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Study on the Spatial Differentiation of the Populations on Both Sides of the “Qinling-Huaihe Line” in China

Author

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  • Jie Liu

    (School of Geographical Science, Northeast Normal University, Changchun 130024, China)

  • Qingshan Yang

    (School of Geographical Science, Northeast Normal University, Changchun 130024, China)

  • Jian Liu

    (School of Geographical Science, Northeast Normal University, Changchun 130024, China)

  • Yu Zhang

    (School of Geographical Science, Northeast Normal University, Changchun 130024, China)

  • Xiaojun Jiang

    (Department of Resources Management, Tangshan Normal University, Tangshan 063000, China)

  • Yangmeina Yang

    (School of Geographical Science, Northeast Normal University, Changchun 130024, China)

Abstract

The “Qinling-Huaihe Line” is the recognized geographical boundary between north and south China. In the context of a widening north–south gap, the large-scale population flow and the implementation of the regional coordinated development strategy, the north–south differentiation of the Chinese population requires further investigation. This study is based on national census data and uses quantitative methods, such as the centralization index, coefficient of variation, hot spot analysis and geodetector, as research methods. This study takes the Qinling-Huaihe Line as the dividing line and aims to extensively explore the spatial differentiation, evolutionary characteristics, and influential factors of the populations on both sides. The main conclusions are as follows: ① From 1982 to 2010, the population share ratio on the south and north sides of the Qinling-Huaihe Line remained at 58:42, showing a distribution pattern of “South more and North less”. ② The area within 200 km from the Qinling-Huaihe Line is a transition area with a stable distribution of the populations on both sides. ③ From 1982 to 2010, the concentration of the population distribution gradually increased on both sides, and the concentration of population on the south side was higher; the characteristics of population growth had significant spatial differences between the two sides. ④ The results calculated by the geodetector method show that socioeconomic factors are the main factors causing the spatial differentiation of the populations, while physical geographical environmental factors have a smaller influence and their influence continues to decrease.

Suggested Citation

  • Jie Liu & Qingshan Yang & Jian Liu & Yu Zhang & Xiaojun Jiang & Yangmeina Yang, 2020. "Study on the Spatial Differentiation of the Populations on Both Sides of the “Qinling-Huaihe Line” in China," Sustainability, MDPI, vol. 12(11), pages 1-25, June.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:11:p:4545-:d:366659
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    References listed on IDEAS

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    1. Doll, Christopher N.H. & Pachauri, Shonali, 2010. "Estimating rural populations without access to electricity in developing countries through night-time light satellite imagery," Energy Policy, Elsevier, vol. 38(10), pages 5661-5670, October.
    2. Manisha Jain & Artem Korzhenevych, 2019. "Counter–Urbanisation as the Growth of Small Towns: Is the Capital Region of India Prepared?," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 110(2), pages 156-172, April.
    3. Minmin Li & Biao He & Renzhong Guo & You Li & Yu Chen & Yong Fan, 2018. "Study on Population Distribution Pattern at the County Level of China," Sustainability, MDPI, vol. 10(10), pages 1-16, October.
    4. Fahao Wang & Weidong Lu & Jingyun Zheng & Shicheng Li & Xuezhen Zhang, 2020. "Spatially Explicit Mapping of Historical Population Density with Random Forest Regression: A Case Study of Gansu Province, China, in 1820 and 2000," Sustainability, MDPI, vol. 12(3), pages 1-16, February.
    5. Zhen You & Zhiming Feng & Yalin Lei & Yanzhao Yang & Fangzhou Li, 2017. "Regional Features and National Differences in Population Distribution in China’s Border Regions (2000–2015)," Sustainability, MDPI, vol. 9(3), pages 1-14, February.
    6. Qingxu Huang & Yang Yang & Yajing Li & Bin Gao, 2016. "A Simulation Study on the Urban Population of China Based on Nighttime Light Data Acquired from DMSP/OLS," Sustainability, MDPI, vol. 8(6), pages 1-13, May.
    7. Nan Dong & Xiaohuan Yang & Hongyan Cai & Fengjiao Xu, 2017. "Research on Grid Size Suitability of Gridded Population Distribution in Urban Area: A Case Study in Urban Area of Xuanzhou District, China," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-19, January.
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