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1
The 2018 global health financing report presents health spending data for all WHO Member States between 2000 and 2016 based on the SHA 2011 methodology. It shows a transformation trajectory for the global spending on health, with increasing domestic public funding and declining external financing. T
...
his report also presents, for the first time, spending on primary health care and specific diseases and looks closely at the relationship between spending and service coverage
more
This paper introduces a new dataset of official financing—including foreign aid and other forms of concessional and non-concessional state financing—from China to 138 countries between 2000 and 2014. We use these data to investigate whether and to what extent Chinese aid affects economic growth
...
in recipient countries. To account for the endogeneity of aid, we employ an instrumental-variables strategy that relies on exogenous variation in the supply of Chinese aid over time resulting from changes in Chinese steel production. Variation across recipient countries results from a country’s probability of receiving aid. Controlling for year- and recipient-fixed effects that capture the levels of these variables, their interaction provides a powerful and excludable instrument. Our results show that Chinese official development assistance (ODA) boosts economic growth in recipient countries. For the average recipient country, we estimate that one additional Chinese ODA project produces a 0.7 percentage point increase in economic growth two years after the project is committed. We also benchmark the effectiveness of Chinese aid vis-á-vis the World Bank, the United States, and all members of the OECD’s Development Assistance Committee (DAC).
more
AidData has developed a set of open source data collection methods to track project-level data on suppliers of official finance who do not participate in global reporting systems. This codebook outlines the version 1.1 set of TUFF procedures that have been developed, tested, refined, and implemented
...
by AidData researchers and affiliated faculty at the College of William & Mary and Brigham Young University.
In the first iteration of this codebook, AidData's Media-Based Data Collection Methodology, Version 1.0, we referred to our data collection procedures as a “media-based data collection” (MBDC) methodology. The term “media-based” was misleading, as the methodology does not rely exclusively on media reports; rather, media reports are used only as a departure point, and are supplemented with case studies undertaken by scholars and non-governmental organizations, project inventories supplied through Chinese embassy websites, and grants and loan data published by recipient governments. In the interest of providing greater clarity, we now refer to our methodology for systematically gathering open source development finance information as the Tracking Underreported Financial Flows (TUFF) methodology. This codebook outlines the set of TUFF procedures that have been developed, tested, refined, and implemented by AidData staff and affiliated faculty at the College of William & Mary and Brigham Young University.
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This codebook outlines the set of TUFF procedures that have been developed, tested, refined, and implemented by AidData staff and affiliated faculty at the College of William & Mary. We initially employed these methods to achieve a specific objective: documenting the known universe of officially fin
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anced Chinese projects in Africa (Strange et al. 2013, 2017). We have since then employed these methods to track Chinese official finance to five major world regions: Africa, the Middle East, Asia and the Pacific, Latin America and the Caribbean, and Central and Eastern Europe (Dreher et al. 2017). Additionally, other social scientists have adapted and applied the TUFF methodology to identify grants and loans from Gulf Cooperation Council (GCC) members (Minor et al. 2014), under-reported humanitarian assistance flows from traditional and non-traditional sources (Ghose 2017), foreign direct investment from Western and non-Western sources (Bunte et al. 2017), and pre-2000 foreign aid flows from China (Morgan and Zheng 2017). However, this codebook focuses specifically on TUFF data collection and quality assurance procedures to track Chinese official finance between 2000 and 2014.
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I examine the effectiveness of donors in targeting the highest burden of malaria in the Democratic Republic of Congo when health information structure is fragmented. I exploit local variations in the burden of malaria induced by mining activities as well as financial and epidemiological data from he
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alth facilities to estimate how local aid is matching local health needs. Using a regression discontinuity design, I find significant but quantitatively small variations in aid to health facilities located within mining areas. Comparing local aid with the additional cost of treatment and prevention associated with the increased risk of malaria transmission, I find suggestive evidence that local populations with the highest burden of the disease receive a proportionately lower share of aid compared to neighbouring areas with reduced exposure to malaria infection. The evidence of disparities in the allocation of aid for malaria supports the view that donors may have inaccurate information about local population needs.
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This report seeks to uncover the extent to which global goals crowd in international financing, inform domestic policy priorities, and navigate progress toward development outcomes in low- and middle-income countries (LICs and MICs). Our report:
Provides a historical perspective on how ODA financin
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g was aligned with the MDGs, and the perceived influence of global goals in shaping domestic priorities
Offers a baseline of ODA financing to the SDGs and a forward-looking perspective in translating past lessons learned from the MDGs era into actionable insights
Using a pilot methodology developed by AidData, we analyze ODA flows during the MDGs era (2000-2013) and approximate baseline financing for each goal prior to the adoption of Agenda 2030 in September 2015. The dataset used in the report, Financing to the SDGs, Version 1.0, provides project-level data on estimated Official Development Assistance (ODA) commitments to the 17 Sustainable Development Goals (SDGs) from 2000 to 2013. In this report, we also draw upon the responses of nearly 7,000 public, private, and civil society leaders from AidData’s novel 2014 Reform Efforts Survey to assess how national-level policymakers perceive the MDGs in light of their domestic reform priorities, and what this may mean for the SDGs.
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The majority of Countdown countries did not reach the fourth Millennium Development Goal (MDG 4) on reducing child mortality, despite the fact that donor funding to the health sector has drastically increased. When tracking aid invested in child survival, previous studies have exclusively focused on
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aid targeting reproductive, maternal, newborn, and child health (RMNCH). We take a multi-sectoral approach and extend the estimation to the four sectors that determine child survival: health (RMNCH and non-RMNCH), education, water and sanitation, and food and humanitarian assistance (Food/HA). Methods and findings: Using donor reported data, obtained mainly from the OECD Creditor Reporting System and Development Assistance Committee, we tracked the level and trends of aid (in grants or loans) disbursed to each of the four sectors at the global, regional, and country levels. We performed detailed analyses on missing data and conducted imputation with various methods. To identify aid projects for RMNCH, we developed an identification strategy that combined keyword searches and manual coding. To quantify aid for RMNCH in projects with multiple purposes, we adopted an integrated approach and produced the lower and upper bounds of estimates for RMNCH, so as to avoid making assumptions or using weak evidence for allocation. We checked the sensitivity of trends to the estimation methods and compared our estimates to that produced by other studies. Our study yielded time-series and recipient-specific annual estimates of aid disbursed to each sector, as well as their lower- and upper-bounds in 134 countries between 2000 and 2014, with a specific focus on Countdown countries. We found that the upper-bound estimates of total aid disbursed to the four sectors in 134 countries rose from US$ 22.62 billion in 2000 to US$ 59.29 billion in
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Mental disorders are a leading cause of the global burden of disease, and the provision of mental health services in developing countries remains very limited and far from equitable. Using the Creditor Reporting System, we estimate the amounts and patterns of development assistance for global mental
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health (DAMH) between 2007 and 2013. This allows us to examine how well international donors have responded to calls by global mental health advocates to scale up evidence-based services. Although DAMH did increase between 2007 and 2013, it remains low both in absolute terms and as a proportion of total development assistance for health (DAH). The average annual DAMH between 2007 and 2013 was US$133.57 million, and the proportion of DAH attributed to mental health is less than 1%. Approximately 48% of total DAMH was for humanitarian assistance, education, and civil services. More annual DAMH was channelled into the nonpublic sector than the public sector. Despite an expanding body of evidence suggesting that sustainable mental health care can be effectively integrated into existing health systems at relatively low cost, mental health has not received significant development assistance.
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The GFF needs an additional US$2.5 billion from 2021 to 2025 to enable countries to protect health gains and accelerate progress toward the 2030 Goals. Of this amount, the GFF urgently needs to secure new pledges of US$1.2 billion by the end of 2021 to help its current 36 partner countries protect
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and maintain essential health services and implement time-sensitive service delivery and health system improvements to enable a sharp bend of the curve back to a positive trajectory to close the gap to the SDGs.
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With sustained economic growth in many parts of the developing world, an increasing number of countries are transitioning away from the most subsidized development finance as they exceed income and other qualification requirements. Cross-country evidence suggests that Development Assistance Committe
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e (DAC) donors view the crossing over of the World Bank’s International Development Association (IDA) eligibility threshold to signal that a country needs less aid, with subsequent reductions in both IDA and other donors’ concessional funding. Within the health sector, it is particularly important to understand the implications of these status changes for children under five years of age since improving early childhood health is critical to fostering health and social and economic development. Therefore, we examine the implications of the IDA transition by measuring the extent t which World Bank commitments—including both IDA and IBRD—are directed to infant and child health needs in Nigeria. Ordinary Least Squares (OLS) models were used in a difference-indifferences (DID) strategy to compare World Bank IBRD/IDA lending before and after the crossover to regions with varying initial levels of under-five and infant need.
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Le Ministère de la Santé Publique et de la Prévention en collaboration avec les partenaires techniques et financiers, a procédé à l’élaboration du Plan National de Développement Sanitaire quatrième de la Génération (PNDS4), couvrant la période 2022-2030. Ce PNDS4, contrairement aux PND
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S antérieurs couvre une période restante pour la mise en œuvre de la Politique Nationale de Santé 2016-2030. Le PNDS4 est le dernier segment du cycle de la planification stratégique de la mise en œuvre de la Politique Nationale de Santé (PSN) qui est alignée sur la vision du « Tchad que nous voulons » et l’atteinte des Objectifs de Développement Durable.
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The Global Burden of Disease (GBD) 2010 Study has published disability-adjusted life year (DALY) data
at both regional and country levels from 1990 to 2010. Concurrently, the Institute for Health Metrics and Evaluation
(IHME) has published estimates of development assistance for health (DAH) at th
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e country-disease level for this
same period of time.
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Ending the epidemics of HIV, tuberculosis and malaria by 2030 is within reach, but not yet fully in our grasp.
With only 11 years left, we have no time to waste. We must step up the fight now.
The definition of Official Development Assistance (ODA) has for 40 years been the global standard for measuring donor efforts in supporting development co-operation objectives. It has provided the yardstick for documenting the volume and the terms of the concessional resources provided, assessing do
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nor performance against their aid pledges and enabling partner countries, civil society and others to hold donors to account. Yet for all its value, the ODA definition has always reflected a compromise between political expediency and statistical reality. It is based on interpretation and consensus and therefore allows for flexibility. It has evolved over the decades, while preserving the original concepts of a definition based on principal developmental motivation, official character and a degree of concessionality. While agreement on the ODA concept was a major achievement, discussion of the appropriateness of this measure has never ended. The paper documents the evolution of the ODA concept and proposes a possible new approach to measuring aid effort.
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Cholera remains an issue of major public health importance in Kenya. Kenya has in recent years experienced outbreaks affecting different parts of the country
To support the achievement of health equity in the Region, the regional inter-agency movement Every Woman Every Child Latin America and the Caribbean (EWEC-LAC) advocates for and supports the use of equity and evidence-based policies, strategies and interventions to accelerate equitable progress in
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the health of women, children and adolescents. Although progress has been made, great inequities persist. Women from the LAC region’s poorest countries are almost four times more likely to die due to complications during childbirth than those living in the wealthiest countries. Through the years, several tools, instruments and methods (TIMs) have been developed by global, regional and country partners that can be used to conduct systematic equity-based analyses and/or re-designs of health systems, programs, strategies and interventions. The main purpose of this document is to present an overview of existing TIMs that can be used by policymakers, program managers, development partners, nongovernmental organizations, academia and civil society partners to strengthen systematic identification, analysis and responding to social inequities in the health of women, children and adolescents in LAC. The TIMs included were identified through a systematic search process
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In 2015 around 15 million people living with HIV were receiving antiretroviral treatment (ART) in sub–Saharan Africa. Sustained provision of ART, though both prudent and necessary, creates substantial long–term fiscal obligations for countries affected by HIV/ AIDS. As donor assistance for healt
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h remains constrained, novel financing mechanisms are needed to augment funding domestic sources. We explore how Innovative Financing has been used to co–finance domestic HIV/AIDS responses. Based on analysis of non–health sectors, we identify innovative financing instruments that could be used in the HIV response.
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Multiple pandemics, numerous outbreaks, thousands of lives lost and billions of dollars of national income wiped out—all since the turn of this century, in barely 17 years—and yet the world’s investments in pandemic preparedness and response remain woefully inadequate. We know by now that the
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world will see another pandemic in the not-too-distant future; that random mutations occur often enough in microbes that help them survive and adapt; that new pathogens will inevitably find a way to break through our defenses; and that there is the increased potential for intentional or accidental release of a synthesized agent. Every expert commentary and every analysis in recent years tells us that the costs of inaction are immense. And yet, as
the havoc caused by the last outbreak turns into a fading memory, we become complacent and relegate the case for investing in preparedness on a back burner, only to bring it to the forefront when the next outbreak occurs. The result is that the world remains scarily vulnerable.
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Financing Global Health 2013: Transition in an Age of Austerity, IHME’s fifth annual report on global health expenditure, depicts financing trends that underline the resilience of development assistance for health. This year’s updated estimates show that despite lackluster economic growth and fi
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scal cutbacks in many developed countries, total assistance remained steady, reaching an all-time high of $31.3 billion in 2013. While annual increases have leveled off since 2010, continued international funding is a sign of the international development community’s enduring support for global health.
The report also shows shifts in sources of financing. As funding from many bilateral donors and development banks has declined, growth in funding from the GAVI Alliance, the Global Fund to Fight AIDS, Tuberculosis and Malaria, non-governmental organizations, and the UK government is counteracting these cuts. Development assistance for different health issues is tracked up to 2011, revealing that the greatest increase in funding was for maternal, newborn, and child health.
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Financing Global Health 2014 is the sixth edition of this annually produced report on global health financing. As in previous years, this report captures trends in development assistance for health (DAH) and government health expenditure (GHE). Health financing is one of IHME’s core research areas
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, and the aim of the series is to provide much-needed information to global health stakeholders. Updated GHE and DAH estimates allow decision-makers to pinpoint funding gaps and investment opportunities vital to improving population health. This year, IHME made a number of improvements to the data collection and methods implemented to produce Financing Global Health estimates. Both government health expenditure and development assistance for health estimates were updated and enhanced in 2013.
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