# Where talent flows: Trends and determinants of Chinese students’ city preferences

**Authors:** Li Wang, Xian Zhang, Yifei Wang, Yuxiang Li, Zhou Yu, Zhou Yu, Zhou Yu, Zhou Yu, Zhou Yu

PMC · DOI: 10.1371/journal.pone.0343928 · 2026-03-05

## TL;DR

The paper explores how Chinese college students choose cities for employment, based on factors like university prestige, academic performance, and family background.

## Contribution

The study provides new insights into how university characteristics and personal/family factors jointly influence city preference trends among Chinese students.

## Key findings

- University prestige is the strongest predictor of employment city preferences.
- High academic performance increases students' flexibility in city choices.
- Family background has a moderate, compensatory influence on city preferences.

## Abstract

Employment location preferences offer critical insights into how students evaluate opportunities across cities and drive early-career spatial sorting. This study examines Chinese college students’ employment city preferences from 2016 to 2020, focusing on the evolving influence of campus performance, family background, and university characteristics. Using five waves of nationally representative longitudinal data from the Panel Study of Chinese University Students (PSCUS), we apply multinomial logistic regression and relative importance analyses. Our results show that university characteristics as the primary predictor: students from Double First-Class universities favor first-tier cities, even as second-tier cities attract the largest share of students. Strong campus performance allows students to be more flexible in their location choices, whereas family background plays a moderate, compensatory role. Temporal patterns suggest that students’ preferences reflect the combined influence of institutional prestige, personal merit, and family resources. The findings provide insights into early-career mobility and inform policies for balanced regional development.

## Full-text entities

- **Diseases:** PSCUS (MESH:C562377), COVID-19 (MESH:D000086382)
- **Chemicals:** PONE-D-25-52295R3 (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12962534/full.md

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Source: https://tomesphere.com/paper/PMC12962534