Analyzing How AI impact Environmental Sustainability: Case Study for USA DOI Creative Commons

Ayodele Oluwaseun

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Abstract This study investigates the role of private investment in Artificial Intelligence (AI) promoting environmental sustainability United States from 1990 to 2019. It also analyzes impact financial globalization, technological innovation, and urbanization by testing Load Capacity Curve (LCC) hypothesis. The employs stationarity tests, which indicate that variables are free unit root problems exhibit mixed orders integration. Using Autoregressive Distributive Lag (ARDL) Model bound test, finds cointegrated long run. short-run long-run estimations ARDL model confirm existence LCC hypothesis States, revealing a U-shaped relationship between income load capacity factor. results show AI has significant positive correlation with factor, thus sustainability. Conversely, innovation globalization negative factor both short To validate estimation approach, Fully Modified OLS, Dynamic Canonical Correlation Regression methods, all support results. Additionally, Granger Causality test reveals unidirectional causal AI, economic growth,

Language: Английский

Nexus between Nuclear Energy, Economic Growth, and Greenhouse Gas Emissions in India DOI Creative Commons
Asif Raihan, Grzegorz Zimon, Mohammad Mahtab Alam

et al.

International Journal of Energy Economics and Policy, Journal Year: 2024, Volume and Issue: 14(2), P. 172 - 182

Published: March 15, 2024

The escalating demand for fossil fuels in India has resulted a significant strain on the environment due to amplified emissions of greenhouse gases (GHGs). Nevertheless, possesses capacity nuclear energy, as seen by its 22 operational reactors. This holds promise reducing GHG emissions. research utilized dataset spanning from 1969 2021 examine impact energy utilization study also aimed verify validity environmental Kuznets curve (EKC) hypothesis India, employing Autoregressive Distributive Lag (ARDL) model. findings suggest that EKC is applicable India. Furthermore, it been observed marginal increase 1% use leads reduction 0.02% immediate term and 0.16% long term. finding highlights significance expanding power crucial policy objective order attain environmentally friendly sustainable economic development.

Language: Английский

Citations

4

Enhancing climate action in OECD countries: the role of environmental policy stringency for energy transitioning to a sustainable environment DOI Creative Commons
Nudrat Fatima,

Hu Xuhua,

Hind Alnafisah

et al.

Environmental Sciences Europe, Journal Year: 2024, Volume and Issue: 36(1)

Published: Sept. 3, 2024

Climate change affects the world economy, environment, and human well-being, jeopardizing overall sustainability. The escalating impacts of climate emphasize necessity to assess moderating influence environmental policy stringency (EPS) on association energy transition (ET) GHG emissions from 1990 2020 across 36 OECD countries. Further, this study incorporates direct impact (ET), environmental-related technology (ERTs), green innovation (INV), Gross Domestic Product (GDP) emission. For purpose, employs an extensive range econometric techniques, including DOLS, FMOLS, CCR, MMQR approaches evaluate data attributes. findings demonstrate that interaction ET*EPS contributes lower −0.271% −0.300% all quantiles (20th 80th). This indicates implementation policies fosters adoption transitions mitigate negative effects change, particularly reduce emissions. technologies (ERTs) (INV) decrease by 0.15%–0.13% 0.967%–2.049%, respectively, quantiles, thus encouraging heterogeneous effect ERTs is due varying levels in sample highlight crucial need for integrating strictness measures effectively It highlights significance adaptive, responsive are line with SDGs 7 & 13, which concentrate sustainable practices integrated action economies.

Language: Английский

Citations

4

Balancing growth and sustainability: COP 28 policy implications of green energy, industrialization, foreign direct investment, and globalization in South Asia DOI

Muhammad Asif,

Nabila Amin, Muhammad Salman Shabbir

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 369, P. 122290 - 122290

Published: Sept. 4, 2024

Language: Английский

Citations

4

Are Pollution Control Bonds and Public Ownership Really Blessing for Utility Firms? DOI Creative Commons
Imen Khanchel, Naima Lassoued, Cyrine Khiari

et al.

Journal of Public Affairs, Journal Year: 2025, Volume and Issue: 25(1)

Published: Jan. 9, 2025

ABSTRACT The purpose of this study is to extend the existing literature on relationship between green financing and carbon footprints in utility firms. We specifically examine connection pollution control bonds (PCBs) efficiency (CE), as well whether public ownership moderates relationship. This based Data Envelopment Analysis (DEA) method with Variable Returns Scale measure CE firms by optimizing inputs while considering both desirable undesirable outputs. Specifically, uses three key input variables: labor, defined effective labor time employees; capital input, calculated using perpetual inventory method; energy use, which refers final consumption. include good outputs (represented net sales revenue) bad (quantified emissions). Using a sample 86 US that use PCBs, matched an equivalent number from 2011 2020, our findings indicate PCBs increase CE. Furthermore, we observe strengthens relationship, suggesting have consider role when addressing environmental challenges. Sensitivity analysis, taking into account significant reforms such Clean Power Plan (CPP) Affordable Energy (ACE), yields interesting results. during application periods CPP ACE align primary conclusions, though some variations. period demonstrates more pronounced effects than CPP, largely due ACE's flexible framework, alleviates financial regulatory pressures companies. Conversely, suspension yielded contrasting results, reducing result primarily because many continued depend traditional sources absence new mandatory regulations.

Language: Английский

Citations

0

Analyzing How AI impact Environmental Sustainability: Case Study for USA DOI Creative Commons

Ayodele Oluwaseun

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Abstract This study investigates the role of private investment in Artificial Intelligence (AI) promoting environmental sustainability United States from 1990 to 2019. It also analyzes impact financial globalization, technological innovation, and urbanization by testing Load Capacity Curve (LCC) hypothesis. The employs stationarity tests, which indicate that variables are free unit root problems exhibit mixed orders integration. Using Autoregressive Distributive Lag (ARDL) Model bound test, finds cointegrated long run. short-run long-run estimations ARDL model confirm existence LCC hypothesis States, revealing a U-shaped relationship between income load capacity factor. results show AI has significant positive correlation with factor, thus sustainability. Conversely, innovation globalization negative factor both short To validate estimation approach, Fully Modified OLS, Dynamic Canonical Correlation Regression methods, all support results. Additionally, Granger Causality test reveals unidirectional causal AI, economic growth,

Language: Английский

Citations

0