Consequences of Information and Communication Technologies and Environmental Degradation on Health Expenditure.

This study aims to examine how the subcomponents and overall measurement of ecological footprint, as well as the use of information and communication technologies, affect health expenditures. For this study, the sample group consisted of the top 25 countries with the highest ecological footprint for the period 2000 to 2021. System GMM estimation results demonstrate that economic growth and ecological footprint have a positive impact on health expenditures.

Pandemics, Income Inequality, and Refugees: The Case of COVID-19.

Refugees are more vulnerable to COVID-19 due to factors such as low standard of living, accommodation in crowded households, difficulty in receiving health care due to high treatment costs in some countries, and inability to access public health and social services. The increasing income inequalities, anxiety about providing minimum living conditions, and fear of being unemployed compel refugees to continue their jobs, and this affects the number of cases and case-related deaths. The aim of the study is to analyze the impact of refugees and income inequality on COVID-19 cases and deaths in 95 countries for the year 2021 using Poisson regression, Negative Binomial Regression, and Machine Learning methods.

Effects of public expenditures on environmental pollution: evidence from G-7 countries.

In this study, the effect of public expenditures and, their sub-components on environmental pollution is discussed in G-7 countries. Two different periods were used in the study. These are the period 1997-2020 for general public expenditure, and the period 2008-2020 for public expenditure sub-components.

Convergence of per capita ecological footprint among BRICS-T countries: evidence from Fourier unit root test.

In recent years there has been a great deal of research into environmental pollution using a variety of techniques in response to growing environmental concerns. Convergence analysis, one of these techniques, helps determine whether the developing countries will catch up with the rich countries in pollution using unit root tests. However, the vast majority of the research in the field has generally used conventional unit root tests.

The Relationship between Health Expenditures and Economic Growth in EU Countries: Empirical Evidence Using Panel Fourier Toda-Yamamoto Causality Test and Regression Models.

The aim of this study is to investigate the effect of health expenditures on economic growth in the period 2000-2019 in 27 European Union (EU) countries. First, the causality relationship between the variables was analyzed using the panel Fourier Toda-Yamamoto Causality test. The findings demonstrate a bidirectional causality relationship between health expenditures and economic growth on a panel basis.

Socio-Economic, Demographic and Health Determinants of the COVID-19 Outbreak.

Objective: In this study, the effects of social and health indicators affecting the number of cases and deaths of the COVID-19 pandemic were examined. For the determinants of the number of cases and deaths, four models consisting of social and health indicators were created.

Methods: In this quantitative research, 93 countries in the model were used to obtain determinants of the confirmed cases and determinants of the COVID-19 fatalities.

Role of the Health System in Combating Covid-19: Cross-Section Analysis and Artificial Neural Network Simulation for 124 Country Cases.

In the fight against Covid-19, developed countries and developing countries diverge in success. This drew attention to the discussion of how different health systems and different levels of health spending are effective in combating Covid-19. In this study, the role of the health system in the fight against Covid-19 is discussed.