How Hukou Affects Precarious Employment: A Quantitative Analysis of the 2017 Chinese General Social Survey

Tengyi Wang

2022

Abstract

Technological advancement and economic globalization have made jobs increasingly precarious worldwide, including in China. Those precarious workers often suffer from employment insecurity, income inadequacy, and lack of protection. According to the 2021 National Bureau of Statistics, 200 million jobs in the Chinese labor market fall in the category of precarious employment, accounting for 22.2% of the total labor force. The Chinese household registration system (hukou), one critical factor in the Chinese labor market, can play an essential role in shaping precarious employment. However, less literature has quantitatively studied the relationship between hukou and precarious employment. Based on the 2017 Chinese General Social Survey (CCGS), this study divides “precariousness” into two indicators—employment status and part-time job status—and uses binary logistic regression models to examine the association between hukou and precarious employment. The results show that people holding agricultural hukou are more likely to be in precarious employment. These findings suggest that policies on employment, compulsory education, and vocational training should be gradually decoupled from the hukou status in order to break the rural-urban divide.

Paper Citation

in Harvard Style

Wang T. (2022). How Hukou Affects Precarious Employment: A Quantitative Analysis of the 2017 Chinese General Social Survey. In Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA; ISBN 978-989-758-658-3, SciTePress, pages 196-204. DOI: 10.5220/0012072000003624

in Bibtex Style

@conference{pmbda22,
author={Tengyi Wang},
title={How Hukou Affects Precarious Employment: A Quantitative Analysis of the 2017 Chinese General Social Survey},
booktitle={Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA},
year={2022},
pages={196-204},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012072000003624},
isbn={978-989-758-658-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA
TI - How Hukou Affects Precarious Employment: A Quantitative Analysis of the 2017 Chinese General Social Survey
SN - 978-989-758-658-3
AU - Wang T.
PY - 2022
SP - 196
EP - 204
DO - 10.5220/0012072000003624
PB - SciTePress