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To meet the Sustainable Development Goals (SDGs), the world must ramp up development financing by an order of magnitude—“from billions to trillions.” We must think beyond aid, to private finance and unlocking developing countries’ own resources. CGD’s work in this area examines how to catalyze more development finance, more effectively.
This study examines the impact of the principal financial crises in emerging markets in recent years on the incidence of poverty in the countries in question. The growth impact is first identified by comparing average per capita growth in the two years prior to the crisis to that in the crisis year and the following year. The poverty impact is then measured by applying the elasticity of poverty with respect to growth. Alternative estimates consider results of surveys in the relevant periods, where available.
It is time to take a fresh look at the PSWs and to ask some basic questions about their role and instruments. The aim of this essay is to raise issues that need to be addressed as we think about how PSWs should evolve and adapt to meet the formidable challenges ahead. These questions and the answers gained through careful research can help chart the right course and set the right expectations for MDB PSWs, DFIs, and impact investors generally.
The welfare of the poor turns in large measure not only on technocratic development "policies", but the effective delivery of key public services, core elements of which require thousands of face-to-face discretionary transactions ("practices") by service providers. This paper presents eight current proposals for improving service delivery, on the basis of a principal-agent model of incentives that explores how these various proposals change flows of resources, information, decision-making, delivery mechanisms, and accountability.
While many analysts decry the lack of sufficient investment in Africa, we find no evidence that private and public investment are productive, either in Africa as a whole (unless Botswana is included in the sample), or in the manufacturing sector in Tanzania. In this restricted sense, inadequate investment is not the major obstacle to African economic development.
The IMF uses its well-known "financial programming" model to derive monetary and fiscal programs to achieve desired macroeconomic targets in countries undergoing crises or receiving debt relief. Financial programming is based on monetary, balance of payments, and fiscal accounting identities. This paper subjects the identity-based framework to a variety of tests. All of the identities contain large statistical discrepancies, which weakens the case for them as a "consistency check." In addition, the financial programming approach is flawed because it does not take into account the endogeneity of virtually all the variables in each macroeconomic identity, the instability of its simple behavioral assumptions, and the large statistical discrepancies in all the identities. Accounting identities do not a macro model make.
In the last of a series of three blog posts looking at the implications of complexity theory for development, Owen Barder and Ben Ramalingam look at the implications of complexity for the trend towards results-based management in development cooperation. They argue that is a common mistake to see a contradiction between recognising complexity and focusing on results: on the contrary, complexity provides a powerful reason for pursuing the results agenda, but it has to be done in ways which reflect the context. In the 2012 Kapuscinski lecture Owen argued that economic and political systems can best be thought of as complex adaptive systems, and that development should be understood as an emergent property of those systems. As explained in detail in Ben’s forthcoming book, these interactive systems are made up of adaptive actors, whose actions are a self-organised search for fitness on a shifting landscape. Systems like this undergo change in dynamic, non-linear ways; characterised by explosive surprises and tipping points as well as periods of relative stability. If development arises from the interactions of a dynamic and unpredictable system, you might draw the conclusion that it makes no sense to try to assess or measure the results of particular development interventions. That would be the wrong conclusion to reach. While the complexity of development implies a different way of thinking about evaluation, accountability and results, it also means that the ‘results agenda’ is more important than ever.