IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i12p9415-d1169027.html
   My bibliography  Save this article

Population Dynamics and Its Driving Forces in China from 2000 to 2020

Author

Listed:
  • Zhen Yang

    (School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China)

  • Xiangjun Ou

    (School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China)

  • Huxiao Zhu

    (School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China)

Abstract

Exploring population dynamics and its driving factors has important practical significance for guiding reasonable population distribution. In view of this, this paper systematically analyzes the population dynamics and driving factors in China based on the latest three decennial censuses, using research methods such as the population concentration index, the center of gravity model, relative change in population density and multiple linear regression. The conclusions are as follows: (1) China’s population distribution is uneven, and the trend of polarization in population distribution is increasingly evident. The spatial differences in population growth are shifting from east–west to north–south. Under the influence of the “core–periphery effect”, more people are gathering in a few large cities. (2) The factors affecting population changes have obvious temporal variability: terrain and temperature have an increasing impact on China’s population changes. Temperature in particular has become an important factor in China’s population changes. Population changes are gradually shifting from being driven by a single economic factor to being driven jointly by social and economic factors. (3) The factors affecting population changes also have obvious spatial heterogeneity: temperature affects population changes in both the eastern and central–western regions, while terrain only affects population changes in the central–western regions. Currently, population changes in the economically developed eastern region are more driven by economic factors, while the central–western regions are driven by both economic and social factors. Central cities in the central–western regions are experiencing accelerated population agglomeration, while central cities in the eastern region are losing their ability to attract population agglomeration. The above conclusion basically clarifies the patterns and influencing factors of China’s population changes since the 21st century, which can provide a useful reference for future population development and regional planning.

Suggested Citation

  • Zhen Yang & Xiangjun Ou & Huxiao Zhu, 2023. "Population Dynamics and Its Driving Forces in China from 2000 to 2020," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9415-:d:1169027
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/12/9415/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/12/9415/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anping Chen & Mark D. Partridge, 2013. "When are Cities Engines of Growth in China? Spread and Backwash Effects across the Urban Hierarchy," Regional Studies, Taylor & Francis Journals, vol. 47(8), pages 1313-1331, September.
    2. Rosenthal, Stuart S. & Strange, William C., 2004. "Evidence on the nature and sources of agglomeration economies," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 49, pages 2119-2171, Elsevier.
    3. Yanting Tang & Jinlong Gao & Wen Chen, 2022. "The Spatial-Temporal Evolution of Population in the Yangtze River Delta, China: An Urban Hierarchy Perspective," Land, MDPI, vol. 11(10), pages 1-15, October.
    4. Richard F. Muth, 1961. "The Spatial Structure Of The Housing Market," Papers in Regional Science, Wiley Blackwell, vol. 7(1), pages 207-220, January.
    5. Cuiling Liu & Fahui Wang & Yaping Xu, 2019. "Habitation environment suitability and population density patterns in China: A regionalization approach," Growth and Change, Wiley Blackwell, vol. 50(1), pages 184-200, March.
    6. Chun-Chung Au & J. Vernon Henderson, 2006. "Are Chinese Cities Too Small?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(3), pages 549-576.
    7. Denise Hare, 1999. "'Push' versus 'pull' factors in migration outflows and returns: Determinants of migration status and spell duration among China's rural population," Journal of Development Studies, Taylor & Francis Journals, vol. 35(3), pages 45-72.
    8. Xiaohuan Yang & Hanqing Ma, 2009. "Natural Environment Suitability of China and Its Relationship with Population Distributions," IJERPH, MDPI, vol. 6(12), pages 1-15, December.
    Full references (including those not matched with items on IDEAS)

    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. Yanting Tang & Jinlong Gao & Wen Chen, 2022. "The Spatial-Temporal Evolution of Population in the Yangtze River Delta, China: An Urban Hierarchy Perspective," Land, MDPI, vol. 11(10), pages 1-15, October.
    2. Andrés Rodríguez‐Pose & Min Zhang, 2019. "Government institutions and the dynamics of urban growth in China," Journal of Regional Science, Wiley Blackwell, vol. 59(4), pages 633-668, September.
    3. Pierre-Philippe Combes & Sylvie Démurger & Shi Li, 2013. "Urbanisation and Migration Externalities in China," Working Papers 1303, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    4. Philippe Martin & Thierry Mayer & Florian Mayneris, 2008. "Spatial Concentration and Firm-Level Productivity in France," Sciences Po publications 6858, Sciences Po.
    5. Emanuela Marrocu & Raffaele Paci & Stefano Usai, 2013. "Productivity Growth In The Old And New Europe: The Role Of Agglomeration Externalities," Journal of Regional Science, Wiley Blackwell, vol. 53(3), pages 418-442, August.
    6. Li, Jiewei & Lu, Ming & Lu, Tianyi, 2022. "Constructing compact cities: How urban regeneration can enhance growth and relieve congestion," Economic Modelling, Elsevier, vol. 113(C).
    7. Lu, Jiangyong & Tao, Zhigang, 2009. "Trends and determinants of China's industrial agglomeration," Journal of Urban Economics, Elsevier, vol. 65(2), pages 167-180, March.
    8. Oshiro, Jun & Sato, Yasuhiro, 2021. "Industrial structure in urban accounting," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    9. Liu, Crocker H. & Rosenthal, Stuart S. & Strange, William C., 2020. "Employment density and agglomeration economies in tall buildings," Regional Science and Urban Economics, Elsevier, vol. 84(C).
    10. Jedwab, Remi & Vollrath, Dietrich, 2015. "Urbanization without growth in historical perspective," Explorations in Economic History, Elsevier, vol. 58(C), pages 1-21.
    11. Farid Farrokhi, 2019. "Skill, Agglomeration, and Inequality in the Spatial Economy," 2019 Meeting Papers 357, Society for Economic Dynamics.
    12. C. Duvivier & S. Li & M.-F. Renard, 2013. "Are workers close to cities paid higher nonagricultural wages in rural China?," Applied Economics, Taylor & Francis Journals, vol. 45(30), pages 4308-4322, October.
    13. Ma, Lin & Tang, Yang, 2020. "Geography, trade, and internal migration in China," Journal of Urban Economics, Elsevier, vol. 115(C).
    14. Paolo Veneri & Vicente Ruiz, 2016. "Urban-To-Rural Population Growth Linkages: Evidence From Oecd Tl3 Regions," Journal of Regional Science, Wiley Blackwell, vol. 56(1), pages 3-24, January.
    15. Pierre-Philippe Combes & Gilles Duranton & Laurent Gobillon, 2011. "The identification of agglomeration economies," Journal of Economic Geography, Oxford University Press, vol. 11(2), pages 253-266, March.
    16. Shahid Yusuf & Kaoru Nabeshima, 2009. "Growth through Innovation : An Industrial Strategy for Shanghai," World Bank Publications - Reports 18613, The World Bank Group.
    17. Gilles Duranton, 2007. "From cities to productivity and growth in developing countries," Working Papers tecipa-306, University of Toronto, Department of Economics.
    18. Pierre-Philippe Combes, 2011. "The empirics of economic geography: how to draw policy implications?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 147(3), pages 567-592, September.
    19. Yan, Siqi & Peng, Jianchao & Wu, Qun, 2020. "Exploring the non-linear effects of city size on urban industrial land use efficiency: A spatial econometric analysis of cities in eastern China," Land Use Policy, Elsevier, vol. 99(C).
    20. Combes, Pierre-Philippe & Gobillon, Laurent, 2015. "The Empirics of Agglomeration Economies," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 247-348, Elsevier.

    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:15:y:2023:i:12:p:9415-:d:1169027. 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.