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.

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.

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.

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).

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 CO emissions from manufacturing industries and construction, and nitrous oxide emissions are considered to be indicators of industrial pollution.

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 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.