Abstract:Infant mortality in the Association of Southeast Asian Nations (ASEAN) has been declining, yet disparities remain between the nations. This paper therefore explores the determinants of infant mortality in the older ASEAN economies, Malaysia, Thailand, Indonesia and the Philippines. The key findings of the study are: First, there is evidence of long-run relationships among infant mortality, education, female fertility, income and access to healthcare. Second, the determinants of infant mortality vary between co… Show more
“…used panel cointegration technics in a sample of 21 Organization for Economic Cooperation and Development (OECD) countries over the period1975-2001, to explain the relationship between health care and expenditure and GDP. The negative relationship between per capita real GDP and infant mortality rate is also consonant with other studies such asSubramaniam et al (2018) Silva (2007). applied a panel stationarity test to the infant mortality rate in Australia from 1911 to 2002, which allows for disruptions in both the level and trend of the series.…”
supporting
confidence: 91%
“…For instance , Bishai, (1995), Dreger and Reimers (2005). Silva (2007), Erdoğan et al (2013), Gil-Alana et al (2017, Subramaniam et al (2018) and Yaya et al (2019) have all focused on the persistence of infant mortality in developed countries or Asian countries. Income poverty and health poverty might not necessarily follow the same directions and the determinants of the two components of poverty might not necessarily be the same (Musakwa and Odhiambo 2019).…”
This paper examines income poverty in Africa by looking at the time series properties of the series corresponding to the household consumer expenditures in 53 African countries.Using fractional integration the results indicate that the series are highly persistent, displaying orders of integration in the interval (0, 1) in some countries or values equal to or higher than 1 in some others. The main implication of the empirical findings is that long term policies aimed at addressing income poverty in the continent such as the policies on expansion of infrastructure and social amenities will have have long-lasting effects on poverty reduction.
“…used panel cointegration technics in a sample of 21 Organization for Economic Cooperation and Development (OECD) countries over the period1975-2001, to explain the relationship between health care and expenditure and GDP. The negative relationship between per capita real GDP and infant mortality rate is also consonant with other studies such asSubramaniam et al (2018) Silva (2007). applied a panel stationarity test to the infant mortality rate in Australia from 1911 to 2002, which allows for disruptions in both the level and trend of the series.…”
supporting
confidence: 91%
“…For instance , Bishai, (1995), Dreger and Reimers (2005). Silva (2007), Erdoğan et al (2013), Gil-Alana et al (2017, Subramaniam et al (2018) and Yaya et al (2019) have all focused on the persistence of infant mortality in developed countries or Asian countries. Income poverty and health poverty might not necessarily follow the same directions and the determinants of the two components of poverty might not necessarily be the same (Musakwa and Odhiambo 2019).…”
This paper examines income poverty in Africa by looking at the time series properties of the series corresponding to the household consumer expenditures in 53 African countries.Using fractional integration the results indicate that the series are highly persistent, displaying orders of integration in the interval (0, 1) in some countries or values equal to or higher than 1 in some others. The main implication of the empirical findings is that long term policies aimed at addressing income poverty in the continent such as the policies on expansion of infrastructure and social amenities will have have long-lasting effects on poverty reduction.
“…In fact, we found that a 10 per cent increase in per capita real GDP, on average, reduced infant mortality rates by approximately 0.2 per cent. This negative relationship between per capita real GDP and infant mortality rate is also consonant with that of previous studies (e.g., Gbesemete & Jonsson, 1993;Subramaniam et al, 2018;Zakir & Wunnava, 1999).…”
Section: Resultssupporting
confidence: 92%
“…This study will contribute to existing literature by looking at infant mortality from a broader perspective by using a global data set. In addition, it also proposes to introduce new explanatory variables in the form of technology and governance factors into its proposed model as the impact of these factors on infant mortality have not been critically evaluated in previous studies (Frey & Field, 2000;Mukherjee & Kizhakethalackal, 2013;Subramaniam, Loganathan, Yerushalmi, Devadason, & Majid, 2018;Wellington, 2014;Zakir & Wunnava, 1999) which have generally focused on the roles of gross domestic product (GDP), female education, female fertility and health quality in determining infant mortality rates. Good governance constituents such as political stability, effective governance, low corruption and elevated personal and property rights provide a secure environment that encourages stakeholders to invest in medical products and health-related infrastructure that eventually improve the overall quality of health services, thus contributing to reductions in infant mortality rates.…”
Understanding the factors associated with the infant mortality rate is essential as it may guide policymaking in efforts to alleviate the high incidence of infant mortality. The aim of this study is to explore the major determinants of the infant mortality rate with specific focus accorded to research and development (R&D) and governance quality. Our analysis utilizes unbalanced panel data from 122 countries from 2001 to 2013. Using the dynamic panel data generalized method of moments (GMM) estimator, we find that income, health spending, female education, technological progress and governance quality have significant negative impact on infant mortality rates. It can thus be surmised that policies to reduce infant mortality rates should focus upon improving the level of income, female education, health spending and governance quality, besides encouraging R&D activities.
“…Meanwhile, Figure 1b illustrates the maternal mortality rate in Indonesia, which experienced a decrease until 2007 but showed a leap in 2010. Apart from the constant decline from year to year, Indonesia is still ranked second in Southeast Asia after Laos for infant mortality rate (Subramaniam et. al., 2016).…”
Maternal and infant mortality are one of the most dangerous problems of the community since it can profoundly affect the number and composition of the population. Currently, the government has been taking heed on the attempt of reducing the number of maternal and newborn mortality in Central Java which requires data and information entirely. Poisson regression is a nonlinear regression that is often used to model the relationship between response variables in the form of discrete data with predictor variables in the form of discrete or continuous data. In space analysis, GWPR is one of method in space modeling which can model regional-based regression. It is based on some factors including the number of health facilities, the number of medical personnel, the percentage of deliveries performed with non-medical assistance; the average age of a woman's first marriage; the average education level of married women; average amount of per capita household expenditure; percentage of village status; the average rate of exclusive breastfeeding; percentage of households that have clean water and the percentage of poor people. Based on the analysis, it is revealed that the determinants of maternal and infant mortality in Central Java using Poisson and GWPR models, among others are the number of health facilities, the number of medical personnel, the average number of per capita household expenditure and the percentage of the poor. In the maternal and infant mortality model, the AIC value of GWPR model produces better modeling than Poisson regression. Keywords: Maternal and Infant mortality, Poisson, GWPR
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