The Governance of Nonprofits and Their Social Impact: Evidence from a Randomized Program in Healthcare in the Democratic Republic of Congo

Working Paper: NBER ID: w30391

Authors: Anicet Fangwa; Caroline Flammer; Marieke Huysentruyt; Bertrand Quelin

Abstract: Substantial funding is provided to the healthcare systems of low-income countries. However, an important challenge is to ensure that this funding be used efficiently. This challenge is complicated by the fact that a large share of healthcare services in low-income countries is provided by non-profit health centers that often lack i) effective governance structures and ii) organizational know-how and adequate training. In this paper, we argue that the bundling of performance-based incentives with auditing and feedback (A&F) is a potential way to overcome these obstacles. First, the combination of feedback and performance-based incentives—that is, feedback joint with incentives to act on this feedback and achieve specific health outcomes—helps address the knowledge gap that may otherwise undermine performance-based incentives. Second, coupling feedback with auditing helps ensure that the information underlying the feedback is reliable—a prerequisite for effective feedback. To examine the effectiveness of this bundle, we use data from a randomized governance program conducted in the Democratic Republic of Congo. Within the program, a set of health centers were randomly assigned to a “governance treatment” that consisted of performance-based incentives combined with A&F, while others were not. Consistent with our prediction, we find that the governance treatment led to i) higher operating efficiency and ii) improvements in health outcomes. Furthermore, we find that funding is not a substitute for the governance treatment—health centers that only receive funding increase their scale, but do not show improvements in operating efficiency nor health outcomes.

Keywords: Nonprofit Governance; Healthcare; Performance-based Funding; Low-income Countries

JEL Codes: I0; I1; I2; O1


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
governance treatment (G38)improved efficiency and health outcomes (I14)
governance treatment is particularly effective in health centers with lower initial efficiency and higher initial mortality rates (I18)higher impact of governance treatment (G38)
governance treatment (G38)higher operating efficiency (L21)
governance treatment (G38)improved health outcomes (I14)
funding alone (I22)health center outcomes (I14)

Back to index