Unveiling the Causes of Low Women's Political Participation: Novel Perspectives From China

ABSTRACT Addressing the persistent underrepresentation of women in political spheres, this study investigates the determinants of female political engagement in China, with a specific focus on the under‐explored role of self‐esteem. To establish causality and mitigate potential biases, we leverage rich data from two nationally representative surveys: the China Family Panel Studies and the National Survey on Women's Social Status of China, and employ robust econometric techniques. These include logit and ordinary least squares (OLS) regression, and bias‐reduction methods such as nearest‐neighbor matching, inverse probability weighting, and instrumental variables method to address self‐selection and endogeneity. Our analysis reveals a key finding: lower self‐esteem significantly leads to reduced political participation among Chinese women. Notably, the effect size of self‐esteem exceeds that of both cogntive ability and the Big Five personality traits within our model. This result has important implications, suggesting that interventions aimed at boosting women's self‐esteem could be a key strategy for increasing their political engagement. Beyond its academic contributions, this study offers a novel perspective on addressing the persistent gender gap in political participation, which remains a significant barrier to women's broader societal advancement.

Authors

Institutions

Publication Details

Journal
Review of Development Economics
Published
2025-04-04
DOI
https://doi.org/10.1111/rode.13227
Primary Topic
Gender Politics and Representation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unveiling the Causes of Low Women's Political Participation: Novel Perspectives From China

Zhongwu Li
Review of Development Economics
Gender Politics and Representation
article

Unveiling the Causes of Low Women's Political Participation: Novel Perspectives From China

Zhongwu Li
article en

Abstract

ABSTRACT Addressing the persistent underrepresentation of women in political spheres, this study investigates the determinants of female political engagement in China, with a specific focus on the under‐explored role of self‐esteem. To establish causality and mitigate potential biases, we leverage rich data from two nationally representative surveys: the China Family Panel Studies and the National Survey on Women's Social Status of China, and employ robust econometric techniques. These include logit and ordinary least squares (OLS) regression, and bias‐reduction methods such as nearest‐neighbor matching, inverse probability weighting, and instrumental variables method to address self‐selection and endogeneity. Our analysis reveals a key finding: lower self‐esteem significantly leads to reduced political participation among Chinese women. Notably, the effect size of self‐esteem exceeds that of both cogntive ability and the Big Five personality traits within our model. This result has important implications, suggesting that interventions aimed at boosting women's self‐esteem could be a key strategy for increasing their political engagement. Beyond its academic contributions, this study offers a novel perspective on addressing the persistent gender gap in political participation, which remains a significant barrier to women's broader societal advancement.

Review of Development EconomicsVol. 29(4)
Zhejiang University of Technology (CN)
National Office for Philosophy and Social Sciences, National Social Science Fund of China
Openalex Percentile: Top 91%
Gender Politics and Representation
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.