Digital Eligibility Checks and Welfare Retrenchment in China: Can Proactive Welfare Administration Offset Their Exclusionary Effects?

ABSTRACT Against the backdrop of sustained retrenchment in China's Urban Minimum Livelihood Guarantee Scheme (Dibao), this study examines how digital eligibility verification systems and proactive identification mechanisms independently and jointly shape citizens' welfare receipt. Drawing on street‐level bureaucratic discretion and administrative burden theory, we hypothesise that digital verification has a negative relationship with welfare receipt, while proactive identification has a positive relationship with welfare access and may offset the above negative relationship. Using longitudinal administrative data from 2009 to 2023 and staggered difference‐in‐differences models, we find that digital eligibility verification systems are associated with lower Dibao receipt. Both forms of proactive identification (online tracking and offline seeking) are associated with higher Dibao receipt, but neither mechanism significantly mitigates the exclusionary effect of digital verification. By identifying both a key driver of and potential responses to Dibao retrenchment, this study contributes to research on welfare retrenchment, digital welfare and proactive public services and offers policy‐relevant insights for addressing the continued decline in Dibao coverage.

Authors

Institutions

Publication Details

Journal
Social Policy and Administration
Published
2026-08-03
DOI
https://doi.org/10.1111/spol.70099
Primary Topic
China's Socioeconomic Reforms and Governance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital Eligibility Checks and Welfare Retrenchment in China: Can Proactive Welfare Administration Offset Their Exclusionary Effects?

Yongzheng Yang, Xi Zhao
Social Policy and Administration
China's Socioeconomic Reforms and Governance
article

Digital Eligibility Checks and Welfare Retrenchment in China: Can Proactive Welfare Administration Offset Their Exclusionary Effects?

Yongzheng Yang, Xi Zhao
article en

Abstract

ABSTRACT Against the backdrop of sustained retrenchment in China's Urban Minimum Livelihood Guarantee Scheme (Dibao), this study examines how digital eligibility verification systems and proactive identification mechanisms independently and jointly shape citizens' welfare receipt. Drawing on street‐level bureaucratic discretion and administrative burden theory, we hypothesise that digital verification has a negative relationship with welfare receipt, while proactive identification has a positive relationship with welfare access and may offset the above negative relationship. Using longitudinal administrative data from 2009 to 2023 and staggered difference‐in‐differences models, we find that digital eligibility verification systems are associated with lower Dibao receipt. Both forms of proactive identification (online tracking and offline seeking) are associated with higher Dibao receipt, but neither mechanism significantly mitigates the exclusionary effect of digital verification. By identifying both a key driver of and potential responses to Dibao retrenchment, this study contributes to research on welfare retrenchment, digital welfare and proactive public services and offers policy‐relevant insights for addressing the continued decline in Dibao coverage.

Social Policy and Administration
Renmin University of China (CN)
Reduced inequalities
Openalex Percentile: Top 3%
China's Socioeconomic Reforms and Governance
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.