The threat of global warming has increased due to industrialization, urbanization, population expansion, and changes in lifestyle among the Group of Seven(G7) Carbon dioxide emissions (CO₂) directly affect how much electricity can be generated from various sources. This research aims to identify environmental hazards associated with various energy sources. Analyzing the impact of various energy sources on CO₂ emissions from electricity and heat production using data from the G7. The data is analyzed using quantile regression (QR), generalized method of moments (GMM), random effects (RE), and fixed effects (FE). Our results indicate a substantial positive impact on CO₂ emissions regardless of the technology used to generate coal and gas power. Coal-fired power plants have a larger impact on the environment than other sources of emissions. Also, all coal and gas coefficients are significant in FE, RE, GMM, and QR. Oil coefficients have a negative impact on environmental degradation and are significant for FE, RE, and D-GMM regressions. Hydroelectric and renewable energy production can reduce CO₂ emissions in all regression models. Nuclear energy has a beneficial impact on the environment, but the coefficients are only significant for S-GMM and the last quantile. However, the most significant result of this study is the identification of a cause-and-effect relationship between CO₂ emissions and energy production. Carbon dioxide (CO₂) emissions can be lowered by shifting away from fossil fuels and toward renewable and hydroelectric sources. The research also suggests several renewable and alternative electricity production policies for sustainable energy.

The main purpose of this study was to examine how tourism, GDP, renewable energy, and fossil fuels cause environmental damage. This study examined ten African countries between 1997 and 2021 to test the environmental Kuznets curve (EKC) theory. Egypt, South Africa, Kenya, Morocco, Tanzania, Tunisia, Mauritius, Ghana, Uganda, and Nigeria are the ten African countries with the most tourists. In this paper, the augmented mean group (AMG), mean group (MG), and common correlated effects mean group (CCEMG) models were used to deal with slope heterogeneity (SH), cross-sectional dependence (CSD), and a mix of first-differenced and level stationary variables. Though the inverted U-shaped exists, the findings are significant only for MG. The impact of renewable energy is favorable for the environment and significant for the AMG estimator. Inversely, impact of tourist arrivals and fossil fuels are detrimental for environment and significant. Based on the findings for each country, the tourism-based EKC theory only works for Kenya, Egypt, and Tanzania. The research found that using more renewable energy minimizes CO₂ emissions more effectively in almost all countries except Morocco and Ghana. Ghana, Kenya, and Uganda’s CO₂ emissions increase when more tourists come from other countries. For the sake of both tourism and the environment, the government must reconsider its tourism policies and implement ones that include renewable energy. The findings of this study assist in the transition to clean energy, aiding in sustainable tourism growth. As a result, selected countries should develop a new tourism plan that focuses on renewable energy sources and protects the environment.

Mitigating global warming has been a challenge, and policymakers are responding to this issue by strengthening the commitment to enhance the renewable energy target from 20 to 31 percent in 2025 for Malaysia. However, adopting renewable energy in stages based solely on microeconomic factors, such as the price of energy, is insufficient. Thus, it is essential to investigate the macroeconomic variables that influence the share of renewable energy in Malaysia. In detail, this study introduces selected macroeconomic indicators, including gross domestic investment, domestic investment, foreign direct investment, trade openness, urbanization, financial development, and carbon emissions level, and their impact on renewable energy in Malaysia. The study utilized ARDL (Auto-Regressive-Distributed Lag) estimation based on annual time series data spanning 50 years of observations, beginning in 1971 and ending in 2020. Long-run elasticities show that greater economic development and urbanization increase the proportion of renewable energy. In contrast, increased foreign investment, trade liberalization, and carbon emissions could reduce the use of these clean energies. This paper concludes with a policy recommendation that could assist the country in achieving its goal of implementing a low-carbon, renewable energy-focused state policy.

Like other developing countries, Pakistan faces one of the most serious challenges of how to mitigate carbon emissions while achieving sustainable development. Although, it is widely accepted that the rising trend of carbon emissions and the resulting negative effects of climate change on human activities have emerged as major issues in recent years, the environmental effectiveness needed to clean the environment and promote sustainability is often overlooked. Using the PLSM 2018–2019 survey, this study attempts to examine the household sector’s renewable and non-renewable energy usage magnitude, and the share of renewable and non-renewable energy in Pakistan. Furthermore, this study examines the impact of income, household size, biomass, non-renewable energy, and clean energy on carbon emissions using the STIRPAT model. It is obvious from the empirical findings that the coefficient of income is positive, whereas the coefficient of income square is negative and statistically significant, which indicates that carbon emissions in the household sector increase at lower income levels, while decreasing as income increases. The household size shows that the population has a positive impact on carbon emissions. The impact of biomass, non-renewable, and clean energy is particularly appealing, as the household sector consumes more biomass and non-renewable energy, which stimulates carbon emissions to rise. In the rural sector, clean energy has a negative but statistically insignificant impact on carbon emissions, showing a greater reliance on biomass and non-renewable energy consumption. Lastly, it is suggested that reducing the use of non-renewable energy in the household sector while increasing the use of green energy could be a policy option for making the environment clean and sustainable.