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The Spatial and Career Mobility of China's Urban and Rural Labor Force

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  • Hao, Lingxin
  • Liang, Yucheng

Abstract

In this article, we provide a comprehensive examination of the spatial and career mobility of China's labor population. We integrate theories on stratification and social change and exploit the innovative design and measurement of the China Labor-force Dynamics Survey to minimize the undercoverage problem of the rural-urban migratory experience. Our analysis provides several fresh findings: (1) at-birth rural household registration (hukou) status leads to a greater probability of spatial mobility and career advancement than at-birth urban hukou status does; (2) education and gender differentiates rural-origin people, increasing the heterogeneity of urban labor and decreasing the heterogeneity of rural labor; (3) hukou policy relaxation favors later cohorts over earlier cohorts; and (4) among demographically comparable people, having experienced spatial mobility is correlated with having career advancement experience. Work organizations are found to be the arena where the two dimensions of mobility can happen jointly. Our findings provide a rich context for understanding the management and organization of Chinese labor.

Suggested Citation

  • Hao, Lingxin & Liang, Yucheng, 2016. "The Spatial and Career Mobility of China's Urban and Rural Labor Force," Management and Organization Review, Cambridge University Press, vol. 12(1), pages 135-158, March.
    • Handle: RePEc:cup:maorev:v:12:y:2016:i:01:p:135-158_00
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    Citations

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    Cited by:

    1. Peng Nie & Lanlin Ding & Alfonso Sousa-Poza, 2020. "What Chinese Workers Value: An Analysis of Job Satisfaction, Job Expectations, and Labour Turnover in China," Prague Economic Papers, Prague University of Economics and Business, vol. 2020(1), pages 85-104.
    2. Peng Nie & Lanlin Ding & Alfonso Sousa-Poza, . "What Chinese Workers Value: An Analysis of Job Satisfaction, Job Expectations, and Labour Turnover in China," Prague Economic Papers, University of Economics, Prague, vol. 0, pages 1-18.
    3. Lin, Boqiang & Xu, Bin, 2018. "Factors affecting CO2 emissions in China's agriculture sector: A quantile regression," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 15-27.
    4. Jiang Du & Miao Zeng & Zhengjuan Xie & Shikun Wang, 2019. "Power of Agricultural Credit in Farmland Abandonment: Evidence from Rural China," Land, MDPI, vol. 8(12), pages 1-14, December.
    5. Qin Su & Dora C. Lau & Grace M. Poon & Lynn M. Shore, 2023. "Team Diversity in Chinese Organizations: A Review and a Qualitative Study," Asia Pacific Journal of Management, Springer, vol. 40(3), pages 953-993, September.
    6. Rui Min & Hongxin Yang & Xu Mo & Yanbin Qi & Dingde Xu & Xin Deng, 2022. "Does Institutional Social Insurance Cause the Abandonment of Cultivated Land? Evidence from Rural China," IJERPH, MDPI, vol. 19(3), pages 1-11, January.
    7. Xin Deng & Miao Zeng & Dingde Xu & Yanbin Qi, 2022. "Why do landslides impact farmland abandonment? Evidence from hilly and mountainous areas of rural China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(1), pages 699-718, August.
    8. Nie, Peng & Wang, Lu & Sousa-Poza, Alfonso, 2020. "Peer Effects and Fertility Preferences in China: Evidence from the China Labor-Force Dynamics Survey," IZA Discussion Papers 13448, Institute of Labor Economics (IZA).
    9. Haonan Zhang & Hu Zhao & Saisai Meng & Yanghua Zhang, 2022. "Research on the Jobs-Housing Balance of Residents in Peri-Urbanization Areas in China: A Case Study of Zoucheng County," Sustainability, MDPI, vol. 14(13), pages 1-24, June.

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