scholarly journals Impact of Government Health Expenditure on Health Outcomes in the West African Sub-Region

2021 ◽  
Vol 21 (1) ◽  
pp. 48-59
Author(s):  
Rafiu Ayobanji Mustapha ◽  
Saidat Oluwatoyin Onikosi-Alliyu ◽  
Abdurrouf Babalola

Abstract Research background: Health outcome such as infant mortality rate is an important measure of the standard of living. It is a part of Millennium Development Goals, which all countries of the World strive to achieve, by allocating enormous economic resources to the health sector respectively. Purpose: The study assessed the impact of government expenditure on health and on health outcome (infant mortality rate) in the West Africa Sub-region. Research methodology: Secondary data were collected from 2000 to 2015 on thirteen countries in the Sub-region. Owing to the fact that the nature of the data involved is macro-panel data, the study performed the pre-estimation test (such as panel unit-root test and co-integration test) to ascertain the time series properties of the series. Based on the results of the pre-estimation tests, the work employed the fully modified ordinary least square (FMOLS). Results: It is found in the study that public health spending has an indirect impact on infant mortality rate in the West Africa Sub-region. Novelty: No extant study examined the impact of public expenditure on health and on maternal mortality rate using the West Africa Sub-region as an area of coverage. This study employed a fully modified OLS (FMOLS) to assess the impact of public expenditure on health and on infant mortality rate in the West Africa Sub-region.

2019 ◽  
Vol 118 (4) ◽  
pp. 129-141
Author(s):  
Mr. Y. EBENEZER

                   This paper deals with economic growth and infant mortality rate in Tamilnadu. The objects of this paper are to test the relationship between Per capita Net State Domestic Product and infant mortality rate and also to measure the impact of Per capita Net State Domestic Product on infant mortality rate in Tamil Nadu. This analysis has employed the ADF test and ARDL approach. The result of the study shows that IMR got reduced and Per capita Net State Domestic Product increased during the study period. This analysis also revealed that there is a negative relationship between IMR and the economic growth of Tamilnadu. In addition, ARDL bound test result has concluded that per capita Net State Domestic Product of Tamilnadu has long run association with IMR.


2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Mercy. T. Musakwa ◽  
N. M. Odhiambo

AbstractThe growing pressure on governments to reduce poverty among other Sustainable Development Goals (SDGs) through harnessing domestic and foreign sources has motivated studies on the relationship between poverty and different economic variables in many developing countries. This study investigates the impact of remittance on poverty in Botswana, employing time-series data from 1980 to 2017. The study employs two poverty proxies—household consumption expenditure and infant mortality rate to capture poverty in its multidimensional form and improve the robustness of the results. Using the autoregressive distributed lag (ARDL) approach, the study finds that remittance inflows reduce poverty in Botswana—both in the short run and in the long run when infant mortality rate is used as a proxy. However, when poverty is measured by household consumption expenditure, remittance was found to have no impact on poverty in the short run and in the long run. The study, therefore, concludes that remittance inflows play a crucial role in reducing poverty and that Botswana can benefit immensely from the surge in remittance inflows by putting in place policies and structures that support remittance inflow.


2019 ◽  
Vol 19 (2) ◽  
pp. 295-301
Author(s):  
Natalia Romero-Sandoval ◽  
Diego Del Alcázar ◽  
Jacob Pastor ◽  
Miguel Martín

Abstract Objectives: to analyze the difference among geographical units and the evolution of infant mortality rate (IMR) based on Ecuadorian censuses (1990-2001-2010). Methods: artificial Neural Network analyzed the impact of sociodemographic factors over the variability of IMR. Poisson regression analyzed the variation of the standardized IMR (sIMR). Results: the decrease in the national IMR was 63.8%; however, 42.8% provinces showed an increase in 2001-2010. The variability was explained mainly by illiteracy decrease. The adjusted RR between provincial sIMR with illiteracy and poverty revealed a trend towards the unit. Conclusions: the variation of IMR reflects a complex interaction of the sociodemographic factors.


Author(s):  
Anies Yulinda W ◽  
Trias Novia L. ◽  
Melati Tegarina ◽  
Nur Chamidah

Life expectancy can be used to evaluate the government's performance for improving the welfare of the population in the health sector. Life expectancy is closely related to infant mortality rate. Theoretically, decreasing of infant mortality rate will cause increasing of life expectancy. A statistical method that can be used to model life expectancy is nonparametric regression model based on least square spline estimator. This method provides high flexibility to accommodate pattern of data by using smoothing technique. The best estimated model is order one spline model with one knot based on minimum generalized cross validation (GCV) value of 0.607. Each increasing of one infant mortality rate unit will cause decreasing of life expectancy of  0.2314 for infant mortality rate less than 27, and of  0.0666 for infant mortality rate more than and equals to 27. In addition, based on mean square error (MSE) of 0.492 and R2value of 76.59% for nonparametric model approach compared with MSE of 0.634 and R2 value of 71.8%  for parametric model approach, we conclude that the use of nonparametric model approach based on least square spline estimator is better than that of parametric model approach.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mustapha Immurana

PurposeGhana is one of the countries instituting several measures toward attracting more Foreign Direct Investment (FDI) inflows. This is because, FDI is largely viewed as essential to socioeconomic development. However, while population health can influence FDI inflows, it has received very little attention. This study, therefore, investigates empirically, as to focusing on population health could be a useful tool in Ghana’s attempt to attract more FDI inflows.Design/methodology/approachThe study uses time series data on Ghana from 1980 to 2018 to achieve its objective. Life expectancy, death rate, infant mortality rate, under-five mortality rate and incidence of malaria are used as proxies for population health, while the Ordinary Least Square (OLS) and the Instrumental Variable Two-Stage Least Square (IV2SLS) regressions are employed as empirical estimation techniques.FindingsUsing the OLS regression, except the incidence of malaria, the study finds all the other population health indicators to significantly influence FDI inflows. However, after controlling for endogeneity using the IV2SLS regression, all population health indicators are found to be significant as regards their effects on FDI inflows.Practical implicationsPaying attention to population health could be an effective strategy that can be employed by policymakers in the quest to get more FDI inflows into Ghana.Originality/valueThis study, to the best of our knowledge, is the first study solely devoted to Ghana, which doing so helps in devising country-specific policies with regard to the effect of population health on FDI inflows. Further, this study becomes the first to use death rate, infant mortality rate and under-five mortality rate in examining the effect of population health on FDI inflows. Thus, since there are various causes of deaths, using indicators that capture deaths from all factors helps in giving a much broader picture with regard to the FDI population health nexus. Also, this study is the first to use up to five different population health indicators in examining the effect of population health on FDI inflows, which aids in revealing whether FDI is sensitive to the population health indicator used.


SAGE Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 215824402098331
Author(s):  
Mercy. T. Musakwa ◽  
N. M. Odhiambo

In this study, we investigate the impact of remittance inflows on poverty reduction in South Africa, using time series data from 1980 to 2017. The main objective of this study is to establish whether South Africa can harness remittance inflows to alleviate poverty. Two poverty proxies, namely household consumption expenditure and infant mortality rate, are used in this study. To ensure robustness of the results, both income and non-income proxies of poverty are employed. Using the autoregressive distributed lag (ARDL) bounds approach, the study found that remittance has a negative impact on poverty in the short run and in the long run when household consumption expenditure is used as a proxy for poverty. However, when the infant mortality rate is used as a proxy, remittance is found to have no impact on poverty. It can be concluded that the impact of remittance on poverty is sensitive to the proxy used. The study concludes that South Africa could benefit immensely from some forms of remittances in its quest to poverty alleviation.


2020 ◽  
Vol 13 (3) ◽  
pp. 239-248
Author(s):  
Bocong Yuan ◽  
Zhaoguo Wang ◽  
Jiannan Li

Purpose The West Africa coastal area faced with the serious health challenge is the most underdeveloped place. Through making the visualized spatial analysis of this area, this study aims to identify which factor of social vulnerability predominantly affects infant mortality. Design/methodology/approach This study uses the spatial data available from NASA-affiliated institution and a geographic information system for analysis. Findings This study reveals that the Poverty and Adaptive Capacity Index, as economic aspect of social vulnerability, is spatially correlated with the infant mortality rate, whereas the Population Exposure Index, as population aspect of social vulnerability, does not. Thus, the economic rather than population factor is probably the driving force of high infant mortality. Originality/value This study clarifies the determinant of infant mortality in the West Africa coastal area in space dimension.


2021 ◽  
Vol 4 (3) ◽  
pp. 85-97
Author(s):  
Babalola D.A. ◽  
Omeonu P.E. ◽  
Osuntade B.O. ◽  
Julius A.E. ◽  
Kalu I.

Sustainable implementation of policy to control malaria is sine qua non to reduce the infant mortality rate especially in agrarian economies like Nigeria where malaria is common. This study examined the relationship between infant mortality rate and government expenditure on malaria (GEM) (proxy for health policy as explanatory variable), per capita income, infrastructure development index (IDI), government expenditure on education and health (as control variables) using data from 1990 to 2019 obtained from the World Bank and African Development Bank database. The unit root test conducted showed that all the variables were not stationary at first difference. The co-integration test established a long run equilibrium relationship between the variables which suggested the use of the Error Correction Model. The analysis of the estimated coefficients in the model showed that IDI and GEM significantly reduce infant mortality rate at P<0.05. Improvement in government funding to control malaria and efforts to develop infrastructure especially in the rural agrarian communities is recommended.


2019 ◽  
Vol 6 (1) ◽  
pp. 32-37
Author(s):  
Tri Budi Rahayu

Background : High maternal mortality rate is a problem and a concern for all countries due to the impact effect on the economy, politics and policy development. As one of the efforts to reduce maternal mortality and infant mortality rate in Indonesia, KIA book as means of integration of maternal and child health services. Lack of knowledge of pregnant women about the KIA books utilization can increase the risk of maternal and infant mortality. Objective : This study aimed to determine the level of knowledge about the utilization of KIA book in pregnant women. Methods : This research was descriptive quantitative with cross sectional data collection. Univariat analysis was used for the data analysis. The sampling technique was total sampling with the number of 48 pregnant women. Results : The result of univariate analysis showed that 65% pregnant women had enough knowledge about the utilization of KIA book. Conclusion : The level of knowledge about the utilization of KIA book is categorized into enough category. Keywords : Knowledge, KIA book


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