A Cost-Benefit Analysis of the Official Development Assistance Project on Maternal and Child Health in Kwango, DR Congo

Shon, Changwoo; Lee, Tae Ho; Ndombi, Grace Ossak; Nam, Eun Woo

doi:10.3390/ijerph15071420

Cited by 7 publications

(6 citation statements)

References 14 publications

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“…The analysis suggested that higher per capita aid for education significantly increases primary school enrollment, while increased domestic government spending on education does not. Shirazi et al (2010) suggested that the causal effects of aid and economic growth are positive impacts on education, life expectancy, and human development [35][36][37]. The results of Ranis et al (2000) were also similar.…”

Section: Oda Effectivenessmentioning

confidence: 87%

“…Most research has been largely based on case studies [37] of specific donor countries, but such studies have not conducted much specific statistical analysis, such as the types of aid program individually, to verify the determinants of aid concentration. Previous research has neglected the fact that sector-specific aid can be more effective than total aid with ineffective sub-aid programs and, furthermore, that each developing country has a unique combination of various sub-programs in ODA.…”

Section: Oda Effectivenessmentioning

confidence: 99%

“…The main topic of ODA is related to the effectiveness of the aid project and the development capacity of the recipient countries through aid. The theme has attracted the attention of many researchers due to the appearance of aid fatigue in 1990 and the end of the Cold War, which rationalized ideological aid [29][30][31][32][33][34][35][36][37]55]. This was a very controversial issue due to the effectiveness of aid and development.…”

Section: Policy Implications Of Oda Programsmentioning

confidence: 99%

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Searching for the Various Effects of Subprograms in Official Development Assistance on Human Development across 15 Asian Countries: Panel Regression and Fuzzy Set Approaches

2019

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Previous studies are limited in identifying the effectiveness of each country to seek sectoral support rather than integrated aid. However, it is hypothesized that sector-specific aid by Official Development Assistance (ODA) may be more effective than total aid. This study aims to identify the determinants of economic growth and the living standard levels in 15 Asian countries, focusing particularly on the effects of Official Development Assistance (ODA). In order to explore this research question, we have used two indexes: (1) the annual ODA grants to Korea, with aid type as the key independent variable; and (2) the human development index (HDI), to measure dependent variables from 2006 to 2016, across the 15 Asian countries. Special attention has been paid to understand which is more significant on human development, the effects of each type of aid program individually, and the whole amount of ODA assistance. We have constructed a panel model and a fuzzy set ideal type model to account in the data for qualitative attributes by recipient countries. We have found that the economic and social impacts of ODA on the basis of panel data are significant and that our instrumental variable (IV) method illustrates a statistically significant impact of the total ODA on the HDI of the recipient countries. By separating the total amount of ODA into economic and social sectors, we have found that specific programs of public service, medical care, and welfare are more likely to directly affect HDI. While the total amount of ODA still has a positive impact on HDI, education, health, and the public service field, aids also have significant effects on HDI. Although the effect of sector-specific aid in the water and sanitation field grant-aid is not significant in panel regression results, our fuzzy set method shows that, even if education aid is low, HDI is estimated to increase if the level of health and public service aid is high. Our empirical findings suggest that (1) sector-specific aid may be more effective than total aid with ineffective sub-aid programs and that (2) an optimally specific combination of various sub-programs in ODA may exist for each developing country.

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Section: Oda Effectivenessmentioning

confidence: 87%

Section: Oda Effectivenessmentioning

confidence: 99%

Section: Policy Implications Of Oda Programsmentioning

confidence: 99%

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Searching for the Various Effects of Subprograms in Official Development Assistance on Human Development across 15 Asian Countries: Panel Regression and Fuzzy Set Approaches

2019

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“…KOICA funded Yonsei Global Health Center (YGHC) to implement and evaluate this MCH project. YGHC, in a previous study, calculated the cost-benefit ratio (BCR) of this MCH project at 3.41, which means that the project was “more than 3 times more likely to provide benefits than cost” [15]. Although this project calculated the BCR, the impact of the MCH intervention project on the ANC service utilization by the reproductive-aged women in the DRC remains unknown.…”

Section: Introductionmentioning

confidence: 99%

Community-based maternal and child health project on 4+ antenatal care in the Democratic Republic of Congo: a difference-in-differences analysis

et al. 2019

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BackgroundDespite efforts to achieve the Millennium Development Goals, the maternal mortality ratio in the Democratic Republic of Congo was 693 per 100,000 in 2015—the 6th highest in the world and higher than the average (547 per 100,000) in sub-Saharan Africa. Antenatal care (ANC) service is a cost-effective intervention for reducing the maternal mortality ratio in low-income countries. This study aimed to identify the intervention effect of the maternal and child health care (MCH) project on the use of four or more (4+) ANC services.MethodsThe MCH project was implemented using the three delays model in Kenge city by the Ministry of Public Health (MoPH) of the DRC with technical assistance from Korea International Cooperation Agency (KOICA) and the Yonsei Global Health Center from 2014 to 2017. Furthermore, Boko city was selected as the control group. A baseline and an endline survey were conducted in order to evaluate the effectiveness of this project. We interviewed 602 and 719 participants in Kenge, and 150 and 614 participants in Boko in the baseline and endline surveys, respectively. We interviewed married reproductive-aged women (19–45 years old) in both cities annually. The study instruments were developed based on the UNICEF Multiple Indicator Cluster Surveys. This study used the homogeneity test and the binary logistic regression difference-in-differences method of analysis.ResultsThe odds of reproductive-aged women’s 4+ ANC service utilization at the intervention site increased 2.280 times from the baseline (OR: 2.280, 95% CI: 1.332–3.902, p = .003) as compared to the control site.ConclusionsThis study showed that the KOICA MCH project effectively increased the 4+ ANC utilization by reproductive-aged women in Kenge. As the 4+ ANC services are expected to reduce maternal deaths, this project might have contributed to reducing maternal mortality in Kenge. In the future, we expect these findings to inform MCH policies of the MoPH in the DRC.

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“…In addition, the government should strive to lower fees for outpatient care to encourage citizens to visit when sick before their conditions deteriorate. Some developing countries have conducted a cost benefit analysis of their healthcare [36]. A study by Muriithi [37] found out that user fees was among the key determinants of whether a patient is treated or not.…”

Section: Discussionmentioning

confidence: 99%

Predictors of Household Spending on Out-patient Expenses in Kenya

Mwenda¹,

Kosgei²,

Kerich³

et al. 2020

Preprint

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Spending on out-patient health care by citizens in limited resource countries has received little attention.The purpose of this study is to determine the predictors of household spending on out-patient expenses in a cross-sectional study in Kenya. We applied the GEE methods to determine the effect of various variables on outpatient care. We established that the best predictors for outpatient spending in Kenya are Age of the household head, wealth index, marital status and education, which had the lowest QICu of 976341.2. There were no differences on age in mean spending on outpatient care and was changing in a sinusoidal manner. The rich spend more on outpatient care, due to financial ability. Spending increased across the wealth quantiles while gender had a significant effect in the general performance of the models, it didn’t assist in lowering the QICu

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A Cost-Benefit Analysis of the Official Development Assistance Project on Maternal and Child Health in Kwango, DR Congo

Cited by 7 publications

References 14 publications

Searching for the Various Effects of Subprograms in Official Development Assistance on Human Development across 15 Asian Countries: Panel Regression and Fuzzy Set Approaches

Searching for the Various Effects of Subprograms in Official Development Assistance on Human Development across 15 Asian Countries: Panel Regression and Fuzzy Set Approaches

Community-based maternal and child health project on 4+ antenatal care in the Democratic Republic of Congo: a difference-in-differences analysis

Predictors of Household Spending on Out-patient Expenses in Kenya

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