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A Study on the Spatial-Temporal Evolution and Problem Area Identification of High-Quality Urban Development in the Central Region

Author

Listed:
  • Meilin Zhao

    (School of Management, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Rui Zhang

    (School of Management, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Hong Liu

    (School of Management, China University of Mining and Technology (Beijing), Beijing 100083, China
    Energy Research Institute, Chinese Academy of Macroeconomic Research, Beijing 100038, China)

  • Xiaoyi Zhang

    (School of Management, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Yue Wang

    (School of Management, China University of Mining and Technology (Beijing), Beijing 100083, China)

Abstract

The central region is an important strategic area that encompasses the east and the west and connects the south and the north. Promoting high-quality urban development in the central region plays a positive role in comprehensively upgrading the central rising strategy and realizing coordinated regional development. Based on the measurement index system result of the level of high-quality urban development in the central region, this study describes the regional gap and its dynamic evolution through the Dagum Gini coefficient and the kernel density function. In addition, it analyzes the causes of the gap in high-quality development of cities in the central region from the perspective of problem area identification. The result shows that the overall high-quality development of cities in the central region is increasing, with high-level cities clustering around the core cities. The relative regional disparities continue to narrow, but the absolute differences tend to expand. The super-variable density tends to be the main source of the overall difference, and the high-quality development of cities in each region is positively spatial correlated with each other. At present, the lagging economic development and outcomes sharing are the main obstacles to the high-quality development of cities in the central region.

Suggested Citation

  • Meilin Zhao & Rui Zhang & Hong Liu & Xiaoyi Zhang & Yue Wang, 2023. "A Study on the Spatial-Temporal Evolution and Problem Area Identification of High-Quality Urban Development in the Central Region," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11098-:d:1195273
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    References listed on IDEAS

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    1. Yu, Shiwei & Zheng, Shuhong & Li, Xia & Li, Longxi, 2018. "China can peak its energy-related carbon emissions before 2025: Evidence from industry restructuring," Energy Economics, Elsevier, vol. 73(C), pages 91-107.
    2. Jorge Salas & Víctor Yepes, 2020. "Enhancing Sustainability and Resilience through Multi-Level Infrastructure Planning," IJERPH, MDPI, vol. 17(3), pages 1-22, February.
    3. Shasha He & Bin Fang & Xue Xie, 2022. "Temporal and Spatial Evolution and Driving Mechanism of Urban Ecological Welfare Performance from the Perspective of High-Quality Development: A Case Study of Jiangsu Province, China," Land, MDPI, vol. 11(9), pages 1-24, September.
    4. Yangfei Huang & Xiaomin Jiang & Yong Chen, 2023. "Analysis of the Spatial-Temporal Evolution of Urbanization Quality in Zhejiang Province, China," IJERPH, MDPI, vol. 20(5), pages 1-15, February.
    5. Boyang Zhou & Nan Wang & Zhen Zhang & Wenxin Liu & Weinan Lu & Ruifan Xu & Linfei Li, 2022. "Research on the Spatial-Temporal Differentiation and Path Analysis of China’s Provincial Regions’ High-Quality Economic Development," Sustainability, MDPI, vol. 14(10), pages 1-26, May.
    6. Li He & Jian’ge Tao & Ping Meng & Dan Chen & Meng Yan & Lászlo Vasa, 2021. "Analysis of socio-economic spatial structure of urban agglomeration in China based on spatial gradient and clustering," Oeconomia Copernicana, Institute of Economic Research, vol. 12(3), pages 789-819, September.
    7. Wang, You & Gong, Xu, 2022. "Analyzing the difference evolution of provincial energy consumption in China using the functional data analysis method," Energy Economics, Elsevier, vol. 105(C).
    8. Zhang, Rui & Qie, Xiaotong & Hu, Yanyong & Chen, Xue, 2022. "Does de-capacity policy promote the efficient and green development of the coal industry? –Based on the evidence of China," Resources Policy, Elsevier, vol. 77(C).
    9. Tian Ma & Yisheng Liu & Meng Yang, 2022. "Spatial-Temporal Heterogeneity for Commercial Building Carbon Emissions in China: Based the Dagum Gini Coefficient," Sustainability, MDPI, vol. 14(9), pages 1-18, April.
    10. Yunwei Li & Wenjing Long & Xiao Ning & Yumeng Zhu & Yifan Guo & Zhou Huang & Yu Hao, 2022. "How can China's sustainable development be damaged in consequence of financial misallocation? Analysis from the perspective of regional innovation capability," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3649-3668, November.
    11. Gnidchenko, Andrey A., 2021. "Structural transformation and quality ladders: Evidence from the new Theil's decomposition," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 281-291.
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