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A spatial differentiation study on comprehensive carrying capacity of the urban agglomeration in the Yangtze River Economic Belt

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  • Tian, Yuan
  • Sun, Chuanwang

Abstract

Covering a large area and population, urban agglomeration (UA) is an advanced and competitive form of urbanization but brings serious unbalanced economic growth and uncoordinated sustainability. In this paper, we design an evaluation framework to assess the comprehensive carrying capacity of the UA (UCC) in the Yangtze River Economic Belt (YREB), involving its river-basin specificities. A series of spatial analyses are conducted to reveal the spatial differentiation of sustainable development. The results show that the comprehensive UCC has a fluctuating downward trend, and the UCC compositions of four sub-systems contribute differently. There is a large gap in UCC value among the five sub-UAs in the YREB, which indicates that the unbalanced and diverse sustainable development in UAs cannot be neglected. From a dynamic perspective, the spatial differentiation is increasingly noticeable, and the pattern of spatial clustering transforms into discrete small areas. This transformation implies that many hot spot cities have preferred coordinated cooperation within a small region rather than the whole UA in recent years. Some policy suggestions should be further provided. Our study makes contributions to UA's sustainable development research, and some findings could be used as the reference for future decision-making.

Suggested Citation

  • Tian, Yuan & Sun, Chuanwang, 2018. "A spatial differentiation study on comprehensive carrying capacity of the urban agglomeration in the Yangtze River Economic Belt," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 11-22.
  • Handle: RePEc:eee:regeco:v:68:y:2018:i:c:p:11-22
    DOI: 10.1016/j.regsciurbeco.2017.10.014
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    References listed on IDEAS

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    1. Downs, Joni A. & Gates, Robert J. & Murray, Alan T., 2008. "Estimating carrying capacity for sandhill cranes using habitat suitability and spatial optimization models," Ecological Modelling, Elsevier, vol. 214(2), pages 284-292.
    2. Eric Heikkila & Ying Xu, 2014. "Seven Prototypical Chinese Cities," Urban Studies, Urban Studies Journal Limited, vol. 51(4), pages 827-847, March.
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    Cited by:

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    2. Junyuan Zhao & Shengjie Wang & Jiayue Li, 2023. "Study on the Spatial–Temporal Pattern and Driving Mechanism of Tourism Eco-Security in the Yellow River Basin," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    3. Cheng Lu & Shuang Li & Jiao Liu & Kun Xu, 2022. "Coupling Coordination and Dynamic Response Analysis of New-Type Urbanization, Urban Infrastructure and Urban Environment—A Case Study of the Jiaodong Economic Circle," IJERPH, MDPI, vol. 19(22), pages 1-23, November.
    4. Shen, Liyin & Cheng, Guangyu & Du, Xiaoyun & Meng, Conghui & Ren, Yitian & Wang, Jinhuan, 2022. "Can urban agglomeration bring “1 + 1 > 2Effect”? A perspective of land resource carrying capacity," Land Use Policy, Elsevier, vol. 117(C).
    5. Shiwei Yu & Xing Hu & Xuejiao Zhang & Zhenxi Li, 2019. "Convergence of per capita carbon emissions in the Yangtze River Economic Belt, China," Energy & Environment, , vol. 30(5), pages 776-799, August.
    6. Ren, Yi & Tian, Yuan & Xiao, Xue, 2022. "Spatial effects of transportation infrastructure on the development of urban agglomeration integration: Evidence from the Yangtze River Economic Belt," Journal of Transport Geography, Elsevier, vol. 104(C).
    7. Yu Liu & Chen Zeng & Huatai Cui & Yanhua Song, 2018. "Sustainable Land Urbanization and Ecological Carrying Capacity: A Spatially Explicit Perspective," Sustainability, MDPI, vol. 10(9), pages 1-16, August.
    8. Yikun Su & Hong Xue & Huakang Liang, 2019. "An Evaluation Model for Urban Comprehensive Carrying Capacity: An Empirical Case from Harbin City," IJERPH, MDPI, vol. 16(3), pages 1-25, January.
    9. Huimin Xu & Shougeng Hu & Xi Li, 2023. "Urban Distribution and Evolution of the Yangtze River Economic Belt from the Perspectives of Urban Area and Night-Time Light," Land, MDPI, vol. 12(2), pages 1-21, January.

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