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The impact of spatial spillovers on interprovincial migration in China, 2005–10

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  • Yingxia Pu
  • Xiao Han
  • Guangqing Chi
  • Yaping Wang
  • Ying Ge
  • Fanhua Kong

Abstract

In a migration network system, any change of regional characteristics may affect outflows and inflows from and to the region itself and potentially its neighbouring regions. To explore the impact of spatial spillovers on interprovincial migration flows in China, we proposed four spatial autoregressive interaction models by introducing different network structures to gravity models. The results indicate that the model taking account of dependence structure among origins, destinations and flows is more accurate than the other models. Population size is the most critical determinant in interprovincial migration from 2005 to 2010 in China and is greatly strengthened by spatial spillovers.

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  • Yingxia Pu & Xiao Han & Guangqing Chi & Yaping Wang & Ying Ge & Fanhua Kong, 2019. "The impact of spatial spillovers on interprovincial migration in China, 2005–10," Regional Studies, Taylor & Francis Journals, vol. 53(8), pages 1125-1136, August.
    • Handle: RePEc:taf:regstd:v:53:y:2019:i:8:p:1125-1136
    DOI: 10.1080/00343404.2018.1562173
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    Cited by:

    1. Baixue Yu & Geng Niu & Jingjing Ye & Wen‐wen Zhang, 2023. "Human capital agglomeration, institutional barriers, and internal migration in China," Growth and Change, Wiley Blackwell, vol. 54(1), pages 284-303, March.
    2. Vera Barinova & Sylvie Rochhia & Stepan Zemtsov, 2022. "Attracting highly skilled migrants to the Russian regions," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(1), pages 147-173, February.
    3. Huaxin Wang-Lu & Octasiano Miguel Valerio Mendoza, 2022. "Job Prospects and Labour Mobility in China," Papers 2207.08282, arXiv.org, revised Sep 2022.

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