基于PMC指数模型的中国大学生就业政策的定量分析
1Student Work Department, Jilin Agricultural University, Changchun, Jilin, China.
PloS one
|October 24, 2024
概括
中国的大学毕业生就业政策总体上显示出令人满意的质量,尽管政策设计和内容需要改进. 这项评估使用了文本挖掘和PMC指数模型,用于1997-2023年期间的9个政策样本.
科学领域:
- 公共政策 公共政策
- 劳动经济学 劳动经济学
- 高等教育研究 高等教育研究
背景情况:
- 大学毕业生就业政策对于国家人力资源,经济稳定和公共福利至关重要.
- 有效的政策对于高质量的毕业生就业至关重要,需要严格的审查和评估.
- 在量化评估这些重要政策的有效性和一致性方面存在很大的差距.
研究的目的:
- 开发和应用大学学生就业政策的定量评估指数.
- 从1997年到2023年,分析中国大学生就业政策的一致性和质量.
- 确定在政策设计,工具和内容方面需要改进的具体领域.
主要方法:
- 利用9个选定的大学生就业政策样本 (1997-2023) 的文本挖掘和内容分析.
- 开发了大学生就业政策的新型评估指数,参考现有的学术指标.
- 采用政策管理能力 (PMC) 指数模型进行定量评估,并构建PMC表面用于可视化.
主要成果:
- 政策样本P5,P6和P7显示出良好的一致性,而P8,P4和P9是可以接受的.
- 在政策样本P2,P3和P1中,一致性评级较低.
- 9个政策的平均分数为5.03,表明整体质量令人满意,但在政策设计,工具和内容方面存在缺陷.
结论:
- 中国的大学生就业政策总体上是令人满意的,但在特定领域需要有针对性的改进.
- 该PMC指数模型有效量化政策质量,并确定战略增强的弱点.
- 提供了改进政策性质和措施以加强毕业生就业成果的建议.
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