IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i14p11098-d1195273.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/14/11098/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/14/11098/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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).
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. Jorge Salas & Víctor Yepes, 2020. "Enhancing Sustainability and Resilience through Multi-Level Infrastructure Planning," IJERPH, MDPI, vol. 17(3), pages 1-22, February.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shi, Changfeng & Zhi, Jiaqi & Yao, Xiao & Zhang, Hong & Yu, Yue & Zeng, Qingshun & Li, Luji & Zhang, Yuxi, 2023. "How can China achieve the 2030 carbon peak goal—a crossover analysis based on low-carbon economics and deep learning," Energy, Elsevier, vol. 269(C).
    2. Zheng, Jiali & Mi, Zhifu & Coffman, D'Maris & Milcheva, Stanimira & Shan, Yuli & Guan, Dabo & Wang, Shouyang, 2019. "Regional development and carbon emissions in China," Energy Economics, Elsevier, vol. 81(C), pages 25-36.
    3. Ang, B.W. & Goh, Tian, 2019. "Index decomposition analysis for comparing emission scenarios: Applications and challenges," Energy Economics, Elsevier, vol. 83(C), pages 74-87.
    4. Lizhan Cao & Hui Wang, 2022. "The Slowdown in China’s Energy Consumption Growth in the “New Normal” Stage: From Both National and Regional Perspectives," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    5. Zheng, Shuhong & Yang, Juan & Yu, Shiwei, 2021. "How renewable energy technological innovation promotes renewable power generation: Evidence from China's provincial panel data," Renewable Energy, Elsevier, vol. 177(C), pages 1394-1407.
    6. Qiong Chen & Hongyu Zhang & Yui-Yip Lau & Tianni Wang & Wen Wang & Guangsheng Zhang, 2023. "Climate Change, Carbon Peaks, and Carbon Neutralization: A Bibliometric Study from 2006 to 2023," Sustainability, MDPI, vol. 15(7), pages 1-12, March.
    7. Mariusz Czupich & Justyna Łapińska & Vojtěch Bartoš, 2022. "Environmental Sustainability Assessment of the European Union’s Capital Cities," IJERPH, MDPI, vol. 19(7), pages 1-18, April.
    8. Xu, Guangyue & Dong, Haoyun & Xu, Zhenci & Bhattarai, Nishan, 2022. "China can reach carbon neutrality before 2050 by improving economic development quality," Energy, Elsevier, vol. 243(C).
    9. Olatunji A. Shobande & Simplice A. Asongu, 2021. "The rise and fall of the energy-carbon Kuznets curve: Evidence from Africa," Working Papers 21/069, European Xtramile Centre of African Studies (EXCAS).
    10. Valentina Costa & Federico Campanini, 2024. "Community-Centred Energy Planning: Within and beyond Administrative Borders," Sustainability, MDPI, vol. 16(5), pages 1-26, March.
    11. Ruru Xing & Fei Wang & Xiaoyu Cai & Ning Chen & Tao Yang & Bo Peng, 2023. "A Regional Road Network Capacity Estimation Model for Mountainous Cities Based on Auxiliary Map," Sustainability, MDPI, vol. 15(14), pages 1-27, July.
    12. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Peak of CO2 emissions in various sectors and provinces of China: Recent progress and avenues for further research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 813-833.
    13. Yao Wang & Qiang Yang & Xuenan Wu & Ruichen Wang & Tilei Gao & Yuntong Liu, 2023. "A Study of Trends in Low-Energy Development Patterns in China: A Data-Driven Approach," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    14. Karim, Sitara & Appiah, Michael & Naeem, Muhammad Abubakr & Lucey, Brian M. & Li, Mingxing, 2022. "Modelling the role of institutional quality on carbon emissions in Sub-Saharan African countries," Renewable Energy, Elsevier, vol. 198(C), pages 213-221.
    15. Xu, Guangyue & Schwarz, Peter & Yang, Hualiu, 2020. "Adjusting energy consumption structure to achieve China's CO2 emissions peak," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    16. Yajuan Wang & Xi Wu & Hongbo Zhu, 2022. "Spatio-Temporal Pattern and Spatial Disequilibrium of Cultivated Land Use Efficiency in China: An Empirical Study Based on 342 Prefecture-Level Cities," Land, MDPI, vol. 11(10), pages 1-15, October.
    17. Rumeng Yin & Xin Li & Bin Fang, 2023. "The Relationship between the Spatial and Temporal Evolution of Land Use Function and the Level of Economic and Social Development in the Yangtze River Delta," IJERPH, MDPI, vol. 20(3), pages 1-23, January.
    18. Zhang, Boling & Wang, Qian & Wang, Sixia & Tong, Ruipeng, 2023. "Coal power demand and paths to peak carbon emissions in China: A provincial scenario analysis oriented by CO2-related health co-benefits," Energy, Elsevier, vol. 282(C).
    19. Mrinal Saikia & Ratul Mahanta, 2024. "Institutions’ adaptability in reducing vulnerability: a study in the char lands of Assam," Environment Systems and Decisions, Springer, vol. 44(4), pages 810-835, December.
    20. Guo, Xuepeng & Pang, Jun, 2023. "Analysis of provincial CO2 emission peaking in China: Insights from production and consumption," Applied Energy, Elsevier, vol. 331(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11098-:d:1195273. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.