Labor Force Participation Rate Prediction of China: Scenario Simulation Based on Education and Retirement Strategies

Xiang Li*, Shuyu Li, Chengkun Liu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This study uses detailed population statistics and analyzes labor participation rates in China from the perspectives of education and retirement. It presents different hypothetical scenarios and predicts future labor participation rates using queue factors. The results indicate that under the baseline scenario, the overall labor participation rate (51.43%) is projected to significantly decrease by 2060 compared to 2020 (73.76%). The lock-in effect of education leads to a declining participation rate for the 15–24 age group, which persists until approximately the age of 50. Generally, women have higher labor participation rates than men prior to retirement. In the education-centered hypothetical scenario, the quantity impact of educational expansion is evident. Although the relative impact of additional education diminishes toward the end of working life (60–74) compared to the entire working life (15–74). The improvement in the labor market due to educational reform is sustainable across all scenarios. In the retirement-centered hypothetical scenario, reducing retirement rates across age groups increases labor force participation, but this improvement mainly focuses on those under the age of 70 and is not sustained. Thus, delaying retirement policies is only effective in the short term.

Original languageEnglish
Pages (from-to)704-713
Number of pages10
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Volume28
Issue number3
DOIs
Publication statusPublished - May 2024
Externally publishedYes

Keywords

  • delayed retirement strategy
  • education reform strategy
  • labor participation rate
  • scenario prediction

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