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Spatial and Temporal Agglomeration Characteristics and Coupling Relationship of Urban Built-Up Land and Economic Hinterland—A Case Study of the Lower Yellow River, China

Author

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  • Yunfeng Cen

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Henan University, Kaifeng 475004, China
    Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng 475004, China)

  • Pengyan Zhang

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Henan University, Kaifeng 475004, China
    Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng 475004, China
    Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475001, China)

  • Yuhang Yan

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Henan University, Kaifeng 475004, China
    Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng 475004, China)

  • Wenlong Jing

    (Guangzhou Institute of Geography, Guangzhou 510070, China
    Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangzhou 510070, China
    Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou 510070, China)

  • Yu Zhang

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Henan University, Kaifeng 475004, China
    Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng 475004, China)

  • Yanyan Li

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Henan University, Kaifeng 475004, China
    Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng 475004, China)

  • Dan Yang

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Henan University, Kaifeng 475004, China
    Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng 475004, China)

  • Xin Liu

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Henan University, Kaifeng 475004, China
    Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng 475004, China)

  • Wenliang Geng

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Henan University, Kaifeng 475004, China
    Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng 475004, China)

  • Tianqi Rong

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Henan University, Kaifeng 475004, China
    Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng 475004, China)

Abstract

Clarifying the development relationship between urban built-up land and economic hinterland can provide decision support for regional sustainable development. Using the improved field model, geographic concentration and elasticity coefficient, and taking the lower reaches of the Yellow River as the study area, this study defines the scope of urban economic hinterland in the lower reaches of the Yellow River in China from 2005 to 2017, further analyzes the dynamic process of urban built-up land agglomeration and economic hinterland agglomeration, and reveals the spatial–temporal coupling relationships of urban built-up land expansion and economic hinterland development. The results revealed the following: (1) From 2005 to 2017, the spatial and temporal change pattern of the economic hinterland of each city in the lower reaches of the Yellow River had basically the same trend, showing a low degree of coincidence with the administrative divisions and obvious differences in scope and change; (2) The geographic concentration of built-up land showed a trend of centering on the cities of Zhengzhou and Jinan, spreading to the periphery, and gradually forming a high-value contiguous area in both cities. The spatial distribution patterns of the geographic concentration of economic hinterland are mainly manifested in Zhengzhou and Jinan, showing a circle structure of areas with “highest-low-higher” concentrations of economic hinterland moving away from the urban center; (3) The spatial–temporal coupling between the expansion of urban built-up land and the development of economic hinterland underwent an obvious transformation process. From 2005 to 2011, the coupling mode was mainly growth, and, from 2011 to 2017, it began to shift to extensive and intensive development. The coupling model of urban built-up land and economic hinterland in the lower reaches of the Yellow River has a good trend.

Suggested Citation

  • Yunfeng Cen & Pengyan Zhang & Yuhang Yan & Wenlong Jing & Yu Zhang & Yanyan Li & Dan Yang & Xin Liu & Wenliang Geng & Tianqi Rong, 2019. "Spatial and Temporal Agglomeration Characteristics and Coupling Relationship of Urban Built-Up Land and Economic Hinterland—A Case Study of the Lower Yellow River, China," Sustainability, MDPI, vol. 11(19), pages 1-16, September.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5218-:d:270034
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    References listed on IDEAS

    as
    1. Hakan Yilmazkuday, 2011. "Agglomeration And Trade: State‐Level Evidence From U.S. Industries," Journal of Regional Science, Wiley Blackwell, vol. 51(1), pages 139-166, February.
    2. Mark D. Partridge & Dan S. Rickman & Kamar Ali & M. Rose Olfert, 2008. "Lost in space: population growth in the American hinterlands and small cities," Journal of Economic Geography, Oxford University Press, vol. 8(6), pages 727-757, November.
    3. Crucini, Mario J. & Yilmazkuday, Hakan, 2014. "Understanding long-run price dispersion," Journal of Monetary Economics, Elsevier, vol. 66(C), pages 226-240.
    4. Cem Karayalcin & Hakan Yilmazkuday, 2015. "Trade and Cities," The World Bank Economic Review, World Bank, vol. 29(3), pages 523-549.
    5. Santos, Tiago A. & Guedes Soares, C., 2019. "Container terminal potential hinterland delimitation in a multi-port system subject to a regionalization process," Journal of Transport Geography, Elsevier, vol. 75(C), pages 132-146.
    6. Haiting Wang & Yuanzhi Zhang & Jin Yeu Tsou & Yu Li, 2017. "Surface Urban Heat Island Analysis of Shanghai (China) Based on the Change of Land Use and Land Cover," Sustainability, MDPI, vol. 9(9), pages 1-22, August.
    7. Todd M. Gabe & Jaison R. Abel, 2012. "Specialized knowledge and the geographic concentration of occupations," Journal of Economic Geography, Oxford University Press, vol. 12(2), pages 435-453, March.
    8. You, Kefei & Sarantis, Nicholas, 2012. "Structural breaks and the equilibrium real effective exchange rate of China: A NATREX approach," China Economic Review, Elsevier, vol. 23(4), pages 1146-1163.
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    Cited by:

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    2. Yu Liu & Zhuorui Yu & Daining Liu & Hao Zhang & Long Zhou & Guoqiang Shen & Chasong Zhu & Yiheng Sun & Yanran Wang, 2022. "Triple Spatial Effects of the Administrative Hierarchy on Urban Built-Up Areas in Fujian Province, China: Heterogeneity, Radiation, and Segmentation," Land, MDPI, vol. 11(12), pages 1-24, December.
    3. E. A. Titov, 2021. "Zones of Influence of the Cities of the Far East: Current State and Development Prospects," Regional Research of Russia, Springer, vol. 11(4), pages 569-577, October.
    4. Yu Zhang & Wenliang Geng & Pengyan Zhang & Erling Li & Tianqi Rong & Ying Liu & Jingwen Shao & Hao Chang, 2020. "Dynamic Changes, Spatiotemporal Differences and Factors Influencing the Urban Eco-Efficiency in the Lower Reaches of the Yellow River," IJERPH, MDPI, vol. 17(20), pages 1-19, October.
    5. Tianqi Rong & Pengyan Zhang & Wenlong Jing & Yu Zhang & Yanyan Li & Dan Yang & Jiaxin Yang & Hao Chang & Linna Ge, 2020. "Carbon Dioxide Emissions and Their Driving Forces of Land Use Change Based on Economic Contributive Coefficient (ECC) and Ecological Support Coefficient (ESC) in the Lower Yellow River Region (1995–20," Energies, MDPI, vol. 13(10), pages 1-18, May.

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