Supplementary file 1_Diagnosing the structure of policy implementation community in waste

A 78.3 KB document analyzes the structure of the policy implementation community for waste sorting in J District, Shanghai. The study by Changwei Wei, last updated in April 2026, uses social network analysis of policy texts and grounded theory analysis of 51 in-depth interviews to diagnose structural dysfunctions. It identifies four key tensions leading to policy idling in grassroots environmental governance.

Use Cases

• Analyzing network density and hierarchy in policy implementation communities based on the described social network analysis (SNA).
• Identifying structural tensions in multi-stakeholder governance based on the four categories derived from grounded theory analysis.
• Studying the translation of institutional tensions into policy effectiveness decay through street-level bureaucrat practices.
• Examining the coordination of fragmented networks and conflicting objectives in grassroots environmental policy.

Strengths

• Analysis is based on 51 in-depth interviews, providing qualitative depth.
• Social network analysis provides a quantitative network density metric (0.114).
• The study integrates two distinct methodologies: social network analysis (SNA) and grounded theory (GT).

Limitations

• The dataset is a 78.3 KB DOCX file, indicating a very limited scope focused on a single case study.
• Row count and column-level data are unknown, limiting suitability assessment for quantitative modeling.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

Changwei Wei via figshare.

Collection Method

Mixed-methods design combining social network analysis of policy texts and grounded theory analysis of interview transcripts.

Freshness

Last updated 2026-04-17 05:22:05.

Geography

J District, Shanghai, China.