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Urban agglomeration and job search behavior: evidence from China

Author

Listed:
  • Jiafeng Zong
  • Zongjian Lin
  • Man Guo
  • Liang Zhou

Abstract

Relying on data from 2007 to 2008 CHIP, we use the duration model to analyze the relationship between urban agglomeration and job search behavior. We find that urban agglomeration can improve the quality of the labor market; the duration of unemployment is shorter in big cities. Furthermore, we find that job search intensity of migrants is stronger but urban dwellers can find jobs more easily. Our study enriches the existing research on urban agglomeration and job search behavior in the labor market.

Suggested Citation

  • Jiafeng Zong & Zongjian Lin & Man Guo & Liang Zhou, 2020. "Urban agglomeration and job search behavior: evidence from China," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 25(2), pages 307-325, April.
    • Handle: RePEc:taf:rjapxx:v:25:y:2020:i:2:p:307-325
    DOI: 10.1080/13547860.2019.1651594
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    Cited by:

    1. Emmanuel Duguet & Yannick L'horty & Florent Sari, 2023. "Agglomeration effects and unemployment to work: Evidence from French data," Papers in Regional Science, Wiley Blackwell, vol. 102(1), pages 129-166, February.
    2. Qingxiang Meng & Zhonghao Zhang & Xufeng Fei & Yuxiang Guo & Rui Xiao, 2024. "Scale optimization of urban agglomerations based on the connection strength between cities under the framework of sustainable development," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 20209-20232, August.

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