Research on the Impact of Family Capital on Individual Employment Quality—Empirical Analysis Based on CFPS Data

Based on the data of China Family Panel Studies (CFPS) in 2020, this paper uses OLS and Logit regression models to explore the impact and mechanism of family capital and education acquisition on individual employment quality. The study found that family capital has a significant positive impact on the quality of personal employment; the effect of family capital on the improvement of objective employment quality is greater than that of subjective employment quality. Family capital can have a positive impact on the quality of individual employment through education acquisition, and education acquisition shows a significant mediating effect. Through heterogeneity analysis, it is found that the employment quality of eastern provinces in China is significantly higher than that of central and western provinces. There are significant differences in the quality of employment between urban and rural individuals. Individuals in rural low-education and low-income families have significant disadvantages in the quality of employment compared with urban high-education and high-income families. The promotion effect of family capital on the employment quality of middle-educated workers is significantly higher than that of low-educated groups, and the phenomenon of " degree inversion " in the employment of high-educated people is more prominent. Therefore, China should improve the relevant employment quality assurance system, strengthen employment guidance, increase investment in education funds in economically lagging areas, and improve education to promote high-quality employment.

Authors

Institutions

Publication Details

Journal
International Journal of Global Economics and Management
Published
2024-09-28
DOI
https://doi.org/10.62051/ijgem.v4n2.07
Primary Topic
Regional Development and Environment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Impact of Family Capital on Individual Employment Quality—Empirical Analysis Based on CFPS Data

Yingjie Huang, Peiyi He
International Journal of Global Economics and Management
Regional Development and Environment
article

Research on the Impact of Family Capital on Individual Employment Quality—Empirical Analysis Based on CFPS Data

Yingjie Huang, Peiyi He
article en

Abstract

Based on the data of China Family Panel Studies (CFPS) in 2020, this paper uses OLS and Logit regression models to explore the impact and mechanism of family capital and education acquisition on individual employment quality. The study found that family capital has a significant positive impact on the quality of personal employment; the effect of family capital on the improvement of objective employment quality is greater than that of subjective employment quality. Family capital can have a positive impact on the quality of individual employment through education acquisition, and education acquisition shows a significant mediating effect. Through heterogeneity analysis, it is found that the employment quality of eastern provinces in China is significantly higher than that of central and western provinces. There are significant differences in the quality of employment between urban and rural individuals. Individuals in rural low-education and low-income families have significant disadvantages in the quality of employment compared with urban high-education and high-income families. The promotion effect of family capital on the employment quality of middle-educated workers is significantly higher than that of low-educated groups, and the phenomenon of " degree inversion " in the employment of high-educated people is more prominent. Therefore, China should improve the relevant employment quality assurance system, strengthen employment guidance, increase investment in education funds in economically lagging areas, and improve education to promote high-quality employment.

International Journal of Global Economics and ManagementVol. 4(2)
Sichuan University of Science and Engineering (CN)
Openalex Percentile: Top 74%
Regional Development and Environment
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.