Debate about the effectiveness of foreign aid has intensified in recent years, as budgetary pressures on aid have increased in donor countries. Whatever the merits of opposing arguments, the question is: do conventional measures of aid (such as OECD's Net ODA), which lump together grants and loans, ...accurately reflect true aid flows? The authors analyze the methodological shortcomings of conventional measures of aid and propose a new approach.
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The 2022 Aid Transparency Index reveals that more aid organisations than ever before are publishing good quality information and score “very good” or “good” in the global ranking. However, the whole data set could be under threat as the Aid Transparency Index, the only tool driving tangible ...improvements in data quality, is set to close for lack of funding.
Produced by Publish What You Fund, the Index is the only independent measure of aid transparency among the world’s major aid donors. At a time of climate, hunger, health and debt crises, and some worrying trends in the way official development assistance (ODA) is counted, transparency is more important than ever.
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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).
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Health care waste management (HCWM) and infection prevention and control (IPC) represent serious concerns for HIV programs. Improperly handled infectious health care waste poses risks to health workers, their clients, the community, and the environment. Improper injection practices can lead to new H...IV and other infections for health workers and clients. Beginning in 2015, AIDSFree continued the work started by the Government of Nigeria and USAID in 2004 to strengthen activities in IPC and HCWM. This report describes AIDSFree's results over 15 months of implementation of HCWM and IPC activities in seven Nigerian states prioritized by the U.S. President's Emergency Plan for AIDS Relief (PEPFAR)
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Little is known about foreign aid provided by private donors. This paper contributes to closing this research gap by comparing the allocation of private humanitarian aid to that of official humanitarian aid awarded to 140 recipient countries over the 2000-2016 period. We construct a new database tha...t offers information on the country in which the headquarters of private donors are located to test whether private donors follow the aid allocation pattern of their home country. Our empirical results confirm that private aid “follows the flag.” This finding is robust against the inclusion of various fixed effects, estimating instrumental variables models, and disaggregating private aid into corporate aid and NGO aid. Donor country-specific estimations reveal that private aid from China, Sweden, the United Kingdom, and the United States “follow the flag.”
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The long-term goal of AIDSFree is to improve the quality and effectiveness of high-impact, evidence-informed HIV and AIDS interventions. This semiannual performance report (SAPR) summarizes AIDSFree's achievements for the period October 1, 2015–March 31, 2016
Agenda item 5, UNAIDS/PCB (43)/18.
11-13 December 2018 | Geneva, Switzerland
UNAIDS Programme Coordinating Board
Issue date: 23 November 2018
The world is not on track to end the AIDS pandemic. New infections are rising and AIDS deaths are continuing in too many communities. This report reveals why: inequalities are holding us back. In frank terms, the report calls the world’s attention to the painful reality that dangerous inequalities... are undermining the AIDS response and jeopardising the health security of everyone. The report highlights three specific areas of inequality for which concrete action is immediately possible—gender
inequalities and harmful masculinities driving HIV; marginalisation and criminalisation of key populations, which our data show is resulting in starkly little progress for those populations and undermining the overall response; and
inequalities for children whose lives must matter more than their market share. But this is not a counsel of despair, it is a call to action. Through bold action to confront these inequalities, we can end AIDS.
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Experiences from Indonesia, Kenya, Uganda and Ukraine
Downloaded from https://aidsinfo.nih.gov/guidelines on 10/19/2019
Recommendations from the National Institutes of Health, Centers for Disease Control and Prevention, the HIV Medicine Association of the Infectious Diseases Society of America and the Pediatric Infectious Diseases Society
(This g...uideline was simultaneously published in The Pediatric Infectious Disease Journal on November 6, 2013.)
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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...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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Between 2012 and 2016, development assistance for HIV/AIDS decreased by 20·0%; domestic financing is therefore critical to sustaining the response to HIV/AIDS. To understand whether domestic resources could fill the financing gaps created by declines in development assistance, we aimed to track spe...nding on HIV/AIDS and estimated the potential for governments to devote additional domestic funds to HIV/AIDS.
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UNAIDS/99.31E (English original, June 1999)
1st revision, April 2000
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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China and other so-called “emerging” donors and creditors are fundamentally changing the international development finance landscape; however, many of these actors do not participate in existing global reporting systems, such as the OECD’s Creditor Reporting System (CRS) and the International ...Aid Transparency Initiative (IATI).
To address this challenge and help those who seek to understand the nature, distribution, and effects of development finance from emerging donors and creditors, AidData developed the Tracking Underreported Financial Flows (TUFF) in collaboration with an international network of researchers from Harvard University, Heidelberg University, the University of Göttingen, the University of Cape Town, Brigham Young University, and William and Mary.
The methodology codifies a systematic, transparent, and replicable set of procedures that facilitate the collection of information about aid and credit from official sector donors and lenders who do not publish comprehensive or detailed information about their overseas activities. It does so by synthesizing and standardizing vast amounts of unstructured, open-source, project-level information published by governments, intergovernmental organizations, companies, nongovernmental organizations, journalists, and research institutions.
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