Trends of improved water and sanitation coverage around the globe between 1990 and 2010
Inequality among countries and performance of official development assistance
Bibliographic Data
| ID | 19529547 |
|---|---|
| Authors | Seungman Cha (0000-0003-1264-3313), Paul Mansiangi Mankadi (0000-0003-1184-0227, University of Kinshasa), Mousab Siddig Elhag (0000-0001-6212-8243, Federal Ministry of Health), Yongjoo Lee (Executive Director, Team & Team International, Seoul, Republic of Korea), Yong-Joo Lee (0000-0002-9497-7271), Yan Jin (0000-0001-7749-7367, Dongguk University, corresponding author) |
| Year | 2017 |
| Volume | 10 |
| Issue | 1 |
| Pages | 1327170-1327170 |
| Publication date | 2017-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Global Health Action (JOURNAL) |
| Journal identifiers | ISSN: 1654-9716 • E-ISSN: 1654-9880 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/16549716.2017.1327170 |
| PMID | 28604256 |
| OpenAlex | W2623188720 |
| Language | EN |
| Citations received | 4 |
| References cited | 24 |
BACKGROUND: As the Millennium Development Goals ended, and were replaced by the Sustainable Development Goals, efforts have been made to evaluate the achievements and performance of official development assistance (ODA) in the health sector. In this study, we explore trends in the expansion of water and sanitation coverage in developing countries and the performance of ODA. DESIGN: We explored inequality across developing countries by income level, and investigated how ODA for water and sanitation was committed by country, region, and income level. Changes in inequality were tested via slope changes by investigating the interaction of year and income level with a likelihood ratio test. A random effects model was applied according to the results of the Hausman test. RESULTS: = 0.1146). A similar pro-rich pattern across developing countries and a non-significant change in the slope associated with different economic levels were demonstrated for water coverage. Our analysis shows that the inequality of water and sanitation coverage among countries across the world has not been addressed effectively during the past decade. Our findings demonstrate that the countries with the least coverage persistently received far less ODA per capita than did countries with much more extensive water and sanitation coverage, suggesting that ODA for water and sanitation is poorly targeted. CONCLUSION: The most deprived countries should receive more attention for water and sanitation improvements from the world health community. A strong political commitment to ODA targeting the countries with the least coverage is needed at the global level
Business · Developing country · Development economics · Economic growth · Economics · Environmental health · Geography · Globe · Improved sanitation · Inequality · Millennium Development Goals · Per capita · Population · Sanitation · World Development Indicators · Child Nutrition and Water Access · Environmental Science · Global Maternal and Child Health · Healthcare Systems and Reforms · Mathematics · Medicine · Environmental Engineering
Association between Official Development Assistance for Water and Sanitation and Countries’ Needs from 2002 to 2019
Factors affecting sanitation coverage in three income levels and potential toward achieving SDG 6.2
Does economic growth reduce childhood stunting? A multicountry analysis of 89 Demographic and Health Surveys in sub-Saharan Africa
Have inequalities in all-cause and cause-specific child mortality between countries declined across the world
The State of the World's Children 2012
Global, regional, and national causes of child mortality in 2008
Global burden of childhood pneumonia and diarrhoea
Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015
Who Gives Foreign Aid to Whom and Why?
The Millennium Development Goals Report 2011
Measuring the magnitude of socio-economic inequalities in health
Motivations for aid to developing countries
Should I Use Fixed or Random Effects
| Citations per year | 0.57 |
|---|---|
| Citation span | 2019 - 2023 (5) |
| Highly cited | No |