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Spatial Coupling of Population and Economic Densities and the Effect of Topography in Anhui Province, China, at a Grid Scale

Author

Listed:
  • Zhen Yang

    (School of Spatial Informatics and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, China
    Key Laboratory of Aviation-Aerospace-Ground Cooperative Monitoring and Early Warning of Coal Mining-Induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan 232001, China
    Coal Industry Engineering Research Center of Mining Area Environmental and Disaster Cooperative Monitoring, Anhui University of Science and Technology, Huainan 232001, China)

  • Yang Hong

    (Geological Team of 324, Bureau Geology and Mineral Exploration of Anhui Province, Chizhou 247100, China)

  • Guofang Zhai

    (School of Spatial Informatics and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, China)

  • Shihang Wang

    (School of Spatial Informatics and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, China
    Key Laboratory of Aviation-Aerospace-Ground Cooperative Monitoring and Early Warning of Coal Mining-Induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan 232001, China
    Coal Industry Engineering Research Center of Mining Area Environmental and Disaster Cooperative Monitoring, Anhui University of Science and Technology, Huainan 232001, China)

  • Mingsong Zhao

    (School of Spatial Informatics and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, China
    Key Laboratory of Aviation-Aerospace-Ground Cooperative Monitoring and Early Warning of Coal Mining-Induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan 232001, China
    Coal Industry Engineering Research Center of Mining Area Environmental and Disaster Cooperative Monitoring, Anhui University of Science and Technology, Huainan 232001, China)

  • Chao Liu

    (School of Spatial Informatics and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, China
    Key Laboratory of Aviation-Aerospace-Ground Cooperative Monitoring and Early Warning of Coal Mining-Induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan 232001, China
    Coal Industry Engineering Research Center of Mining Area Environmental and Disaster Cooperative Monitoring, Anhui University of Science and Technology, Huainan 232001, China)

  • Xuexiang Yu

    (School of Spatial Informatics and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, China
    Key Laboratory of Aviation-Aerospace-Ground Cooperative Monitoring and Early Warning of Coal Mining-Induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan 232001, China
    Coal Industry Engineering Research Center of Mining Area Environmental and Disaster Cooperative Monitoring, Anhui University of Science and Technology, Huainan 232001, China)

Abstract

The spatial coupling of population and economy is an important indicator that reflects regional differences and measures the coordination degree of industrial layouts and environments. To explore the spatial coupling of population and economic densities and the effect of topography in Anhui Province at a grid scale, a land-use impact model was used to spatialize socio-economic indicators in Anhui Province using 2020 county-level data. Geographical concentration and coupling index were used to quantify the spatial relationship between population and economic densities. Then the effects of topography were assessed. The results show the following: (1) the accuracy of the regression models for the individual counties is generally better than that of the models for the whole region. The population and economic densities predicted by the proposed model reflect actual conditions. (2) Topography has a stronger effect on population density and primary industry density than on secondary and tertiary industry density. Slope has the strongest effect on population and economic densities, followed by topographic relief and elevation. (3) A spatial correlation exists between topographic factors and population and economic densities. Although the spatial relationship between population and economic densities is predominantly of the balanced development type in regions with complex topography, population and economic densities are significantly lower in regions with complex rather than flat topography. In addition, economic development in the northern Anhui region, a flat region, lags behind population aggregation. Efforts should be made to improve the economic level of the southern and northern Anhui regions and the Dabie Mountain region in western Anhui.

Suggested Citation

  • Zhen Yang & Yang Hong & Guofang Zhai & Shihang Wang & Mingsong Zhao & Chao Liu & Xuexiang Yu, 2023. "Spatial Coupling of Population and Economic Densities and the Effect of Topography in Anhui Province, China, at a Grid Scale," Land, MDPI, vol. 12(12), pages 1-22, December.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:12:p:2128-:d:1292477
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    References listed on IDEAS

    as
    1. Enxiang Cai & Xinyu Zhao & Shengnan Zhang & Ling Li, 2023. "Spatial Agglomeration and Coupling Coordination of Population, Economics, and Construction Land in Chinese Prefecture-Level Cities from 2010 to 2020," Land, MDPI, vol. 12(8), pages 1-15, August.
    2. Eda Ustaoglu & Brendan Williams, 2022. "Institutional Settings and Effects on Agricultural Land Conversion: A Global and Spatial Analysis of European Regions," Land, MDPI, vol. 12(1), pages 1-35, December.
    3. Yazhu Wang & Hui Zou & Xuejun Duan & Lingqing Wang, 2022. "Coordinated Evolution and Influencing Factors of Population and Economy in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(21), pages 1-19, November.
    4. Samuel Tumwesigye & Matthias Vanmaercke & Lisa-Marie Hemerijckx & Alfonse Opio & Jean Poesen & Ronald Twongyirwe & Anton Van Rompaey, 2023. "Spatial patterns of urbanisation in Sub-Saharan Africa: A case study of Uganda," Development Southern Africa, Taylor & Francis Journals, vol. 40(1), pages 1-21, January.
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