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A spatial dynamic panel approach to modelling the space-time dynamics of interprovincial migration flows in China

Author

Listed:
  • Yingxia Pu

    (Nanjing University)

  • Xinyi Zhao

    (Nanjing University)

  • Guangqing Chi

    (Pennsylvania State University)

  • Jin Zhao

    (Nanjing University)

  • Fanhua Kong

    (Nanjing University)

Abstract

Background: Migration plays an increasingly crucial role in regional growth and development. However, most empirical studies fail to simultaneously capture the spatial and temporal aspects of migration flows, and thus fail to reveal how space-time dynamics shape path-dependent migration processes Objective: This study attempts to incorporate space-time dimensions into a traditional gravity model and to measure the impact of regional socioeconomic changes on migration flows. Doing so allows us to better understand the space-time dynamics of complex migration processes. Methods: We construct a spatial dynamic panel data model for dyadic migration flows and decompose origin, destination, and spillover effects into their contemporaneous, short-, and long-term components. We then apply this approach to panel data of interprovincial migration flows in China from 1985 to 2015. Results: The empirical results indicate that space-time interactions are crucial to the formation and evolution of migration flows. Population size and age structure play an important role in the Chinese interprovincial migration process, particularly dominated by significant and positive spillover effects in the contemporaneous period. The relationship between development and migration tends to take an inverted U-shaped curve, a fact not revealed in nonspatial models. Conclusions: This fine-grained decomposition of origin, destination, and spillover effects over contemporaneous, short-, and long-term periods can help understand the spatial and temporal mechanisms of migration and its driving factors. Contribution: We propose a spatial dynamic panel data model for migration flows and estimate space-time effects of regional explanatory variables. This method could be applied to model other flow data such as trade and transportation flows.

Suggested Citation

  • Yingxia Pu & Xinyi Zhao & Guangqing Chi & Jin Zhao & Fanhua Kong, 2019. "A spatial dynamic panel approach to modelling the space-time dynamics of interprovincial migration flows in China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(31), pages 913-948.
    • Handle: RePEc:dem:demres:v:41:y:2019:i:31
    DOI: 10.4054/DemRes.2019.41.31
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    3. Zhang, Wenwu & Luo, Le & Gu, Lianglian, 2023. "An empirical study on urban integration of Chinese elderly individuals with migration in periods of economic transformation: Internal mechanism and economic effects," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 170-181.
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    5. Yufei Lin & Yingxia Pu & Xinyi Zhao & Guangqing Chi & Cui Ye, 2023. "The Spatiotemporal Elasticity of Age Structure in China’s Interprovincial Migration System," Sustainability, MDPI, vol. 15(10), pages 1-18, May.

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    Keywords

    China; migration flows; network effects; space-time dynamics;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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