When will the 2015 millennium development goal of infant mortality rate be finally realised? - Projections for 21 OECD countries through 2050

2018 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Yu Sang Chang ◽  
Jinsoo Lee ◽  
Hyuk Ju Kwon
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Oecd Countries ◽  
Millennium Development Goal ◽  
Infant Mortality Rate ◽  
Development Goal

The Effects of Health Expenditures to Decrease Infant Mortality Rates in OECD Countries

2020 ◽  
pp. 357-383 ◽  
Author(s):  
Funda Kara ◽  
İrfan Ersin
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Health Expenditure ◽  
Panel Cointegration ◽  
Mortality Rates ◽  
Oecd Countries ◽  
Infant Mortality Rate ◽  
Annual Data ◽  
Causality Analysis ◽  
Analysis Process

There is a positive relationship between the health level of the society and its economic development. The main reason is that improving quality of the lives and increasing lifetime has lead to higher economic performance. This evaluates the relationship between health expenditure and infant mortality rate in OECD countries. In the analysis process, 20 different countries in the OECD are selected and annual data of these countries for the years between 1980 and 2017 is evaluated with the help of Kao panel cointegration and Dumitrescu-Hurlin causality analysis. The findings show that there is long term relationship between health expenditure and infant mortality rates in OECD countries. Another important conclusion is that there is a causality analysis from health expenditure to the infant mortality rate. While considering these results, it is recommended that OECD countries should take some actions in order to increase health expenditure so that it can be possible to decrease infant mortality rate.

scholarly journals State Downsizing as a Determinant of Infant Mortality and Achievement of Millennium Development Goal 4

2009 ◽  
Vol 39 (2) ◽  
pp. 389-403 ◽  
Author(s):  
Marco Antonio Palma-Solís ◽  
Carlos Álvarez-Dardet Díaz ◽  
Álvaro Franco-Giraldo ◽  
Ildefonso Hernández-Aguado ◽  
Santiago Pérez-Hoyos
Keyword(s):  
Income Inequality ◽  
Infant Mortality ◽  
World Bank ◽  
Retrospective Cohort ◽  
Mortality Rates ◽  
Millennium Development Goal ◽  
Infant Mortality Rate ◽  
Washington Consensus ◽  
Multiple Logistic Regression ◽  
Development Goal

The aim of this study was to evaluate the worldwide effect of state downsizing policies on achievement of U.N. Millennium Development Goal 4 (MDG4) on infant mortality rates. In an ecological retrospective cohort study of 161 countries, from 1978 to 2002, the authors analyzed changes in government consumption (GC) as determining exposure to achievement of MDG4. Descriptive methods and a multiple logistic regression were applied to adjust for changes in gross domestic product, level of democracy, and income inequality. Excess infant mortality in the exposed countries, attributable to reductions in GC, was estimated. Fifty countries were found to have reduced GC, and 111 had increased GC. The gap in infant mortality rate between these groups of countries doubled in the study period. Non-achievement of MDG4 was associated with reductions in GC and increases in income inequality. The excess infant mortality attributable to GC reductions in the exposed countries from 1990 to 2002 was 4,473,348 deaths. The probability of achieving MDG4 seems to be seriously compromised for many countries because of reduced public sector expenditure during the last 25 years of the 20th century, in response to World Bank/International Monetary Fund Washington Consensus policies. This seeming contradiction between the goals of different U.N. branches may be undermining achievement of MDG4 and should be taken into account when developing future global governance policy.

Perbandingan Linieritas Dalam Pendeteksian Faktor-Faktor Yang Mempengaruhi Angka Kematian Bayi Di Provinsi Aceh

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Desfira Ahya ◽  
Inas Salsabila ◽  
Miftahuddin
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Linear Model ◽  
Health Workers ◽  
Additive Model ◽  
Infant Mortality Rate ◽  
Mortality Data ◽  
Important Indicator ◽  
Penalized Spline ◽  
Aceh Province

Angka Kematian Bayi/ Infant Mortality Rate (IMR) merupakan indikator penting dalam mengukur keberhasilan pengembangan kesehatan. Nilai IMR juga dapat digunakan untuk mengetahui tingkat kesehatan ibu, kondisi kesehatan lingkungan dan secara umum, tingkat pengembangan sosio-ekonomi masyarakat. Penelitian ini bertujuan untuk memperoleh model IMR terbaik menggunakan tiga pendekatan: Model Linear, Model Linear Tergeneralisir dan Model Aditif Tergeneralisir dengan basis P-spline. Sebagai tambahan, berdasarkan model tersebut akan terlihat variabel yang mempengaruhi tingkat kematian bayi di provinsi Aceh. Penelitian ini menggunakan data jumlah kematian bayi di tahun 2013-2015. Data dalam penelitian ini diperoleh dari Profil Kesehatan Aceh. Hasil menunjukkan bahwa model terbaik dalam menjelaskan angka kematian bayi di provinsi Aceh tahun 2013-2015 ialah Model Linear Tergeneralisir dengan basis P-spline menggunakan parameter penghalusan 100 dan titik knots 8. Faktor yang sangat mempengaruhi angka kematian ialah jumlah pekerja yang sehat.   Infant mortality rate (IMR) is an important indicator in measuring the success of health development. IMR also can be used to knowing the level of maternal health, environmental health conditions and generally the level of socio-economic development in community. This research aims to get the best model of infant mortality data using three approaches: Linear Model, Generalized Linear Model and Generalized Additive Model with Penalized Spline (P-spline) base. In addition, based on the model can be seen the variables that affect to infant mortality in Aceh Province. This research uses data number of infant mortality in Aceh Province period 2013-2015. The data in this research were obtained from Aceh’s Health Profile. The results show that the best model can be explain infant mortality rate in Aceh Province period 2013-2015 is GAM model with P-spline base using smoothing parameter 100 and knots 8. Factor that high effect to infant mortality is number of health workers.

Empirical analysis of factors influencing the public health expenditure in Malaysia

2018 ◽  
Vol 6 (3) ◽  
pp. 1
Author(s):  
Kok Wooi Yap ◽  
Doris Padmini Selvaratnam
Keyword(s):  
Public Health ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Expenditure ◽  
Price Index ◽  
Infant Mortality Rate ◽  
Public Health Expenditure ◽  
The Public ◽  
Empirical Results ◽  
Per Capita

This study aims to investigate the determinants of public health expenditure in Malaysia. An Autoregressive Distributed Lag (ARDL) approach proposed by Pesaran & Shin (1999) and Pesaran et al. (2001) is applied to analyse annual time series data during the period from 1970 to 2017. The study focused on four explanatory variables, namely per capita gross domestic product (GDP), healthcare price index, population aged 65 years and above, as well as infant mortality rate. The bounds test results showed that the public health expenditure and its determinants are cointegrated. The empirical results revealed that the elasticity of government health expenditure with respect to national income is less than unity, indicating that public health expenditure in Malaysia is a necessity good and thus the Wagner’s law does not exist to explain the relationship between public health expenditure and economic growth in Malaysia. In the long run, per capita GDP, healthcare price index, population aged more than 65 years, and infant mortality rate are the important variables in explaining the behaviour of public health expenditure in Malaysia. The empirical results also prove that infant mortality rate is significant in influencing public health spending in the short run. It is noted that macroeconomic and health status factors assume an important role in determining the public health expenditure in Malaysia and thus government policies and strategies should be made by taking into account of these aspects.

Measuring Effectiveness Of Economic Growth On Reducing Infant Mortality Rate In Tamilnadu

2019 ◽  
Vol 118 (4) ◽  
pp. 129-141
Author(s):  
Mr. Y. EBENEZER
Keyword(s):  
Economic Growth ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Negative Relationship ◽  
Infant Mortality Rate ◽  
Domestic Product ◽  
Per Capita ◽  
The Impact ◽  
Adf Test ◽  
Bound Test

                   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.

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