Exploring the Combinatorial Effects of Collaborative Factors Leading to Higher Degree of Co‐Production
ABSTRACT This study investigates the collaborative factors conducive to co‐production in public services, utilizing Ansell and Gash's framework and fuzzy set qualitative comparative analysis (fsQCA) across 18 cases from the Collaborative Governance Case Database (CGCD). It identifies incentive as a necessary condition for co‐production, revealing three sufficient pathways to co‐production: managed, led, and self‐organized co‐production. The findings advance our understanding of the specific collaborative configurations that can achieve higher degree of co‐production, offering an “incentive‐structure‐behavior” framework and practical insights for policy makers seeking to enhance public service co‐production.
Authors
- Huanming Wang (ORCID: https://orcid.org/0000-0001-5173-1514)
- Bing Ran (ORCID: https://orcid.org/0000-0002-1179-9116)
- Sihan Zhang (ORCID: https://orcid.org/0000-0003-4257-6289)
Institutions
- Pennsylvania State University (US)
- Dalian University of Technology (CN)
Publication Details
- Journal
- Public Administration
- Published
- 2024-10-27
- DOI
- https://doi.org/10.1111/padm.13043
- Citations
- 8
- Primary Topic
- Business Strategy and Innovation
- Type
- article
- Field-Weighted Citation Impact
- 4.44