From leadership research to district action: Political participation and grassroots governance: A social work perspective based on CGSS 2021 data

AI-assisted editorial implementation guide. Proposed district actions are separate from the original authors’ findings and recommendations. Independent peer review of this guide is not asserted.

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Evidence and transfer

Education-related source: verify which participants, institutions and outcomes were actually studied before district adoption. Source publication type: research-article. License and identity checks do not establish study quality or causality.

Original authors’ abstract, reproduced under the source license:

This study, based on the 2021 China General Social Survey (CGSS), examines how different forms of political participation–spanning behavior, attitude, and affiliation –shape perceptions of grassroots governance effectiveness in safety, convenience, and social atmosphere. Framed within the conceptual lens of social work, which emphasizes community engagement and service-oriented participation, the study uses multinomial ordered logistic regression and uncovers three key insights. First, participatory initiatives facilitated through social work–related community contexts amplify collective confidence in safety and atmosphere but paradoxically undermine convenience evaluations, revealing a procedural legitimacy paradox when community services fall short. Second, strong political attitudes cultivated through community-based outreach uniformly predicts satisfaction with safety and atmosphere, functioning as a critical accountability mechanism, especially among urban women engaged in local support programs. Third, familial political ties intersect with community networks to show generational asymmetry: paternal affiliations, often reinforced by male-led committees, predict atmosphere perceptions, while maternal ties channeled through women’s groups diminish convenience satisfaction, reflecting entrenched authoritarian familism. Control variables reveal that education predicts convenience perceptions but erodes safety and atmosphere evaluations, as more educated citizens identify gaps between policy intent and delivery; urban residency also polarizes governance expectations through differential access to community engagement platforms. Stable demographic patterns emerge, with gender and household registration maintaining consistent directional effects. To address these dynamics, we propose differentiated participation ecosystems that leverage social work principles and community networks: (1) education–governance dialogues mediated by community practitioners; (2) voting–service audits coordinated through civic coalitions; (3) citizen panels empowering skeptical urban women; and (4) familial governance scaffolding through social work alliances, leveraging paternal heritage programs and matrifocal budget reallocation. These strategies transform social work–based engagement into a precision tool for governance optimization across urban–rural, gender, and generational divides.

Study methods

In this study, we analyze data from the 2021 Chinese General Social Survey (CGSS), China’s first nationwide, ongoing social survey project launched in 2003 by Renmin University in collaboration with research institutions across the country [28–30]. Each year, the CGSS employs a rigorous multi-stage, stratified random sampling method to interview more than 10,000 households, urban and rural alike, in all 31 provinces, autonomous regions, and municipalities. The survey’s extensive questionnaire captures information at multiple levels (societal, community, family, and individual), with dedicated modules capturing respondents’ political participation (e.g., voting behavior, attendance at public consultations, engagement in community deliberations) and their perceptions of local governance. By tracking long-term social changes and addressing key theoretical and practical questions, the CGSS promotes open data sharing, informs government policy, and supports cross-national comparisons. Leveraging this rich resource, our study investigates how distinct modes of citizens’ political participation shape their perceptions of grassroots governance effectiveness at the local level in China. In line with our predefined criteria, the 2021 CGSS dataset was rigorously screened to exclude implausible responses and observations with missing values on key variables, yielding a final analytic sample of 1790 cases.

Limitations

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A 90-day district inquiry

Days 1–15 · Appraise. Read the source methods, recruitment, comparator, outcomes and limitations. Record how the study setting differs from your district and which claim the design can support.
Days 16–30 · Design. Select one recurring district decision. Publish the decision owner, evidence requirements, consultation process and appeal route; test the process on a bounded low-risk decision. Agree participation, privacy protections, baseline and stopping rules before starting.
Days 31–60 · Observe. Collect the pre-agreed measures, keep a log of implementation changes and invite confidential voluntary feedback. Preserve existing support for staff and learners.
Days 61–90 · Decide. Track decision time, unresolved objections, documented reasons, appeals and access differences. Review whether the process changes who can participate and who carries the burden. Make a dated decision to stop, revise or extend the inquiry.

Board decision brief

Present the local problem, source setting, evidence limits, intervention, responsible owner, total cost, measured changes and uncertainty. Separate staff perceptions, implementation measures and student learning outcomes.

Attribution and reuse

Xiao Zhang; Dana Burkhanova; Yi Yang; Jingwei Tian. Political participation and grassroots governance: A social work perspective based on CGSS 2021 data. PLOS One (2025-12-05). https://doi.org/10.1371/journal.pone.0337520

Prepared 2026-11-07. Source authorship and DOI are preserved. The abstract and source passages are attributed extracts; this editorial guide is offered under the same CC BY 4.0 license.