How does social insurance policy affect citizens' political participation? An empirical research based on policy feedback theory

Abstract The policy feedback theory proposes that policies, besides being outputs of political activities, also function as inputs that shape political behavior and influence citizens. Using the 2019 Chinese Social Survey data, this paper empirically explored the impact of social insurance policies, specifically pension and medical insurance, on citizens' political voting. The study finds that social insurance policies are significantly correlated with political participation, suggesting the potential existence of a policy feedback effect. Further analysis indicated the presence of a resource incentive effect moderated by income and an interpretive effect moderated by education, both varying based on insurance type. As income or education levels rose, the political voting gap between insured and uninsured pension holders widened, particularly in EPI. In contrast, the political voting gap in medical insurance did not increase with income but decreased with education. This paper broadened the understanding of factors influencing political participation, providing empirical evidence for policy feedback theory in China and deepening insights into resource incentives and interpretive effects.

Authors

Institutions

Publication Details

Journal
Review of Policy Research
Published
2025-04-29
DOI
https://doi.org/10.1111/ropr.70012
Primary Topic
Social Policy and Reform Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How does social insurance policy affect citizens' political participation? An empirical research based on policy feedback theory

H. Wang, Kairan Zhang, Xi Gong
Review of Policy Research
Social Policy and Reform Studies
article

How does social insurance policy affect citizens' political participation? An empirical research based on policy feedback theory

H. Wang, Kairan Zhang, Xi Gong
article en

Abstract

Abstract The policy feedback theory proposes that policies, besides being outputs of political activities, also function as inputs that shape political behavior and influence citizens. Using the 2019 Chinese Social Survey data, this paper empirically explored the impact of social insurance policies, specifically pension and medical insurance, on citizens' political voting. The study finds that social insurance policies are significantly correlated with political participation, suggesting the potential existence of a policy feedback effect. Further analysis indicated the presence of a resource incentive effect moderated by income and an interpretive effect moderated by education, both varying based on insurance type. As income or education levels rose, the political voting gap between insured and uninsured pension holders widened, particularly in EPI. In contrast, the political voting gap in medical insurance did not increase with income but decreased with education. This paper broadened the understanding of factors influencing political participation, providing empirical evidence for policy feedback theory in China and deepening insights into resource incentives and interpretive effects.

Review of Policy ResearchVol. 43(1)
Shanxi Medical University (CN), Northwest University of Politics and Law (CN), Renmin University of China (CN)
Openalex Percentile: Top 90%
Social Policy and Reform Studies
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.

How does social insurance policy affect citizens' political participation? An empirical research based on policy feedback theory — H. Wang, Kairan Zhang, et al. · Review of Policy Research (2025) | TGRS Research Map | TGRS