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Employment Flow of College Graduates in China: City Preference and Group Difference

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  • Zeng Guohua
  • Hu Yuelong
  • Wu Wenwen
  • Isaac Kofi Mensah

Abstract

The outflow of college graduates will damage the accumulation of regional human capital and affect regional economic and social development. This article uses the administrative data of the employment monitoring system for college graduates in a province in central China in 2018 and establishes a multivariate logit model based on the Todaro model, opportunity inequality theory, and the relative poverty hypothesis to analyze first employment place preferences and group differences of college graduates. The study found that college graduates tend to peer flow (returning to urban employment at the same level as the city of origin), and family background will promote peer flow. Also, graduates are more willing to work in large and medium cities with higher economic levels, and this employment ratio shows obvious differences in majors, college types, gender, and educational levels. Finally, college graduates from relatively low family status are more likely to experience upward or downward flow.

Suggested Citation

  • Zeng Guohua & Hu Yuelong & Wu Wenwen & Isaac Kofi Mensah, 2021. "Employment Flow of College Graduates in China: City Preference and Group Difference," SAGE Open, , vol. 11(1), pages 21582440219, March.
    • Handle: RePEc:sae:sagope:v:11:y:2021:i:1:p:2158244021998696
    DOI: 10.1177/2158244021998696
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    References listed on IDEAS

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    Cited by:

    1. Yilin Zhao & Feng He & Ying Feng, 2022. "Research on the Current Situation of Employment Mobility and Retention Rate Predictions of “Double First-Class” University Graduates Based on the Random Forest and BP Neural Network Models," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
    2. Yilin Zhao & Feng He & Ying Feng, 2022. "Research on the Industrial Structure Upgrading Effect of the Employment Mobility of Graduates from China’s “Double First-Class” Colleges and Universities," Sustainability, MDPI, vol. 14(4), pages 1-18, February.

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