Leveraging AI for a Greener Future: Exploring the Economic and Financial Impacts on Sustainable Environment in the United States DOI Creative Commons
Mohammad Ridwan,

Shewly Bala,

Sarder Abdulla Al Shiam

et al.

Journal of Environmental Science and Economics, Journal Year: 2024, Volume and Issue: 3(3), P. 1 - 30

Published: Aug. 25, 2024

In response to increasing environmental challenges, the United States has deliberately adopted technical advancements promote sustainable development. This includes efforts decrease pollution, improve energy efficiency, and encourage use of environmentally friendly technology in different industries. study investigates role Artificial Intelligence (AI) promoting sustainability from 1990 2019. It also examines impacts financial development, ICT use, economic growth on Load Capacity Factor (LCF). Various unit root tests revealed no issues mixed integration orders among variables. The Autoregressive Distributive Lag (ARDL) model explored cointegration, indicating long-run relationships ARDL findings confirm Curve hypothesis for States, with AI positively correlating LCF both short long run. Conversely, development population significantly reduce LCF. Robustness checks using FMOLS, DOLS, CCR estimation approaches align results. Granger causality reveal unidirectional growth, AI, bidirectional between Diagnostic results are free heterogeneity, serial correlation, specification errors. underscores importance enhancing while highlighting adverse

Language: Английский

Technological innovation, trade openness, natural resources, clean energy on environmental sustainably: a competitive assessment between CO2 emission, ecological footprint, load capacity factor and inverted load capacity factor in BRICS+T DOI Creative Commons
Jie Sun,

Md. Qamruzzaman

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 12

Published: Feb. 4, 2025

The study investigates the relationship between technological innovation, clean energy, trade openness, and natural resource rents on environmental sustainability within BRICS + T nations. Motivated by urgent need to address escalating CO2 emissions—reaching 36.4 billion metric tons in 2022—the research aims understand how these factors influence emissions, ecological footprint, load capacity factor, its inverse, contributing Sustainable Development Goals (SDGs). uses panel data from countries spanning period 1990 2022. Employing advanced econometric techniques such as Dynamic Seemingly Unrelated Regression (DSUR), Cross-Sectionally Augmented Panel Unit Root (CUP-FM, CUP-BC), nonlinear autoregressive distributed lag (ARDL) models, tests Environmental Kuznets Curve (EKC) hypothesis evaluates asymmetric effects of variables. Key findings indicate that innovation consistently reduces emissions footprints, reinforcing role promoting through cleaner technologies more efficient industrial processes. Clean energy adoption has also been shown be a significant driver reducing degradation, with consistent negative while improving factor. However, openness exhibits dual effect. While it enhances use efficiency, simultaneously increases likely due heightened activity. Natural display mixed results: some cases, they exacerbate others, contribute funding eco-friendly initiatives. recommends nations prioritize investments green technologies, strengthen regulations, enhance international collaboration accelerate transition renewable energy. Policymakers should balance benefits stricter standards mitigate adverse sustainability. These integrated strategies are essential for achieving targets outlined SDGs.

Language: Английский

Citations

2

The Nexus Between Technological Innovations, Foreign Direct Investment, and Carbon Emissions: Evidence from Global Perspective DOI

Haitao Fan,

Yulu Zheng, Xingyu Li

et al.

Journal of the Knowledge Economy, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 9, 2025

Language: Английский

Citations

1

Leveraging AI for a Greener Future: Exploring the Economic and Financial Impacts on Sustainable Environment in the United States DOI Creative Commons
Mohammad Ridwan,

Shewly Bala,

Sarder Abdulla Al Shiam

et al.

Journal of Environmental Science and Economics, Journal Year: 2024, Volume and Issue: 3(3), P. 1 - 30

Published: Aug. 25, 2024

In response to increasing environmental challenges, the United States has deliberately adopted technical advancements promote sustainable development. This includes efforts decrease pollution, improve energy efficiency, and encourage use of environmentally friendly technology in different industries. study investigates role Artificial Intelligence (AI) promoting sustainability from 1990 2019. It also examines impacts financial development, ICT use, economic growth on Load Capacity Factor (LCF). Various unit root tests revealed no issues mixed integration orders among variables. The Autoregressive Distributive Lag (ARDL) model explored cointegration, indicating long-run relationships ARDL findings confirm Curve hypothesis for States, with AI positively correlating LCF both short long run. Conversely, development population significantly reduce LCF. Robustness checks using FMOLS, DOLS, CCR estimation approaches align results. Granger causality reveal unidirectional growth, AI, bidirectional between Diagnostic results are free heterogeneity, serial correlation, specification errors. underscores importance enhancing while highlighting adverse

Language: Английский

Citations

3