IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i9p5105-d800636.html
   My bibliography  Save this article

Spatiotemporal Heterogeneity and Driving Mechanism of Co-Ordinated Urban Development: A Case Study of the Central Area of the Yangtze River Delta, China

Author

Listed:
  • Fei Tao

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    School of Geographical Sciences, Nantong University, Nantong 226007, China
    Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

  • Guoan Tang

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

  • Yihao Wu

    (School of Geographical Sciences, Nantong University, Nantong 226007, China)

  • Tong Zhou

    (School of Geographical Sciences, Nantong University, Nantong 226007, China)

Abstract

Urban system is a complex entirety composed of various subsystems, including land, population, economy, and society. The coordinated development of these subsystems is important for ensuring the advancement and improvement of the new urbanization process. Quantitatively evaluating the coordinated development level of a city or urban agglomeration is conducive to scientific urban planning and decision-making. In this paper, we constructed a multi-index evaluation system that includes land urbanization, population urbanization, economic urbanization, and social urbanization indicators to assess the degree of coordinated urbanization development. Experiments were then conducted in the central area of the Yangtze River Delta (YRD) from 2000 to 2019 using remote sensing images and statistical yearbook data. The driving factors of the urbanization evolution were also evaluated by the Geographically and Temporally Weighted Regression (GTWR) model. The conclusions were drawn as follows: (1) The degree of coordinated urbanization development in the study area was constantly improving, from an extremely uncoordinated level in 2000 to a high-quality coordinated level in 2019; (2) During the period 2000–2019, the distribution of the cities with high coordinated development levels presented a northwest-southeast pattern, and the gravity center of the region constantly moved to the south; (3) In terms of the impact of various urbanization subsystems on the coordinated urbanization development in the YRD, economic urbanization had the greatest impact, while land urbanization had the least impact. (4) In connection with the problems existing in different dimensions of urbanization, we put forward corresponding development countermeasures and path suggestions based on the actual situation of the study area.

Suggested Citation

  • Fei Tao & Guoan Tang & Yihao Wu & Tong Zhou, 2022. "Spatiotemporal Heterogeneity and Driving Mechanism of Co-Ordinated Urban Development: A Case Study of the Central Area of the Yangtze River Delta, China," Sustainability, MDPI, vol. 14(9), pages 1-23, April.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5105-:d:800636
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/9/5105/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/9/5105/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zheng, Wei & Walsh, Patrick Paul, 2019. "Economic growth, urbanization and energy consumption — A provincial level analysis of China," Energy Economics, Elsevier, vol. 80(C), pages 153-162.
    2. Yanjing Zhang & Zhengguo Su & Guan Li & Yuefei Zhuo & Zhongguo Xu, 2018. "Spatial-Temporal Evolution of Sustainable Urbanization Development: A Perspective of the Coupling Coordination Development Based on Population, Industry, and Built-Up Land Spatial Agglomeration," Sustainability, MDPI, vol. 10(6), pages 1-20, May.
    3. Dong Xu & Guolin Hou, 2019. "The Spatiotemporal Coupling Characteristics of Regional Urbanization and Its Influencing Factors: Taking the Yangtze River Delta as an Example," Sustainability, MDPI, vol. 11(3), pages 1-19, February.
    4. Bin Wang & Wenzhong Shi & Zelang Miao, 2015. "Confidence Analysis of Standard Deviational Ellipse and Its Extension into Higher Dimensional Euclidean Space," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-17, March.
    5. Tiangui Lv & Li Wang & Xinmin Zhang & Hualin Xie & Hua Lu & Hongyi Li & Wangda Liu & Yanwei Zhang, 2019. "Coupling Coordinated Development and Exploring Its Influencing Factors in Nanchang, China: From the Perspectives of Land Urbanization and Population Urbanization," Land, MDPI, vol. 8(12), pages 1-17, November.
    6. Huilian Han & Hui Li, 2020. "Coupling Coordination Evaluation between Population and Land Urbanization in Ha-Chang Urban Agglomeration," Sustainability, MDPI, vol. 12(1), pages 1-23, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qing Wang & Yuhang Xiao, 2022. "Has Urban Construction Land Achieved Low-Carbon Sustainable Development? A Case Study of North China Plain, China," Sustainability, MDPI, vol. 14(15), pages 1-29, August.
    2. Siliang Guo & Heng Ma, 2022. "Can the Spatial Function Division of Urbanization Promote Regional Coordinated Development? Evidence from the Yangtze River Economic Belt in China," Sustainability, MDPI, vol. 14(12), pages 1-28, June.

    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. Qingshan Kong & Haiyang Kong & Silin Miao & Qin Zhang & Jiangang Shi, 2022. "Spatial Coupling Coordination Evaluation between Population Growth, Land Use and Housing Supply of Urban Agglomeration in China," Land, MDPI, vol. 11(9), pages 1-18, August.
    2. Kui Liu & Jian Wang & Xiang Kang & Jingming Liu & Zheyi Xia & Kai Du & Xuexin Zhu, 2022. "Spatio-Temporal Analysis of Population-Land-Economic Urbanization and Its Impact on Urban Carbon Emissions in Shandong Province, China," Land, MDPI, vol. 11(2), pages 1-20, February.
    3. Yan Xin & Dongchuan Wang & Lihui Zhang & Yingyi Ma & Xing Chen & Haiqing Wang & Hongyi Wang & Kangjian Wang & Hui Long & Hua Chai & Jianshe Gao, 2022. "Cooperative analysis of infrastructure perfection and residents’ living standards in poverty-stricken counties in Qinghai Province," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3687-3703, March.
    4. Beibei Hu & Airong Xu & Xianlei Dong, 2022. "Evaluating the Comprehensive Development Level and Coordinated Relationships of Urban Multimodal Transportation: A Case Study of China’s Major Cities," Land, MDPI, vol. 11(11), pages 1-28, November.
    5. Jingkun Niu & Haifeng Du, 2021. "Coordinated Development Evaluation of Population–Land–Industry in Counties of Western China: A Case Study of Shaanxi Province," Sustainability, MDPI, vol. 13(4), pages 1-25, February.
    6. Yingshi Shang & Shuguang Liu, 2021. "Spatial-Temporal Coupling Coordination Relationship between Urbanization and Green Development in the Coastal Cities of China," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    7. Xuanxuan Xia & Kexin Lin & Yang Ding & Xianlei Dong & Huijun Sun & Beibei Hu, 2020. "Research on the Coupling Coordination Relationships between Urban Function Mixing Degree and Urbanization Development Level Based on Information Entropy," IJERPH, MDPI, vol. 18(1), pages 1-24, December.
    8. Shuangshuang Liu & Qipeng Liao & Yuan Liang & Zhifei Li & Chunbo Huang, 2021. "Spatio–Temporal Heterogeneity of Urban Expansion and Population Growth in China," IJERPH, MDPI, vol. 18(24), pages 1-26, December.
    9. Kunjie Peng & Xiaorong He & Chunxiao Xu, 2023. "Coupling Coordination Relationship and Dynamic Response between Urbanization and Urban Resilience: Case of Yangtze River Delta," Sustainability, MDPI, vol. 15(3), pages 1-25, February.
    10. Huilian Han & Hui Li, 2020. "Coupling Coordination Evaluation between Population and Land Urbanization in Ha-Chang Urban Agglomeration," Sustainability, MDPI, vol. 12(1), pages 1-23, January.
    11. Lin, Boqiang & Zhou, Yicheng, 2021. "How does vertical fiscal imbalance affect the upgrading of industrial structure? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    12. Zhang, Zuo & Li, Jiaming, 2022. "Spatial suitability and multi-scenarios for land use: Simulation and policy insights from the production-living-ecological perspective," Land Use Policy, Elsevier, vol. 119(C).
    13. Elvis Dze Achuo & Tii N. Nchofoung & Simplice A. Asongu & Gildas Dohba Dinga, 2021. "Unravelling the Mysteries of Underdevelopment in Africa," Research Africa Network Working Papers 21/073, Research Africa Network (RAN).
    14. Xuesong Sun & Zaisheng Zhang, 2021. "Coupling and Coordination Level of the Population, Land, Economy, Ecology and Society in the Process of Urbanization: Measurement and Spatial Differentiation," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    15. Tingzhu Li & Ran Liu & Wei Qi, 2019. "Regional Heterogeneity of Migrant Rent Affordability Stress in Urban China: A Comparison between Skilled and Unskilled Migrants at Prefecture Level and Above," Sustainability, MDPI, vol. 11(21), pages 1-26, October.
    16. Ayoub Zeraibi & Daniel Balsalobre-Lorente & Khurram Shehzad, 2021. "Testing the Environmental Kuznets Curve Hypotheses in Chinese Provinces: A Nexus between Regional Government Expenditures and Environmental Quality," IJERPH, MDPI, vol. 18(18), pages 1-16, September.
    17. Li Li & Xiaoping Zhou & Lan Yang & Jinglong Duan & Zhuo Zeng, 2022. "Spatio-Temporal Characteristics and Influencing Factors of Ecological Risk in China’s North–South Transition Zone," Sustainability, MDPI, vol. 14(9), pages 1-17, May.
    18. Hasinat Raquiba & Zuaini Ishak, 2020. "Sustainability Reporting Practices in the Energy Sector of Bangladesh," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 508-516.
    19. Xuesong Zhang & Zijin Xu, 2021. "Functional Coupling Degree and Human Activity Intensity of Production–Living–Ecological Space in Underdeveloped Regions in China: Case Study of Guizhou Province," Land, MDPI, vol. 10(1), pages 1-13, January.
    20. Yanni Xiong & Changyou Li & Mengzhi Zou & Qian Xu, 2022. "Investigating into the Coupling and Coordination Relationship between Urban Resilience and Urbanization: A Case Study of Hunan Province, China," Sustainability, MDPI, vol. 14(10), pages 1-26, May.

    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:14:y:2022:i:9:p:5105-:d:800636. 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.