Southern School-to-Work Transition and the Determinants of Becoming Young NEET in China

This study contributes to the scant literature on the individual and structural determinants of being young ‘not in employment, education or training’ (NEET) in China. Drawing from six waves of the Chinese General Social Survey (2010–2021), it finds that (a) China’s NEET rate stands at 16% for the studied period, with significant internal regional variations. (b) The common wisdom that education reduces the incidence of becoming NEET is challenged. Analyses showed that only obtaining a third-level educational degree lowers the likelihood of becoming NEET. (c) The differentiated likelihoods of becoming NEET between women subgroups, for example, married vs unmarried women, rural vs urban women, are more stratified than between different genders or household registrations. (d) Provincial government expenditure on education has a gap-closing effect on the NEET likelihood disparities between different genders and household registrations, whereas larger provincial populations exacerbate gender gaps. Policy implications are discussed.

Authors

Institutions

Publication Details

Journal
Young
Published
2025-02-20
DOI
https://doi.org/10.1177/11033088251316666
Primary Topic
Youth Education and Societal Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Southern School-to-Work Transition and the Determinants of Becoming Young NEET in China

Zizhen Wang
Young
Youth Education and Societal Dynamics
article

Southern School-to-Work Transition and the Determinants of Becoming Young NEET in China

Zizhen Wang
article en

Abstract

This study contributes to the scant literature on the individual and structural determinants of being young ‘not in employment, education or training’ (NEET) in China. Drawing from six waves of the Chinese General Social Survey (2010–2021), it finds that (a) China’s NEET rate stands at 16% for the studied period, with significant internal regional variations. (b) The common wisdom that education reduces the incidence of becoming NEET is challenged. Analyses showed that only obtaining a third-level educational degree lowers the likelihood of becoming NEET. (c) The differentiated likelihoods of becoming NEET between women subgroups, for example, married vs unmarried women, rural vs urban women, are more stratified than between different genders or household registrations. (d) Provincial government expenditure on education has a gap-closing effect on the NEET likelihood disparities between different genders and household registrations, whereas larger provincial populations exacerbate gender gaps. Policy implications are discussed.

YoungVol. 34(1)
Xiamen University (CN)
Openalex Percentile: Top 96%
Youth Education and Societal Dynamics
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.