Reducing Corruption in the Use of Development Aid: The Payment by Results Model

Corrupt diversion of development aid in recipient countries affects both the efficacy of the intended development programs and the willingness to supply aid in donor countries. Mismanagement of development funds has spurred debate over the ability of our current aid models to achieve development goals (improved healthcare, poverty alleviation, etc.). Many possible solutions for reducing corruption’s effect on development have been tested over the years with varying degrees of success. Various approaches have been tried, including conditioning aid or loans on “good governance” policy reforms, allocating development aid to local governments or local NGOs rather than national institutions, improving oversight and tracking of aid money, and supplying loans exclusively to countries that already have relatively favorable corruption scores (called performance-based lending). Each of these models has its own limitations: Conditionality is often viewed as an affront to sovereignty and has not been terribly effective. The local approach does not address governance issues, and local actors have not always proved to be less corrupt. Oversight of funds is important but costly and imperfect. Performance-based lending seems to leave behind many poor countries that cannot jump the corruption “hurdle.”

In searching for alternative models for distributing aid in light of the aid-corruption paradox, some donors have turned to yet another approach: payments by results (PbR). PbR has been supported by the Center for Global Development (see here and here) and has gained significant traction in the past two years by bilateral donors, such as the UK and Norway, and multilateral donors, such as the World Bank. The basic premise of PbR is that payment to the recipient depends on achieved results. The donor and recipient first define the desired outcomes (e.g., increased TB vaccinations, construction of an infrastructure project, etc.) and determine the amount that the donor will give once the desired outcome is met. The donor may provide some money up front to implement the program, but the rest of the payment is contingent upon performance: The recipient carries out the project independently, the donor measures the results, and, if the results meet the agreed-upon objective, the donor releases the remaining funds. This approach stands in contrast to the traditional input model, in which a donor gives the recipient money for inputs and provides a detailed action plan along with significant oversight for achieving results. Continue reading

Guest Post: Corruption Among Development NGOs, Part 3–The Need for Collective Action by Funding Agencies

Roger Henke, Chairman of the Board of the Southeast Asia Development Program (SADP), a development grantmaker based in Cambodia, contributes the following guest post (the third in a three-part series):

Previous posts on development NGO corruption described a survey tool and its results in Cambodia and the conundrum of using the upward accountability relationship between local NGOs (LNGOs) and the grantmakers funding them for remedial action. The analysis of the report which underlies much of those contributions includes another foundational premise: Given the systemic functioning of Cambodia’s (and other countries’) LNGO sectors, anticorruption action to hold these LNGOs to account needs to be collective in order to be effective.

The characterization of the sector as “systemic” is meant to capture fact that nearly all LNGOs are funded by more than one, often five or more, grantmakers, while these grantmakers in turn, each fund many (sometimes more than 25) LNGO partners. To see why this matters for upward accountability, suppose for the moment that a given Grantmaker X takes seriously its responsibilities to diligently oversee LNGO Partner Y, and suppose further that Grantmaker X uncovers a problem. What happens next? The best case scenario is that the LNGO acknowledges the problem and fixes it, while the worst-case scenario is that both the LNGO and the grantmaker ignore the problem. Both of those happen sometimes. But the more common outcome is this: The LNGO fails to deal with the problem, and eventually Grantmaker X decides to stop funding it. But this affects LNGO Y only temporarily, because it has (or can find) other funders, many of which may not exercise the same degree of diligence as Grantmaker X. So nothing much changes. Even when Grantmaker X communicates with other co-funders about the problems, and more of them decide to question their support of LNGO Y, it takes a fair level of coordinated grantmaker disinvestment to put an LNGO out of business. That level of coordination is rare even in cases of obvious crisis, and absent during more mundane times.

What is needed, then, is more collective action. Many grantmaker staffs would agree with this in principle, but the dominant response is generally not action but resignation, dressed up as “realism”: “Why waste time on beating a dead horse? Even if local grantmaker offices were all willing to collaborate, aligning the diverse requirements regarding reporting, auditing, etc. of all the headquarters….forget it.” I reject this defeatism. One rarely knows that something won’t work until one tries, and my experience in Cambodia is that practical pilots are very rare. So, what would proper collective diligence regarding financial management imply in practice? Continue reading

Guest Post: Corruption Among Development NGOs, Part 2–The Hot Potato of Upward Accountability

Roger Henke, Chairman of the Board of the Southeast Asia Development Program (SADP), a development grantmaker based in Cambodia, contributes the following guest post (the second in a three-part series):

My previous post in this series described the results of a survey that estimated the incidence of fraud and associated problems within the Cambodian NGO sector. The survey utilized a relatively independent source, the grantmakers that fund local NGOs (LNGOs), and triangulated the results with information supplied by the firms that perform external audits for LNGOs. The basic idea was that grantmakers are likely to have an evidence-based opinion of the quality of their LNGO partners’ financial management, governance, and fraud risk (and fraud incidence). After all, grantmakers assess organizational soundness before awarding a first grant to a potential partner LNGO, periodically monitor the work being funded by that grant, and require extensive, often cumbersomely regular, results and financial reporting, as well as yearly or project-based external audits. To put it simply: Grantmakers conduct regular due diligence (in the broad sense of the term) on LNGOs.

It seems strange that such an obvious source of objective data on NGO corruption and some of its correlates had, to my knowledge, never been considered before. Why not? My guess would be that the strained and ambivalent relationship that the aid community has with concept of so-called upward accountability is to blame. The engagement is strained in at least the following two aspects: Continue reading

Guest Post: A Behavioral Science Approach to Preventing Corruption

Johann Graf Lambsdorff, Professor of Economic Theory at Passau University, contributes the following guest post:

Some of our current approaches to corruption prevention perform badly. One reason is that many preventive methods are built on distrust towards officials and employees, who are seen as potentially corrupt actors. Yet research in behavioral science has provided us with impressive evidence that (many) people are (mostly) trustworthy, intrinsically motivated, and responsive to encouragement, praise, expressions of gratitude, and criticism. The problem with assuming that everyone is prone to engage in corruption if not carefully monitored is not only that prevention strategies premised on that assumption are very costly, but also that such approaches can be counterproductive: The atmosphere of distrust that they create can reduce interpersonal trust, intrinsic motivation, and the self-esteem that people get from contributing to public goods and working responsibly.

Economists have labelled these adverse collateral consequences “the hidden costs of control.” In a recent paper entitled “Preventing Corruption by Promoting Trust – Insights from Behavioral Science”, I explain how taking this phenomenon, as well related insights from behavioral sciences about creating positive incentives for good behavior, can help us design more effective policies. The paper illustrates this with the help of six examples: Continue reading