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Spatio-Temporal Patterns and Determinants of Inter-Provincial Migration in China 1995–2015

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  • Rongwei Wu

    (Xinjiang Institute of Ecology and Geography, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Degang Yang

    (Xinjiang Institute of Ecology and Geography, Urumqi 830011, China)

  • Lu Zhang

    (Xinjiang Institute of Ecology and Geography, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jinwei Huo

    (Xinjiang Institute of Ecology and Geography, Urumqi 830011, China)

Abstract

Inter-provincial migration causes dramatic changes in the population, as well as in the development of the social economy at both origin and destination, which is related to sustainable development in any country. Using inter-provincial migration data during the periods covering 1995–2000, 2000–2005, 2005–2010, and 2010–2015, we analyze the migration volume, intensity and flow, as well as its changes over time. We also examine the determinants associated with migration by applying Poisson pseudo-maximum-likelihood (PPML) estimation techniques. The results show that migrants move mainly from inland to coastal areas; however, since 2010, the number of migrants moving from coastal to inland areas has shown a continuous increase. This inter-provincial migration was driven largely by the influence of economic factors, such as high urban income per capita. A better model for the period of 2010–2015 is established by adopting an extended set of variables. New variables that represent regional disparities and industrial upgrades have a positive impact on inter-provincial migration, which shows that regional economic disparities and economic restructuring have played an important role in migration in recent years.

Suggested Citation

  • Rongwei Wu & Degang Yang & Lu Zhang & Jinwei Huo, 2018. "Spatio-Temporal Patterns and Determinants of Inter-Provincial Migration in China 1995–2015," Sustainability, MDPI, vol. 10(11), pages 1-22, October.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:3899-:d:178544
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    References listed on IDEAS

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    1. Mohamed Amara & Hatem Jemmali, 2018. "Deciphering the Relationship Between Internal Migration and Regional Disparities in Tunisia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 313-331, January.
    2. Michael P. Cameron, 2017. "Climate Change, Internal Migration and the Future Spatial Distribution of Population: A Case Study of New Zealand," Working Papers in Economics 17/03, University of Waikato.
    3. 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.
    4. Thomas Gries & Manfred Kraft & Manuel Simon, 2016. "Explaining inter-provincial migration in China," Papers in Regional Science, Wiley Blackwell, vol. 95(4), pages 709-731, November.
    5. M. Bell & M. Blake & P. Boyle & O. Duke‐Williams & P. Rees & J. Stillwell & G. Hugo, 2002. "Cross‐national comparison of internal migration: issues and measures," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(3), pages 435-464, October.
    6. J Shen, 1999. "Modelling Regional Migration in China: Estimation and Decomposition," Environment and Planning A, , vol. 31(7), pages 1223-1238, July.
    7. Zhongdong Ma, 2001. "Urban Labour-Force Experience as a Determinant of Rural Occupation Change: Evidence from Recent Urban-Rural Return Migration in China," Environment and Planning A, , vol. 33(2), pages 237-255, February.
    8. T J Fik & G F Mulligan, 1998. "Functional Form and Spatial Interaction Models," Environment and Planning A, , vol. 30(8), pages 1497-1507, August.
    9. Xiaomei Fan & Hongguang Liu & Zimeng Zhang & Jie Zhang, 2018. "The Spatio-Temporal Characteristics and Modeling Research of Inter-Provincial Migration in China," Sustainability, MDPI, vol. 10(3), pages 1-14, February.
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