Infant Mortality and Income per Capita of World Countries for 1998–2016: Analysis of Data and Modeling by Increasing Returns

Author(s):  
I. C. Demetriou ◽  
P. C. Tzitziris
2018 ◽  
Vol 6 (3) ◽  
pp. 1
Author(s):  
Kok Wooi Yap ◽  
Doris Padmini Selvaratnam

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.


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.


2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Veny Anindya Puspitasari

<p>The minimum wage is a macroeconomic issue that is still debated, Basically, the minimum wage policy aimed to protect workers, so that thet earn an adequate wages to finance the basic needs of their life. Practically, the minimum wage policy often encounters its purpose because it is regarged as miserable for those who have no expertise. This phenomenon is mainly happening in the low –avegrage- income countries that have many unskilled workers. Gahana, Indonesia, Costra Rica were used to be analyzed in this paper. According to International Water Association data year 2006, those countris earn income per capita less than US$ 9,200 and were categorized as low average – income countries. This research found that minimum wage impelentation in all three countries was not effective. When minimum wage policy was implemented, a lot of people felt aggrieved.</p><p>Keywords : Economic polict, Minimum wage, Income</p>


Author(s):  
Dominika Kuberska ◽  
Karolina Suchta

The aim of the study was to unveil the specifics of consumer behavior on the certified baby food market, in particular with regard to their determinants. A questionnaire was used as a tool to conduct this study. A unique nature of the relationship between the buyer and the consumer on the market (a mother and a child) could have influenced the results obtained. Price is not the key determinant of behavior of buyers on the market. In addition, there is no correlation between the net income per capita and household expenditure on certified baby food.


2021 ◽  
Vol 16 (2) ◽  
pp. 266-285
Author(s):  
Jack A. Goldstone

AbstractNew data on Dutch and British GDP/capita show that at no time prior to 1750, perhaps not before 1800, did the leading countries of northwestern Europe enjoy sustained strong growth in GDP/capita. Such growth in income per head as did occur was highly episodic, concentrated in a few decades and then followed by long periods of stagnation of income per head. Moreover, at no time before 1800 did the leading economies of northwestern Europe reach levels of income per capita much different from peak levels achieved hundreds of years earlier in the most developed regions of Italy and China. When the Industrial Revolution began in Britain, it was not preceded by patterns of pre-modern income growth that were in any way remarkable, neither by sustained prior growth in real incomes nor exceptional levels of income per head. The Great Divergence, seen as the onset of sustained increases in income per head despite strong population growth, and achievement of incomes beyond pre-modern peaks, was a late occurrence, arising only from 1800.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alexandre Bugelli ◽  
Roxane Borgès Da Silva ◽  
Ladislau Dowbor ◽  
Claude Sicotte

Abstract Background Despite the implementation of a set of social and health policies, Brazil has experienced a slowdown in the decline of infant mortality, regional disparities and persistent high death levels, raising questions about the determinants of infant mortality after the implementation of these policies. The objective of this article is to propose a methodological approach aiming at identifying the determinants of infant mortality in Brazil after the implementation of those policies. Method A series of multilevel panel data with fixed effect nested within-clusters were conducted supported by the concept of health capabilities based on data from 26 Brazilian states between 2004 and 2015. The dependent variables were the neonatal, the infant and the under-five mortality rates. The independent variables were the employment rate, per capita income, Bolsa Família Program coverage, the fertility rate, educational attainment, the number of live births by prenatal visits, the number of health professionals per thousand inhabitants, and the access to water supply and sewage services. We also used different time lags of employment rate to identify the impact of employment on the infant mortality rates over time, and household income stratified by minimum wages to analyze their effects on these rates. Results The results showed that in addition to variables associated with infant mortality in previous studies, such as Bolsa Família Program, per capita income and fertility rate, other factors affect child mortality. Educational attainment, quality of prenatal care and access to health professionals are also elements impacting infant deaths. The results also identified an association between employment rate and different infant mortality rates, with employment impacting neonatal mortality up to 3 years and that a family income below 2 minimum wages increases the odds of infant deaths. Conclusion The results proved that the methodology proposed allowed the use of variables based on aggregated data that could hardly be used by other methodologies.


2019 ◽  
Vol 1 (2) ◽  
pp. 589
Author(s):  
Rilla Mariska ◽  
Dewi Zaini Putri

This study aims to find out determine of child welfare in Indonesia by using Composite Children Welfare Index. The data used are secondary data in the form of cross section in 2015, with documentation data collection techniques and library studies obtained from relevant institutions and agencies. The variables used are Child Welfare, Income per capita, Income Distribution, Female Literacy Rate, Goverment Expenditure in education and health sector. The research methods used are: (1) Ordinary Least Square (OLS) Analysis, (2) Classical Assumption Test. The results of the study show that (1) Income per capita is positive and not significant on the child welfare in Indonesia. (2) Income distribustion is positive and significant on the child welfare in Indonesia. (3) Female Literacy Rate is positive and significant on the child welfare in Indonesia. (4) Goverment expenditure in education sector is negative and not significant on the child welfare in Indonesia(5) Goverment expenditure in health sector is negative and not significant on the child welfare in Indonesia(5) Income per capita, distribution income, female literacy rate, and goverment expenditure in eduacation and health statistically significant on the child welfare. So, only income distribution and female rate literacy is significant on the child welfare.


2020 ◽  
Vol 2 (1) ◽  
pp. 107
Author(s):  
Nesyana Dewi ◽  
Melti Roza Adry

This study aims to determine the effect of education, income per capita, age and knowledge on waste management in urban areas West Sumatera. This study uses secondary data in the form of cross section data of urban West Sumatera. Data obtained from BPS- Susenas West Sumatera. This study uses logistic regression analysis. The result of this study indicate that (1) education has not significant effect on waste management in urban areas West Sumatera (2) income per capita has not significant effect on waste management  in urban areas West Sumatera (3) age has not significant effect on waste management in urban areas West Sumatera (4) knowledge has a significant effect on waste management in urban areas West Sumatera


2020 ◽  
Vol 35 (2) ◽  
pp. 137
Author(s):  
Kalies Sirieh Puspitowati ◽  
Deden Dinar Iskandar

This study aims to analyze the determinants of the structural transformation in ASEAN countries. This study uses quantitative panel data from 9 countries in ASEAN from 2000 to 2017, thus makes up for 162 observations. This study employs panel data regression analysis with fixed effect model approach. In this study, the shifting of sectoral value added away from agriculture sectors indicates structural transformation. In particular, sectoral value added consists of the industrial value added and service value added. The results of this study shows that dependency ratio, income per capita, education, and trade significantly affect the increase of industrial value added during observation period. On the other hand, total population, dependency ratio, income per capita, education, control of corruption, and trade significantly increase the service value added over time.


Sign in / Sign up

Export Citation Format

Share Document