scholarly journals Effects of Health Care Expenditure on the Infant Mortality Rate and Life Expectancy at Birth in Korea

2012 ◽  
Vol 8 (3) ◽  
pp. 52-56
Author(s):  
Hyun-Jae Rhee
Keyword(s):  
Health Care ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Life Expectancy ◽  
Health Care Expenditure ◽  
Infant Mortality Rate ◽  
Life Expectancy At Birth

Issues of Convergence

2016 ◽  
pp. 119-143 ◽  
Author(s):  
Maniklal Adhikary ◽  
Melisha Khatun
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Life Expectancy ◽  
Gross Domestic Product ◽  
Infant Mortality Rate ◽  
Domestic Product ◽  
Capita Gross Domestic Product ◽  
Life Expectancy At Birth ◽  
Per Capita ◽  
Conditional Beta

There is no point to disagree that inequality in recent time has come up as a growing social predicament in the world. This chapter endeavors to look into the issue of convergence in terms of per capita gross domestic product, infant mortality rate, life expectancy at birth and Human Development Index among eight member countries of South Asian Association of Regional Cooperation (SAARC) during the time frame 1990-2013. There has been an evidence of strong absolute beta divergence in terms of per capita gross domestic product and infant mortality rate. But the beta convergence in terms of life expectancy at birth and HDI has also been empirically evidenced. Strong evidence of conditional beta divergence conditioning on infant mortality rate exists in terms of PCGDP only for the time period 1990-1995. Sigma divergence implying dispersion among the countries in terms of PCGDP and IMR has risen over time. But sigma convergence has been found to exist for LEB and HDI.

scholarly journals Features of machine learning in the study of the main factors of development of countries of the world

2021 ◽  
Vol 110 ◽  
pp. 02006
Author(s):  
Ludmila Borisova ◽  
Galina Zhukova ◽  
Anna Kuznetsova ◽  
Julie Martin
Keyword(s):  
Machine Learning ◽  
Regression Analysis ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Life Expectancy ◽  
Infant Mortality Rate ◽  
Live Births ◽  
Goods And Services ◽  
Machine Learning Methods ◽  
The World

The paper analyzes the socio-economic and demographic indicators of life expectancy in the countries of the world. Methods of regression analysis and machine learning are used. Statistically significant indicators that affect life expectancy around the world have been identified. When analyzing the data using machine learning methods, 13 of the 14 analyzed indicators were statistically significant. Significant indicators, in addition to those selected in the regression analysis, were 3: the under-five infant mortality rate (per 1,000 live births), the Net Barter Terms of Trade Index (2000 = 100), and Imports of goods and services (in % of GDP) (in the regression analysis, only the infant death rate was significant). In addition, it should be noted that there is a significant decrease in the under-five infant mortality rate (per 1,000 live births) for the EU, CIS and South-East Asian countries compared to the border set in the study for all countries: 4.65 vs. 34.9, a decrease in the birth rate from 2.785 to 1.85, a sharp increase in exports of goods and services: from 23.17 to 80.59, a halving in imports of goods and services, a drop in population growth from 2.105 to 0.85. The performed statistical analysis strongly supports the use of machine learning methods in identifying statistically significant relationships between various indicators that characterize the development of countries, if there are gaps in the data.

Globalization and women’s and girls’ health in 192 UN-member countries

2016 ◽  
Vol 43 (7) ◽  
pp. 692-721 ◽  
Author(s):  
Deniz Gevrek ◽  
Karen Middleton
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Life Expectancy ◽  
Health Outcomes ◽  
Fixed Effects ◽  
Content Type ◽  
Life Expectancy At Birth ◽  
Adolescent Fertility ◽  
The Impact ◽  
The Relationship

Purpose – The purpose of this paper is to explore the relationship between the ratification of the United Nations’ (UN’s) Convention on the Elimination of All Forms of Discrimination against Women (CEDAW) and women’s and girls’ health outcomes using a unique longitudinal data set of 192 UN-member countries that encompasses the years from 1980 to 2011. Design/methodology/approach – The authors focus on the impact of CEDAW ratification, number of reports submitted after ratification, years passed since ratification, and the dynamic impact of CEDAW ratification by utilizing ordinary least squares (OLS) and panel fixed effects methods. The study investigates the following women’s and girls’ health outcomes: total fertility rate, adolescent fertility rate, infant mortality rate, maternal mortality ratio, neonatal mortality rate, female life expectancy at birth (FLEB), and female to male life expectancy at birth. Findings – The OLS and panel country and year fixed effects models provide evidence that the impact of CEDAW ratification on women’s and girls’ health outcomes varies by global regions. While the authors find no significant gains in health outcomes in European and North-American countries, the countries in the Northern Africa, sub-Saharan Africa, Southern Africa, Caribbean and Central America, South America, Middle-East, Eastern Asia, and Oceania regions experienced the biggest gains from CEDAW ratification, exhibiting reductions in total fertility, adolescent fertility, infant mortality, maternal mortality, and neonatal mortality while also showing improvements in FLEB. The results provide evidence that both early commitment to CEDAW as measured by the total number of years of engagement after the UN’s 1980 ratification and the timely submission of mandatory CEDAW reports have positive impacts on women’ and girls’ health outcomes. Several sensitivity tests confirm the robustness of main findings. Originality/value – This study is the first comprehensive attempt to explore the multifaceted relationships between CEDAW ratification and female health outcomes. The study significantly expands on the methods of earlier research and presents novel methods and findings on the relationship between CEDAW ratification and women’s health outcomes. The findings suggest that the impact of CEDAW ratification significantly depends on the country’s region. Furthermore, stronger engagement with CEDAW (as indicated by the total number of years following country ratification) and the submission of the required CEDAW reports (as outlined in the Convention’s guidelines) have positive impacts on women’s and girls’ health outcomes.

Immunization Coverage and Infant Mortality Rate in Developing Countries

1994 ◽  
Vol 7 (4) ◽  
pp. 228-232 ◽  
Author(s):  
Akira Shimouchi ◽  
Kotaro Ozasa ◽  
Kyohei Hayashi
Keyword(s):  
Health Care ◽  
Developing Countries ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Correlation Coefficients ◽  
Immunization Coverage ◽  
Infant Mortality Rate ◽  
Multiple Correlation ◽  
Primary Health ◽  
Multiple Correlation Coefficients

We examined whether immunization coverage (IMC) is one of the predictors of infant mortality rate (IMR), as a single indicator representing the availability of primary health care (PHC) services in developing countries. Multiple regression analysis showed that partial correlation coefficients for IMR with immunization coverage (-0.224), logarithm of per capita GNP (-0.294), total fertility rate (0.269), and adult literacy rate (-0.325) were all statistically significant (p < 0.001) in 97 developing countries which make up more than 97% of the population in all developing countries of the world. Multiple correlation coefficients of IMR with these four variables in 97 countries was 0.921. Thus, more than 80% of variation of IMR in developing countries were explained by the variation of the four variables. The study also showed that IMC was well correlated (simple correlation) with the four indicators of the availability of primary health care services: access to local care (0.730), care of pregnant women (0.603), delivery care (0.666), and infant care (0.553), all of which were statistically significant (p < 0.001) in the 48 developing countries which make up 42% of the population of all developing countries. Multiple correlation coefficients of these four variables was 0.787. About 60% of the variation of IMC will be explained by the variation of the four variables. Thus we conclude that immunization coverage is one of the main predictors of the infant mortality rate. It represents one of the health intervention components which can be used as a proxy indicator of the availability of PHC service in developing countries. Asia Pac J Public Health1994;7(4): 228-32.

scholarly journals ANALISIS PENGARUH ANGKA KEMATIAN BAYI TERHADAP ANGKA HARAPAN HIDUP DI PROVINSI JAWA TIMUR BERDASARKAN ESTIMATOR LEAST SQUARE SPINE

2019 ◽  
Vol 1 (1) ◽  
pp. 56
Author(s):  
Anies Yulinda W ◽  
Trias Novia L. ◽  
Melati Tegarina ◽  
Nur Chamidah
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Life Expectancy ◽  
Health Sector ◽  
Parametric Model ◽  
Least Square ◽  
Infant Mortality Rate ◽  
Nonparametric Model ◽  
High Flexibility ◽  
Model Approach

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.

PROBLEMS OF ASSESSING THE HEALTH CARE COSTS EFFECTIVENESS

2017 ◽  
Vol 11 (6) ◽  
pp. 137-151 ◽  
Author(s):  
Людмила Горшкова ◽  
Lyudmila Gorshkova
Keyword(s):  
Health Care ◽  
Life Expectancy ◽  
Health Care Costs ◽  
Public Expenditure ◽  
Health Care Expenditure ◽  
Important Indicator ◽  
Life Expectancy At Birth ◽  
Logarithmic Curve ◽  
The Cost ◽  
Care Costs

Assessing the effectiveness of health care expenditure is a major economic task. The most important indicator to assess the effectiveness of health care costs is the expected life expectancy (ELE). Infant mortality is also closely related to DLE. The article substantiates the logarithmic model of the dependence of ELE from health care expenditure (per person for a particular year). Each country is represented by a point on the coordinate plane with an ordinate equal to the ELE in this country and an abscissa equal to the health care expenditure in it. The modeling logarithmic curve is taken as the theoret-ical threshold of the cost-effectiveness: the higher the curve is the point repre-senting the country, the more effective the health care costs in this country, and the lower the threshold curve, the costs are more unprofitable. It is shown that the dependence of ELE from GDP (or GRP by regions of Russia) is not so obvious: although there is a tendency to such a dependence, but with a large number of drop-out values. Despite the achievement of the highest average expected life expectancy in Russia in the country's history, it is significantly lower than in developed countries. The main causes of low expected life expectancy at birth are unsatisfactory health indicators, and as a result, high incidence and disability. Traumatism on the roads and suicides are one of the significant reasons for the low expected life expectancy in Russia and are significantly higher than similar indicators in other countries. The article shows the close correlation between the cost of health care per person and expected life expectancy. However, in the Russian Federation, the share of public expenditure in the structure of aggregate health expenditure is decreasing. Social insurance funds are more than half of the health care public expenditure. The author reveals considerable regional differences in health spending per person and average expected life expectancy. The article highlights the insufficient level of health care costs in Russia as a whole and in regions.

DEMOGRAPHIC AND HEALTH PATTERNS IN A RURAL COMMUNITY FROM THE BASQUE AREA IN SPAIN (1800–1990)

2002 ◽  
Vol 34 (4) ◽  
pp. 541-558 ◽  
Author(s):  
MIGUEL A. ALFONSO SÁNCHEZ ◽  
VICTORIA PANERA MENDIETA ◽  
JOSÉ A. PEÑA ◽  
ROSARIO CALDERÓN
Keyword(s):  
Infant Mortality ◽  
Life Expectancy ◽  
Rural Community ◽  
Significant Proportion ◽  
Infant Mortality Rate ◽  
Effective Control ◽  
Malignant Neoplasms ◽  
Transitional Stage ◽  
Life Expectancy At Birth ◽  
Health Patterns

In this work, the evolution of demographic and health patterns in a Basque rural population from Spain is analysed, as they relate to progress in demographic and epidemiological transition. For this purpose, parochial record data on 13,298 births and 9215 deaths, registered during the 19th and 20th centuries (1800–1990), were examined. The study area is a rural community called Lanciego, which is located at the southern end of the Rioja Alavesa area (Alava Province, Basque Country). In Lanciego, demographic transition began in the final decade of the 19th century, when a definite, irreversible trend began towards a reduction in mortality. The decrease in the birth rate came later than that in the death rate, and did not start until the 1930s. The post-transitional stage seemed to be reached in the 1970s, when the birth and death rates showed values below 20 per 1000. Other characteristics observed for the post-transitional stage in Lanciego are: (i) very low rates of infant mortality achieved at the expense of effective control of exogenous mortality; (ii) the mortality curve by ages changes from a U-shape (typical of populations with a high infant mortality rate and low life expectancy at birth) to a J-shape more characteristic of modern societies where longevity and life expectancy are considerably higher; (iii) a certain level of over-mortality among women in the senior age group (>65); and (iv) a significant proportion of mortality in recent times (1970–90) resulting from cardiovascular diseases and malignant neoplasms (post-transition causes). This last point is in contrast with observations from the first four decades of the 20th century, when infectious diseases and respiratory ailments were determining factors in mortality among this population. The data provided by the study of the variation over time in demographic and health patterns indicate that reducing the risk of mortality is one of the most important preconditions for fertility decline.

scholarly journals Empirical analysis of the push factors of human capital flight in Nigeria

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oluwaseyi Popogbe ◽  
Oluyemi Theophilus Adeosun
Keyword(s):  
Human Capital ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Life Expectancy ◽  
Migration Rate ◽  
Infant Mortality Rate ◽  
Capital Flight ◽  
Push Factors ◽  
Content Type ◽  
Human Capital Flight

Purpose Human capital flight from Nigeria to developed countries has remained a topical issue. This paper aims to empirically analyze the push factors for the migrants who explore the various legal migrant schemes from a macro perspective. The authors examine human capital development and its role in contributing to human capital flight to more developed counties. Design/methodology/approach This paper is anchored on the push–pull model. Using secondary data from 1990 to 2019, the authors look at the relationship between human capital flight and variables such as life expectancy, infant mortality rate, population growth rate and Nigeria’s unemployment rate. The auto-regressive lag model (ARDL) was adopted to estimate the empirical relationship among these variables. Findings The results from the ARDL model suggest a positive relationship exists between population growth rate and migration rate. A negative relationship was, however, observed between life expectancy and migration rate. This study also found that an increase in the infant mortality rate negatively impacted migration significantly. Therefore, an increase in infant mortality rate lowered the migration rate. Finally, an increase in the unemployment rate increased migration; however, insignificantly. Research limitations/implications The findings from this study are limited to the push factors influencing migration out of Nigeria. These factors are also restricted to variables for which data can be derived under the study’s scope. The results of this study have far-reaching implications, especially for policymakers and citizens alike. Better human capital development through enhanced life expectancy and reduced population in Nigeria will reduce the migration rate. Therefore, this study calls for the doubling of developmental and infrastructural efforts at all levels of governance. Originality/value This paper’s importance lies in its ability to elucidate push factors that influenced migration out of Nigeria empirically. An empirical approach to the subject matter will explain these factors and the degree to which they influence migration. This will guide the policy-making process in curbing brain drain, which is a major challenge in Nigeria.

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