Corrigendum to "Democracy, green energy, trade, and environmental progress in South Asia: Advanced quantile regression perspective" [Heliyon Volume 9, Issue 10, October 2023, Article e20488].

[This corrects the article DOI: 10.1016/j.heliyon.

Energy choices to health outcomes: A multidimensional analysis of risk in BRICS via PMG-ARDL approach.

This article employs a Panel Mean Group Autoregressive Distributed Lag (PMG-ARDL) approach to investigate the interaction between carbon dioxide (CO2) emissions, Gross Domestic Product (GDP), fossil fuel, renewable energy consumption, trade, and their collective impact on life expectancy within the BRICS nations. The research reveals compelling findings. Notably, CO2 emissions and trade openness exhibit negative and statistically significant impact on life expectancy.

Retraction notice to "Investigating the subsistence of environmental Kuznets curve in the midst of economic development, population, and energy consumption in Bangladesh: Imminent of ARDL model" [Heliyon 8 (2022) e10357]".

[This retracts the article DOI: 10.1016/j.heliyon.

Democracy, green energy, trade, and environmental progress in South Asia: Advanced quantile regression perspective.

Unquestionably, the industrial revolution of the twenty-first century contributes to global warming. Excessive amounts of carbon emissions into the atmosphere are responsible for global warming. Therefore, this research aims to assess the impact of GDP, green energy consumption, population, trade openness, and democracy on CO2 emissions in four selected South Asian countries from 1990 to 2019.

Does tourism have an impact on carbon emissions in Asia? An application of fresh panel methodology.

This research investigates the effects of tourism, GDP per capita, renewable energy, energy intensity, urbanization, and population on the environment in 40 Asian countries. Data from 1995 to 2019 are used in this analysis. Slope heterogeneity (SH), cross-sectional dependency (CSD), and the combination of level and first differenced stationary are all addressed using a new cross-sectionally autoregressive distributed lag (CS-ARDL) model in this work.

Evaluating a pathway for environmental sustainability: the role of energy mix and research and development in European countries.

Within the European Union (EU), the majority of countries are considered developed, and the level of economic activity is rising. As a result, carbon dioxide emissions have increased. If the European Union wants to maintain long-term, sustainable growth, it must act quickly to find solutions to pollution.

Evaluating the Influences of Health Expenditure, Energy Consumption, and Environmental Pollution on Life Expectancy in Asia.

This study examines the effects of health expenditure, energy consumption, CO emissions, population size, and income on health outcomes in 46 Asian nations between 1997 and 2019. Cross-sectional dependence (CSD) and slope heterogeneity (SH) tests are utilized due to the close linkages between Asian nations as a result of commerce, tourism, religion, and international agreements. The research uses unit root and cointegration tests of the second generation after validating CSD and SH issues.

Impact of FDI, industrialization, and education on the environment in Argentina: ARDL approach.

Purpose: This study employed the stochastic implications of regression on population, affluence, and technology (STIRPAT) methodology between 1972 and 2021. The main goal of this research is to look at how FDI, population growth, industrialization, and education affect the environment in Argentina.

Methodology: The F-bound test and Johansen cointegration test are employed in this research to determine if there is a co-integration association among the variables.

Investigating the EKC hypothesis with renewable energy, nuclear energy, and R&D for EU: fresh panel evidence.

The European Union (EU) is extremely concerned about the environmental harm caused by rising CO emissions and other factors. The EU has to uncover factors that decrease pollution before it's too late to achieve long-term sustainable growth. The paper applies the environmental Kuznets curve (EKC) hypothesis to examine the dynamic connection between GDP, energy use, energy intensity, research and development (R&D), and CO emissions.