Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123568 - 123568
Published: Dec. 4, 2024
Language: Английский
Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123568 - 123568
Published: Dec. 4, 2024
Language: Английский
Natural Resources Forum, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 27, 2025
ABSTRACT This study examines how green energy, technological innovation, and tourism affect the volatility of carbon dioxide emissions in global economy, considering role globalization, economic growth, population. uses STIRPAT framework based on 1995–2019 dataset. In addition, augmented mean group estimator, fully modified ordinary least squares, dynamic method moments quantile regression are employed to analyze stated model. The results reveal that variables interrelate long run. Moreover, positively drives surge greenhouse gas across quantiles, robustly long‐run estimates obtained from other estimators. Green energy significantly mitigates upper quantiles Other covariates meet expected signs. this context, heterogeneity conditional distribution CO 2 is unveiled throughout examined. Likewise, analysis makes it possible verify functional roles current future environmental degradation. From results, some policy implications derived so respective governments can consider them. These measures focus boosting renewable resources attain sustainability.
Language: Английский
Citations
0Energy Efficiency, Journal Year: 2025, Volume and Issue: 18(4)
Published: April 1, 2025
Language: Английский
Citations
0Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 366, P. 121675 - 121675
Published: July 5, 2024
Language: Английский
Citations
3Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8602 - 8602
Published: Oct. 3, 2024
This research uses advanced statistical methods to examine climate change mitigation policies’ economic and environmental impacts. The primary objective is assess the effectiveness of carbon pricing, renewable energy subsidies, emission trading schemes, regulatory standards in reducing CO2 emissions, fostering growth, promoting employment. A mixed-methods approach was employed, combining regression analysis, cost–benefit analysis (CBA), computable general equilibrium (CGE) models. Data were collected from national global databases, sensitivity analyses conducted ensure robustness findings. Key findings revealed a statistically significant reduction emissions by 0.45% for each unit increase pricing (p < 0.01). Renewable subsidies positively correlated with 3.5% employment green sector 0.05). Emission schemes projected GDP 1.2% over decade However, chi-square tests indicated that disproportionately affects low-income households 0.05), highlighting need compensatory policies. study concluded balanced policy mix, tailored contexts, can optimise outcomes while addressing social equity concerns. Error margins projections remained below ±0.3%, confirming models’ reliability.
Language: Английский
Citations
3Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123568 - 123568
Published: Dec. 4, 2024
Language: Английский
Citations
3