Structural Inequality in High-Quality Employment Among Chinese Youth: Spatial Differentiation, Gender Disparities, and Mechanisms of Educational Mismatch

Abstract China’s youth employment challenge has increasingly shifted from employment quantity to employment quality. This study examines structural inequality in youth employment quality through three interconnected dimensions: spatial differentiation, gender disparities, and educational mismatch. Guided by labor-market segmentation theory, it develops a macro–meso–micro framework and combines provincial panel data for 30 provinces from 2013 to 2021, China Family Panel Studies data from the 2016 and 2022 waves, and China Labor-force Dynamics Survey data from 2018. Results show persistent spatial clustering of youth employment quality, with higher levels concentrated in eastern coastal provinces. Gender disparities are strongly distributional and increasingly concentrated in medium- and high-quality employment; decomposition results indicate that unequal returns, rather than differences in observed endowments, account for most of the gap. Educational mismatch operates through differentiated channels: recruitment-based overeducation is associated with lower objective employment quality, whereas competency-based mismatch is more strongly related to lower job satisfaction. Overall, regional opportunity structures, gendered reward mechanisms, and education–job mismatch jointly shape inequality in youth employment quality.

Authors

Institutions

Publication Details

Journal
Gender and sustainability in the Global South
Published
2026-10-16
DOI
https://doi.org/10.1515/gsgs-2026-0036
Primary Topic
Education and Labor Relations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural Inequality in High-Quality Employment Among Chinese Youth: Spatial Differentiation, Gender Disparities, and Mechanisms of Educational Mismatch

Yue Sun
Gender and sustainability in the Global South
Education and Labor Relations
article

Structural Inequality in High-Quality Employment Among Chinese Youth: Spatial Differentiation, Gender Disparities, and Mechanisms of Educational Mismatch

Yue Sun
article en

Abstract

Abstract China’s youth employment challenge has increasingly shifted from employment quantity to employment quality. This study examines structural inequality in youth employment quality through three interconnected dimensions: spatial differentiation, gender disparities, and educational mismatch. Guided by labor-market segmentation theory, it develops a macro–meso–micro framework and combines provincial panel data for 30 provinces from 2013 to 2021, China Family Panel Studies data from the 2016 and 2022 waves, and China Labor-force Dynamics Survey data from 2018. Results show persistent spatial clustering of youth employment quality, with higher levels concentrated in eastern coastal provinces. Gender disparities are strongly distributional and increasingly concentrated in medium- and high-quality employment; decomposition results indicate that unequal returns, rather than differences in observed endowments, account for most of the gap. Educational mismatch operates through differentiated channels: recruitment-based overeducation is associated with lower objective employment quality, whereas competency-based mismatch is more strongly related to lower job satisfaction. Overall, regional opportunity structures, gendered reward mechanisms, and education–job mismatch jointly shape inequality in youth employment quality.

Gender and sustainability in the Global South
Institute of Population and Labor Economics (CN)
Reduced inequalities, Decent work and economic growth, Quality education, Gender equality
Openalex Percentile: Top 3%
Education and Labor Relations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.