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Spatial Analysis of Intercity Migration Patterns of China’s Rural Population: Based on the Network Perspective

Author

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  • Yihu Zhou

    (College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China)

  • Huiguang Chen

    (College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China)

  • Tingting Fang

    (Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China)

Abstract

Since entering the 21st century, many developing countries around the world have begun to enter a stage of rapid urbanization; large-scale “rural-urban” population migration has become a typical social phenomenon in these countries. Against this backdrop, this paper aims to elucidate the spatial migration characteristics of rural populations and to discuss future rural–urban development strategies. For this purpose, this paper takes China as a case and employs methods such as spatial autocorrelation analysis, hotspot analysis, and network analysis to construct an intercity migration network of rural migrants and analyze its spatial characteristics and internal structure. The results indicate that the migration pattern of the rural population exhibits notable spatial clustering features. Cities in the eastern and central regions are, respectively, hotspots for the inflow and outflow of rural populations, with internal migration dominating in western cities and relatively inactive rural population movements in northeastern cities. Municipalities directly under the central government, sub-provincial cities, and provincial capitals show a significant tendency to attract rural populations, while prefecture-level and county-level cities mainly radiate rural populations outward. Cities nationwide form seven major clusters in the migration network, and these clusters exhibit distinct structural characteristics. Rural population migration is influenced by various factors. In the future, considerations should focus on the county as the primary unit, attracting rural populations for local employment, and promoting rural revitalization and agriculture development. The findings of this paper are of reference significance not only to China but also to many developing countries with similar national conditions in the world.

Suggested Citation

  • Yihu Zhou & Huiguang Chen & Tingting Fang, 2024. "Spatial Analysis of Intercity Migration Patterns of China’s Rural Population: Based on the Network Perspective," Agriculture, MDPI, vol. 14(5), pages 1-24, April.
  • Handle: RePEc:gam:jagris:v:14:y:2024:i:5:p:655-:d:1381528
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    References listed on IDEAS

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    1. Phan, Diep & Coxhead, Ian, 2010. "Inter-provincial migration and inequality during Vietnam's transition," Journal of Development Economics, Elsevier, vol. 91(1), pages 100-112, January.
    2. Litwack, John M. & Qian, Yingyi, 1998. "Balanced or Unbalanced Development: Special Economic Zones as Catalysts for Transition," Journal of Comparative Economics, Elsevier, vol. 26(1), pages 117-141, March.
    3. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 1999. "Mean-field theory for scale-free random networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 272(1), pages 173-187.
    4. Vladimir Balaz & Allan M. Williams, 2011. "Risk attitudes and migration experience," Journal of Risk Research, Taylor & Francis Journals, vol. 14(5), pages 583-596, May.
    5. Duncan J. Watts & Steven H. Strogatz, 1998. "Collective dynamics of ‘small-world’ networks," Nature, Nature, vol. 393(6684), pages 440-442, June.
    6. Hafner-Burton, Emilie M. & Kahler, Miles & Montgomery, Alexander H., 2009. "Network Analysis for International Relations," International Organization, Cambridge University Press, vol. 63(3), pages 559-592, July.
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