Evolution of the Tourism Economic Network of the Tibetan Plateau and Its Driving Factors," Land, MDPI, vol. 11(2), pages 1-18, February.
    2. Feng Lan & Huili Da & Haizhen Wen & Ying Wang, 2019. "Spatial Structure Evolution of Urban Agglomerations and Its Driving Factors in Mainland China: From the Monocentric to the Polycentric Dimension," Sustainability, MDPI, vol. 11(3), pages 1-20, January.
    3. Boyan Zhang & Mingming Wang, 2021. "How Will the Improvements of Electricity Supply Quality in Poor Regions Reduce the Regional Economic Gaps? A Case Study of China," Energies, MDPI, vol. 14(12), pages 1-18, June.
    4. Yu Chen & Qianqian Miao & Qian Zhou, 2022. "Spatiotemporal Differentiation and Driving Force Analysis of the High-Quality Development of Urban Agglomerations along the Yellow River Basin," IJERPH, MDPI, vol. 19(4), pages 1-21, February.
    5. Qiaowen Lin & Mengyu Xiang & Lu Zhang & Jinjiang Yao & Chao Wei & Sheng Ye & Hongmei Shao, 2021. "Research on Urban Spatial Connection and Network Structure of Urban Agglomeration in Yangtze River Delta—Based on the Perspective of Information Flow," IJERPH, MDPI, vol. 18(19), pages 1-20, September.
    6. Jingtao Wang & Haibin Liu & Di Peng & Qian Lv & Yu Sun & Hui Huang & Hao Liu, 2021. "The County-Scale Economic Spatial Pattern and Influencing Factors of Seven Urban Agglomerations in the Yellow River Basin—A Study Based on the Integrated Nighttime Light Data," Sustainability, MDPI, vol. 13(8), pages 1-22, April.
    7. Zhanzhong Tang & Zengxiang Zhang & Lijun Zuo & Xiao Wang & Shunguang Hu & Zijuan Zhu, 2020. "Spatial Econometric Analysis of the Relationship between Urban Land and Regional Economic Development in the Beijing–Tianjin–Hebei Coordinated Development Region," Sustainability, MDPI, vol. 12(20), pages 1-21, October.
    8. Seoyoung Yu & Donghyun Kim, 2021. "Changes in Regional Economic Resilience after the 2008 Global Economic Crisis: The Case of Korea," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
    9. Yang Li & Hua Shao & Nan Jiang & Ge Shi & Xin Cheng, 2018. "The Evolution of the Urban Spatial Pattern in the Yangtze River Economic Belt: Based on Multi-Source Remote Sensing Data," Sustainability, MDPI, vol. 10(8), pages 1-21, August.
    10. Mingdou Zhang & Hang Xiao & Dongqi Sun & Yu Li, 2018. "Spatial Differences in and Influences upon the Sustainable Development Level of the Yangtze River Delta Urban Agglomeration in China," Sustainability, MDPI, vol. 10(2), pages 1-13, February.
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