Demand-driven dynamics and evolutionary patterns of graduate employment in China based on recruitment big data
Bibliographic Data
| ID | 9406643 |
|---|---|
| Authors | M Liu (0000-0003-1113-8200, Guiyang Medical University, corresponding author), Rong Xiao (0000-0002-6214-8057, Guiyang Medical University), Yunfang Ran (Soochow University), Yitao Wang (0000-0001-7425-5696, Soochow University) |
| Year | 2026 |
| Volume | 263 |
| Pages | 106298-106298 |
| Publication date | 2026-01-24 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Acta Psychologica (JOURNAL) |
| Journal identifiers | ISSN: 0001-6918 • E-ISSN: 1873-6297 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.actpsy.2026.106298 |
| PMID | 41581347 |
| OpenAlex | W7125614858 |
| Language | EN |
| Citations received | 1 |
| References cited | 40 |
Research on graduate employment had traditionally emphasized talent cultivation while insufficiently addressing labor market dynamics, which generated structural challenges such as persistent mismatches between labor supply and demand and delayed policy responses. To address these issues, this study adopted a demand-driven perspective to investigate the dynamics and evolutionary patterns of graduate employment in China, with particular attention to industry-specific competency structures and shifting talent requirements. Drawing on more than one million job postings for recent university graduates collected from leading Chinese recruitment platforms, the analysis employed text mining, statistical modeling, and longitudinal trend analysis to uncover patterns in graduate labor demand. The findings showed that employers placed sustained emphasis on soft skills, while demand for digital and applied expertise, particularly in fields such as computer science and artificial intelligence, experienced substantial growth. Interdisciplinary integration was identified as a salient dimension of contemporary talent requirements. Although recruitment activities were disrupted by the COVID-19 pandemic, which resulted in a prolonged reduction in job opportunities, post-pandemic recruitment salaries exhibited a gradual yet fluctuating upward trend, which suggested a progressive realignment between graduate supply and demand. This study enriched the theoretical understanding of demand-driven employment dynamics, provided empirical evidence to support anticipatory policy development
Big data · Career Pathways · China · Dimension (graph theory · Dynamics (music · Graduate students · Perspective (graphical · Salient · Supply and demand · AI and HR Technologies · Employer Branding and e-HRM · Labor market dynamics and wage inequality
Latent Dirichlet allocation (LDA) and topic modeling
Human Capital Investment
Skills Mismatch
Signaling in Retrospect and the Informational Structure of Markets
China's higher education expansion and unemployment of college graduates
Generative AI at Work
Measuring Economic Policy Uncertainty
The Skill Content of Recent Technological Change
Artificial Intelligence and Jobs
The association between perceived social support and future decent work perception
Assessing quality tourism development in China
Hierarchies and the Organization of Knowledge in Production
School projects with the community
Evaluating the impact of China's educational policy on career development
Rethinking graduate employability
Labor Market Segmentation and Job-Related Risk
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |