JOURNAL ARTICLE
The Governance of Nonprofits and Their Social Impact: Evidence from a Randomized Program in Healthcare in the Democratic Republic of Congo.
Published In: Management Science (INFORMS), 2024, v. 70, n. 5. P. 2732 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Fangwa, Anicet A.; Flammer, Caroline; Huysentruyt, Marieke; Quélin, Bertrand V. 3 of 3
Abstract
This article examines the effectiveness of bundling performance-based funding with auditing and feedback (A&F) to improve the governance and outcomes of nonprofit health centers in low-income countries, focusing on a randomized governance program in the Democratic Republic of Congo (DRC). The program, known as the Projet de Développement du Système de Santé (PDSS), randomly assigned about 1,000 health centers to receive either funding alone or funding combined with performance-based incentives and A&F. Results show that health centers receiving the bundled governance treatment significantly increased operating efficiency—measured by services provided per employee—and improved health outcomes, including reductions in stillbirths and neonatal deaths, compared to centers receiving funding only. Additional analyses indicate that funding alone expands service scale but does not enhance efficiency or quality, suggesting that funding and governance interventions complement each other rather than substitute. The study highlights the importance of tailored governance mechanisms that address knowledge gaps and information reliability challenges faced by nonprofits in low-income settings.
Additional Information
- Source:Management Science (INFORMS). 2024/05, Vol. 70, Issue 5, p2732
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2024
- ISSN:0025-1909
- DOI:10.1287/mnsc.2023.4846
- Accession Number:177188260
- Copyright Statement:Copyright of Management Science (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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