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Characteristics and Influencing Factors of Population Migration under Different Population Agglomeration Patterns—A Case Study of Urban Agglomeration in China

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  • Yongwang Cao

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China)

  • Xiong He

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China)

  • Chunshan Zhou

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China)

Abstract

China’s urban agglomerations (UAs) are striving to build a new development pattern oriented towards the new era and new stage, and the population distribution is facing new problems of synergy with the layout of labor factor productivity and regional coordinated development. Therefore, this study couples UAs with population distribution, using data from three population censuses and nighttime light data in 2000, 2010, and 2020, to measure the population agglomeration patterns of Chinese UAs using population agglomeration indicators and to explore the influencing factors and spatial stratification heterogeneity characteristics by constructing an econometric model. The results show that: (1) the population agglomeration patterns of Chinese UAs can be classified into four major categories: weakly polycentric, weakly monocentric, strongly monocentric, and strongly polycentric UAs, and China’s UAs are in a low-level stage dominated by weakly polycentric UAs at present. (2) In terms of influencing factors, 15 indicators, such as economic development and social conditions, are important factors affecting the population agglomeration patterns of the four UAs, but their effects vary greatly due to specific patterns. (3) For specific agglomeration models, the total passenger volume has always been the strongest positive influencing factor for weakly polycentric UAs; the industry location entropy index, scale of fiscal expenditure, and total passenger volume in municipal districts are relatively strong positive effects to weakly monocentric UAs, the per capita GDP and urbanization rate are relatively strong positive effects to strongly monocentric UAs, and the urbanization rate is always the strongest positive effect to strongly polycentric UAs. The refined analysis of population migration in Chinese UAs in this study enriches the theoretical results related to population migration in Chinese UAs to a certain extent and provides a feasible basis for the development of new development patterns in Chinese UAs and the formulation of regional population policies in the new stage. Meanwhile, this study divided the polycentric attributes of different UAs, which provide a reference for the theoretical development of polycentric spatial structure of UAs.

Suggested Citation

  • Yongwang Cao & Xiong He & Chunshan Zhou, 2023. "Characteristics and Influencing Factors of Population Migration under Different Population Agglomeration Patterns—A Case Study of Urban Agglomeration in China," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6909-:d:1127747
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    1. Alperovich, Gershon, 1992. "Economic Development and Population Concentration," Economic Development and Cultural Change, University of Chicago Press, vol. 41(1), pages 63-74, October.
    2. Evert J Meijers & Martijn J Burger, 2010. "Spatial Structure and Productivity in US Metropolitan Areas," Environment and Planning A, , vol. 42(6), pages 1383-1402, June.
    3. Wan Li & Bindong Sun & Tinglin Zhang & Zhifan Zhang, 2022. "Polycentric spatial structure and its economic performance: evidence from meta-analysis," Regional Studies, Taylor & Francis Journals, vol. 56(11), pages 1888-1902, November.
    4. Bosker, Maarten & Buringh, Eltjo, 2017. "City seeds: Geography and the origins of the European city system," Journal of Urban Economics, Elsevier, vol. 98(C), pages 139-157.
    5. Allen J. Scott, 2001. "Globalization and the Rise of City-regions," European Planning Studies, Taylor & Francis Journals, vol. 9(7), pages 813-826, October.
    6. Xingjian Liu & Ben Derudder & Kang Wu, 2016. "Measuring Polycentric Urban Development in China: An Intercity Transportation Network Perspective," Regional Studies, Taylor & Francis Journals, vol. 50(8), pages 1302-1315, August.
    7. Combes, Pierre-Philippe & Duranton, Gilles & Gobillon, Laurent, 2008. "Spatial wage disparities: Sorting matters!," Journal of Urban Economics, Elsevier, vol. 63(2), pages 723-742, March.
    8. Marion Borderon & Patrick Sakdapolrak & Raya Muttarak & Endale Kebede & Raffaella Pagogna & Eva Sporer, 2019. "Migration influenced by environmental change in Africa: A systematic review of empirical evidence," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(18), pages 491-544.
    9. Feng Lan & Huili Da & Haizhen Wen & Ying Wang, 2019. "Spatial Structure Evolution of Urban Agglomerations and Its Driving Factors in Mainland China: From the Monocentric to the Polycentric Dimension," Sustainability, MDPI, vol. 11(3), pages 1-20, January.
    10. Fu, Yuming & Gabriel, Stuart A., 2012. "Labor migration, human capital agglomeration and regional development in China," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 473-484.
    11. Tanja Buch & Silke Hamann & Annekatrin Niebuhr & Anja Rossen, 2014. "What Makes Cities Attractive? The Determinants of Urban Labour Migration in Germany," Urban Studies, Urban Studies Journal Limited, vol. 51(9), pages 1960-1978, July.
    12. Monica Brezzi & Paolo Veneri, 2015. "Assessing Polycentric Urban Systems in the OECD: Country, Regional and Metropolitan Perspectives," European Planning Studies, Taylor & Francis Journals, vol. 23(6), pages 1128-1145, June.
    13. Rafael Reuveny & Will H. Moore, 2009. "Does Environmental Degradation Influence Migration? Emigration to Developed Countries in the Late 1980s and 1990s," Social Science Quarterly, Southwestern Social Science Association, vol. 90(3), pages 461-479, September.
    14. Robert Lang & Paul Knox, 2009. "The New Metropolis: Rethinking Megalopolis," Regional Studies, Taylor & Francis Journals, vol. 43(6), pages 789-802.
    15. Di Zhu & Yinghong Wang & Shangui Peng & Fenglin Zhang, 2022. "Influence Mechanism of Polycentric Spatial Structure on Urban Land Use Efficiency: A Moderated Mediation Model," IJERPH, MDPI, vol. 19(24), pages 1-18, December.
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