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Peer-reviewedCC BY 4.0PLOS One

Resident-reported evaluation of Party-Mass Service Centers in China: A cross-sectional analysis of participation and governance context

  • Haibo Yao1
  • Qirui Zhang2
  • Huaizhi Xu3
  • LiFa Hu
  1. 1Yangzhou University Social Governance Innovation Research Center, School of Marxism, Yangzhou University, Yangzhou, Jiangsu, China
  2. 2School of Art and Design, Yangzhou University, Yangzhou, Jiangsu, China
  3. 3Lianyungang Technical College, Lianyungang, Jiangsu, China
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Abstract

Party-Mass Service Centers (PMSCs) combine grassroots service delivery, participation, and Party-led community governance, yet little is known about how residents evaluate these institutions. Using a mixed-mode nonprobability survey of 2,688 residents linked to 140 PMSCs in Hanjiang District, Yangzhou, this study conceptualizes resident evaluation as a reported, reference-dependent judgment rather than a direct measure of institutional performance. Evaluation was strongly ceiling-concentrated (M = 4.747, median = 5.000; 63.3% strict top box). Center-clustered OLS showed that, relative to nonparticipants, residents who participated rarely, occasionally, often, or always reported evaluation scores higher by 0.298, 0.370, 0.343, and 0.406 points, respectively (all p < .001). A factor-score model and center-grouped binomial GEE yielded consistent results; adjusted top-box probability rose from 47.8% among nonparticipants to 82.6% among always-participants. Between-center variation was small (ICC = 0.011), and sensitivity analyses did not materially alter the participation pattern. The study contributes by separating reported evaluation from objective performance, showing the robustness of the participation-evaluation association under severe ceiling concentration, and demonstrating how center-aware inference can strengthen resident-centered analysis of grassroots governance. Findings remain associational because the design is cross-sectional and nonprobability-based.

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Cite

BibTeXRIS
BibTeX
@article{yao2026residentreported,
  title = {{Resident-reported evaluation of Party-Mass Service Centers in China: A cross-sectional analysis of participation and governance context}},
  author = {Haibo Yao and Qirui Zhang and Huaizhi Xu and LiFa Hu},
  journal = {PLOS One},
  year = {2026},
  month = sep,
  doi = {10.1371/journal.pone.0359412},
  url = {https://doi.org/10.1371/journal.pone.0359412},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Resident-reported evaluation of Party-Mass Service Centers in China: A cross-sectional analysis of participation and governance context
AU  - Haibo Yao
AU  - Qirui Zhang
AU  - Huaizhi Xu
AU  - LiFa Hu
PY  - 2026
DA  - 2026/09/28
JO  - PLOS One
DO  - 10.1371/journal.pone.0359412
UR  - https://doi.org/10.1371/journal.pone.0359412
AB  - Party-Mass Service Centers (PMSCs) combine grassroots service delivery, participation, and Party-led community governance, yet little is known about how residents evaluate these institutions. Using a mixed-mode nonprobability survey of 2,688 residents linked to 140 PMSCs in Hanjiang District, Yangzhou, this study conceptualizes resident evaluation as a reported, reference-dependent judgment rather than a direct measure of institutional performance. Evaluation was strongly ceiling-concentrated (M = 4.747, median = 5.000; 63.3% strict top box). Center-clustered OLS showed that, relative to nonparticipants, residents who participated rarely, occasionally, often, or always reported evaluation scores higher by 0.298, 0.370, 0.343, and 0.406 points, respectively (all p < .001). A factor-score model and center-grouped binomial GEE yielded consistent results; adjusted top-box probability rose from 47.8% among nonparticipants to 82.6% among always-participants. Between-center variation was small (ICC = 0.011), and sensitivity analyses did not materially alter the participation pattern. The study contributes by separating reported evaluation from objective performance, showing the robustness of the participation-evaluation association under severe ceiling concentration, and demonstrating how center-aware inference can strengthen resident-centered analysis of grassroots governance. Findings remain associational because the design is cross-sectional and nonprobability-based.
SN  - 1932-6203
ER  -