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Quantitatively analyzing the college student employment policy in China based on PMC-index model

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  • Changming Cui
  • Kangyu Wang

Abstract

The employment policies targeted at university graduates, which are exceedingly valuable to the national human resource, are closely related to the national economy and people’s livelihood. The employment policies for college students are essential pathways for promoting high-quality job placement for graduates, making the review and evaluation of relevant policies exceedingly significant. This study analyzes the university-student employment policies issued between 1997 and 2023; the researchers utilize text mining and content analysis and refer to the policy indicators designed by existing scholars to develop an evaluation index for college student employment. A PMC index model was constructed to quantitatively evaluate 9 selected policy samples. The results indicate that P5, P6, and P7 have good consistency ratings; P8, P4, and P9 have acceptable consistency ratings; and P2, P3, and P1 have low consistency ratings. The average score for the 9 policy samples is 5.03, reflecting an overall satisfactory quality of China’s college student employment policies. By constructing a PMC surface, the model visually reveals certain deficiencies in China’s college-student employment policies in regard to policy design, policy tools, and policy content. This study provides countermeasures and proposals from aspects such as policy nature and policy measures.

Suggested Citation

  • Changming Cui & Kangyu Wang, 2024. "Quantitatively analyzing the college student employment policy in China based on PMC-index model," PLOS ONE, Public Library of Science, vol. 19(10), pages 1-13, October.
  • Handle: RePEc:plo:pone00:0310479
    DOI: 10.1371/journal.pone.0310479
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    References listed on IDEAS

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    1. Maobo Hu & Cai Guo & Yang Wang & Dan Ma, 2023. "Quantitative evaluation of China’s private universities provincial public funding policies based on the PMC-Index model," PLOS ONE, Public Library of Science, vol. 18(12), pages 1-19, December.
    2. Bangjun Wang & Qiaoqiao Xing, 2022. "Evaluation of the Wind Power Industry Policy in China (2010–2021): A Quantitative Analysis Based on the PMC Index Model," Energies, MDPI, vol. 15(21), pages 1-14, November.
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