The Role of Socio-economic and Female Indicators on Child Mortality Rate in Bangladesh: A Time Series Analysis.

This study aims to identify the role of socio-economic and female indicators on child mortality in Bangladesh from the data of 1975 - 2019. A number of econometric techniques of time series analysis like Augmented Dickey-Fuller, Autoregressive Distributive Lag bounds and pair-wise Granger causality tests have been applied to ascertain the desired outcomes. The Augmented Dickey-Fuller test has confirmed that neither series is integrated at level two and the Autoregressive Distributive Lag bounds testing approach has shown the cointegration and short-run and long-run relationship between the variables. Total fertility rate and urbanization have a positive effect, and female education, female life expectancy at birth, and economic growth rate have a negative effect on the child mortality rate. The pair-wise Granger causality test has shown the unidirectional and bidirectional causal relationship among the studied variables. All the outcomes are theoretically consistent and the policy recommendations are made based on findings.

Socio-economic factors affecting high infant and child mortality rates in selected African countries: does globalisation play any role?

BACKGROUND: Despite the declining trends worldwide, infant and child mortality rates are still high in many African countries. These high rates are problematic; therefore, this study attempts to explore the contributing factors that cause high infant and child mortality rates in 14 African countries using panel data for the period of 2000-2018. In particular, the role globalisation is explored. METHODS: The panel corrected standard error (PCSE), the Feasible generalized least square (FGLS) models, and the pair-wise Granger causality test have been applied as methodological approaches. RESULTS: The public health expenditure, numbers of physicians, globalization, economic development, education, good governance, and HIV prevalence rate have been revealed as the determinants of infant and child mortality in these countries. All these variables except the HIV prevalence rate negatively affect the infant and child mortality rates, while the HIV prevalence rate is found to be positive. Bidirectional and unidirectional causal relationships between the variables are also attained. CONCLUSIONS: Effective socio-economic policy priority with due consideration of globalization should be emphasized to reduce infant and child mortality rates in these countries.

Effects of globalization, energy consumption and ICT on health status in Australia: the role of financial development and education.

BACKGROUND: The outbreak of COVID-19 has alerted governments around the world, including Australia, to think seriously about the health issues. Life expectancy is one of such issues. Therefore, this study tries to reveal the effects of globalization, energy consumption, information and communication technology, financial development, education rate, and economic growth on life expectancy at birth in Australia. METHODS: Using the data period of 1990-2018, a series of econometric techniques: the Dickey-Fuller generalized least square test, Autoregressive Distributive Lag bounds test, fully modified ordinary least square method and the pairwise Granger causality test, are applied. RESULTS: The findings disclose that globalization, renewable energy use, information and communication technology, per capita gross domestic product, education rate, and financial development increased during this period but non-renewable energy use reduced life expectancy at birth. Unidirectional causal associations of the studied variables with life expectancy at birth are also revealed. CONCLUSIONS: All the outcomes are relevant and useful for articulating an innovative policy in the health sector. The prime policy implication of this work is: the effective, efficient, and inclusive policies considering globalization, renewable and non-renewable energy consumption, information and communication technology, financial development, education rate, and economic growth should be formulated and executed for guaranteeing health status.

The role of access to electricity, female education, and public health expenditure on female health outcomes: evidence from SAARC-ASEAN countries.

BACKGROUND: The importance of the status of female health should have research priority due to the unique medical needs of women. Hence this paper attempts to explore the nexus of access to electricity, female education, and public health expenditure with female health outcomes in the SAARC-ASEAN countries. METHODS: Using the data of 2002-2018, and applying the cross-sectional dependence test, Modified Wald test, Wooldridge test, the Panel corrected standard error (PCSE) model, the Feasible generalized least square (FGLS) model, and the pair-wise Granger causality test, the robust outcomes on female health are found. RESULTS: Access to electricity, female education rate, public health expenditure, economic growth, and immunization rate, all have a positive effect on female life expectancy at birth, and a negative effect on the female adult mortality rate. The urbanization rate has a significantly positive impact on female life expectancy at birth but an insignificant impact on female adult mortality rate. The one-way causal relationship between the variables are also revealed. CONCLUSIONS: All the results are rational and have important milestone for the health sector. The health status of females should be improved and protected by formulating effective policies on access to electricity, female education, public health expenditure, immunization, economic growth, and urbanization.

The nexus between health status and health expenditure, energy consumption and environmental pollution: empirical evidence from SAARC-BIMSTEC regions.

BACKGROUND: The COVID-19 pandemic has highlighted the need for the betterment of health status, while also considering health expenditure, energy, and environmental issues. This paper examines the nexus between health status and health expenditure (both public and private), energy consumption and environmental pollution in the SAARC-BIMSTEC region. METHODS: We utilized the panel autoregressive distributed lag (ARDL) model, the heterogeneous panel causality test, the cross sectional dependence test, the cointegration test and the Pesaran cross sectional dependent (CADF) unit root test for obtaining estimated results from data over 16 years (2002-2017). RESULTS: Our results authorize the cointegration among the variables used, where the coefficients of energy consumption, public and private health expenditures, and economic growth are 0.027, 0.014, 0.030, and 0.029, respectively, and indicating positive and statistically significant effects. The coefficient of environmental pollution is - 0.085, implying significant negative effect on the health status of these regions in the long-run. However, no panel wise significant impact is found in the short-run. Bidirectional and unidirectional causal links between the studied variables and the health status are also identified.. CONCLUSIONS: The improved health status in the SAARC-BIMSTEC region needs to be protected by articulating the effective policies. The attained results are theoretically and empirically consistent, and have important policy implications in the health sector.

Is industrial pollution detrimental to public health? Evidence from the world's most industrialised countries.

BACKGROUND: Industrial pollution is considered to be a detrimental factor for human health. This study, therefore, explores the link between health status and industrial pollution for the top 20 industrialised countries of the world. METHODS: Crude death rate is used to represent health status and CO2 emissions from manufacturing industries and construction, and nitrous oxide emissions are considered to be indicators of industrial pollution. Using annual data of 60 years (1960-2019), an unbalanced panel data estimation method is followed where (Driscoll, J. C. et al. Rev Econ Stat, 80, 549-560, 1998) standard error technique is employed to deal with heteroscedasticity, autocorrelation and cross-sectional dependence problems. RESULTS: The research findings indicate that industrial pollution arising from both variables has a detrimental impact on human health and significantly increases the death rate, while an increase in economic growth, number of physicians, urbanisation, sanitation facilities and schooling decreases the death rate. CONCLUSIONS: Therefore, minimisation of industrial pollution should be the topmost policy agenda in these countries. All the findings are consistent theoretically, and have empirical implications as well. The policy implication of this study is that the mitigation of industrial pollution, considering other pertinent factors, should be addressed appropriately by enunciating effective policies to reduce the human death rate and improve health status in the studied panel countries.

Exploring the driving factors of economic growth in the world's largest economies.

This study explores the main factors of economic growth in a panel of the world's 20 biggest economies considering the data period of 39 years (1980-2018). In particular, the roles of international trade, energy use, human capital, and foreign direct investment (FDI) are examined in addition to the roles of capital and labour. To estimate the results the panel autoregressive distributed lag (ARDL) method of Pool Mean Group (PMG) estimator and heterogeneous panel causality test are used with due consideration of cross sectional dependence test, cointegration test and other necessary diagnostic tests. The obtained results ratify the cointegration among the variables used. Energy use, trade, capital, labour, human capital development and foreign direct investment have positive and significant impacts on the economic growth of these countries in the long run. In the short run energy use, trade and capital also have positive and significant effects, but human capital has negative effect on economic growth. A bidirectional causal relationship between economic growth and trade, capital, labour and human capital, and a unidirectional causal link from economic growth to energy use and foreign direct investment are also found. The obtained results are theoretically consistent, and therefore have important policy implications.