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Quantitative evaluation of China’s private universities provincial public funding policies based on the PMC-Index model

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  • Maobo Hu
  • Cai Guo
  • Yang Wang
  • Dan Ma

Abstract

The special public funding policies, formulated and implemented by provincial governments, plays an important role in the development of private universities in China. However, there is a lack of scientific evaluation on the rationality and completeness of the provincial special public funding policy of China’s private colleges and universities. Therefore, this paper uses PMC-index model and text mining technology to establish an evaluation index system for the provincial special public funding policy of private universities in China. Based on PMC-Index and PMC-Surface, 13 policy texts issued since 2010 were evaluated scientifically. The results show that the average PMC-Index of the 13 policies is 6.97, and the PMC-Surface map is smooth, which indicates that the overall structure of these policies is reasonable and the policy content has certain completeness. Only one policy is unacceptable. Through further analysis, we found that there is still much room for improvement in the content design of the sample policy, and its rationality and completeness are related to the publication time. This study is helpful to fully understand the advantages and disadvantages of the provincial special public funding policy of private universities in China.

Suggested Citation

  • 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.
    • Handle: RePEc:plo:pone00:0295601
    DOI: 10.1371/journal.pone.0295601
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    1. Fang Liu & Zhi Liu, 2022. "Quantitative Evaluation of Waste Separation Management Policies in the Yangtze River Delta Based on the PMC Index Model," IJERPH, MDPI, vol. 19(7), pages 1-24, March.
    2. Andreea Ioana COSTE & Adriana TIRON-TUDOR, 2015. "Performance Indicators In Romanian Higher Education," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 7, pages 177-180, April.
    3. Shengli Dai & Weimin Zhang & Jiamin Zong & Yingying Wang & Ge Wang, 2021. "How Effective Is the Green Development Policy of China’s Yangtze River Economic Belt? A Quantitative Evaluation Based on the PMC-Index Model," IJERPH, MDPI, vol. 18(14), pages 1-17, July.
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    Cited by:

    1. 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.

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