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Updated: Jan 27, 2026

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根据招聘大数据,中国的研究生就业需求驱动的动态和进化模式
Mingyou Liu1, Rong Xiao1, Yunfang Ran2
1School of Education, Soochow University, Suzhou, Jiangsu, China; School of Biology and Engineering, Guizhou Medical University, Guiyang, Guizhou, China.
Acta psychologica
|January 25, 2026
概括
这项研究分析了超过一百万份招聘公告,以了解中国的毕业生就业趋势. 它发现对数字技能和跨学科专业知识的需求日益增长,以及对软技能的持续需求.
科学领域:
- 经济学 经济学 经济学
- 社会学 社会学 社会学
- 劳动市场分析 劳动市场分析
背景情况:
- 传统的毕业生就业研究专注于人才培养,忽视了劳动力市场的动态.
- 这导致了持续的供需不匹配,以及毕业生就业市场的政策调整缓慢.
- 以需求为导向的观点对于理解和应对这些结构性挑战至关重要.
研究的目的:
- 研究中国毕业生就业的动态和进化模式.
- 从雇主需求的角度分析特定行业的能力结构和不断变化的人才需求.
- 为研究生劳动力市场的积极政策制定提供实证.
主要方法:
- 分析了来自中国招聘平台的近期大学毕业生100多万份招聘公告.
- 利用文本挖掘,统计建模和纵向趋势分析来识别劳动力需求模式.
- 检查了所需技能的转变,包括软技能,数字专业知识和跨学科能力.
主要成果:
- 雇主始终重视软技能.
- 对数字和应用专业知识的需求大幅增长,特别是在计算机科学和人工智能领域.
- 跨学科的整合成为当代人才的关键要求.
- 尽管有COVID-19的干扰,但疫情后的工资显示上升趋势,表明潜在的供需调整.
结论:
- 该研究增强了对需求驱动的就业动态的理论理解.
- 研究结果支持制定预测性政策,以应对毕业生劳动力市场需求.
- 强调数字素养,人工智能和跨学科技能对未来毕业生的日益重要.
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