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

An investigation into the primary causes of carbon dioxide releases in Kenya: Does renewable energy matter to reduce carbon emission? DOI Creative Commons
Liton Chandra Voumik, Mohammad Ridwan, Md. Hasanur Rahman

et al.

Renewable energy focus, Journal Year: 2023, Volume and Issue: 47, P. 100491 - 100491

Published: Sept. 10, 2023

This study estimates the effects of gross domestic product (GDP), population, renewable energy consumption, fossil fuels, and foreign direct investment (FDI) on Kenya's carbon emissions by considering time series data from 1972 to 2021. investigation makes use "Autoregressive Distributed Lag (ARDL)" method, which is grounded in theoretical framework "Stochastic Impacts Regression Population, Affluence, Technology" model known as STIRPAT model. According empirical results, variables have long-run cointegration. lends credence earlier research demonstrating that a rise GDP population can increase country's CO2 emissions. All estimation methods used this also demonstrated growth has negative impact emissions, while positive effect long run. In context ARDL, fuels but not statistically significant. Achieving sustainable development required significant investments infrastructure because reduces Based these findings, policymakers make informed decisions about energy.

Language: Английский

Citations

62
The Impact of Fossil Fuels, Renewable Energy, and Nuclear Energy on South Korea’s Environment Based on the STIRPAT Model: ARDL, FMOLS, and CCR Approaches DOI Creative Commons
Grzegorz Zimon, Dulal Chandra Pattak, Liton Chandra Voumik

et al.

Energies, Journal Year: 2023, Volume and Issue: 16(17), P. 6198 - 6198

Published: Aug. 25, 2023

This study intends to shed light on the environmental impacts of energy decisions in South Korea by analyzing correlation between consumption patterns and indicators such as carbon dioxide emissions. In 2021, global CO2 emissions increased 6%—to highest ever level 36.3 billion tons—according International Energy Agency (IEA). increase is a big problem for all countries around world. The aim this article an analyze impact fossil fuels, renewable energy, nuclear Korea’s environment based STIRPAT (stochastic regression population, affluence, technology) model. Exploring intricate nexus economic outcomes, employs model influence GDP, population dynamics, environment. yearly data from 1972 2021 are analyzed paper using autoregressive distributed lag (ARDL) reliability also examined employing FMOLS (fully modified ordinary least squares) CCR (canonical cointegrating regression) estimators. confirms findings previous research showing that rising GDP can lead higher strategy switching cut down Korea, it exhibits coefficient −0.085 *. robustness results CCR’s support baseline ARDL findings.

Language: Английский

Citations

43
Democracy, green energy, trade, and environmental progress in South Asia: Advanced quantile regression perspective DOI Creative Commons

Tasnim Sultana,

Md. Shaddam Hossain,

Liton Chandra Voumik

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 9(10), P. e20488 - e20488

Published: Sept. 29, 2023

Unquestionably, the industrial revolution of twenty-first century contributes to global warming. Excessive amounts carbon emissions into atmosphere are responsible for Therefore, this research aims assess impact GDP, green energy consumption, population, trade openness, and democracy on CO2 in four selected South Asian countries from 1990 2019. This also attempts evaluate EKC hypothesis terms economic growth (GDP2). The unit root panel data cointegration tests executed study as a prelude regression analysis. Quantile data, which (Powell, 2016) devised deal with fixed effect problem, is used study, empirical findings main focus. estimated coefficient GDP positively significant, demonstrating that activity increases burning fossil fuels upsurges atmospheric emissions. After attaining development, reversed U-shaped theory valid countries. Economic development encourages these use technology, helps mitigate research, however, reveals blame Burning biomass releases dioxide negatively impacts quality environment. confirms human activities leading contributor environmental deterioration. Population has worsening association between population significant. openness positive, significantly. quite negative. suggests prioritizing reduce Citizens who live democracies better informed, more organized, able protest, all contribute increased government responsiveness preservation. results Wald test support differential effects at various quantiles. Dumitrescu-Hurlin (2012) causality analysis check variables. Based findings, makes many policy suggestions lowering

Language: Английский

Citations

25
Toward a sustainable future: Examining the interconnectedness among Foreign Direct Investment (FDI), urbanization, trade openness, economic growth, and energy usage in Australia DOI Creative Commons
Liton Chandra Voumik, Md. Hasanur Rahman, Md. Maznur Rahman

et al.

Regional Sustainability, Journal Year: 2023, Volume and Issue: 4(4), P. 405 - 415

Published: Nov. 29, 2023

The energy demand in Australia is increasing with the industrialization and rapid economic growth. This study analyzed relationships among growth, Foreign Direct Investment (FDI), trade openness, urbanization, usage based on data from World Development Indicators (WDI) 1972 to 2021. results indicated that there a cointegration FDI, usage, which was traced through autoregressive-distributed lag (ARDL). Zivot-Andrews unit root test reveals openness show significant structural breaks 1993, 1996, 1982, 2008, 1994, respectively. ARDL model shows growth has positive effect long-run (0.814) short-run (0.809). Moreover, also FDI (0.028) (0.043) have impacts long-run. However, urbanization negative influence (−0.965). Then, research demonstrates unidirectional causation between significantly causing openness. current endorses consumption policies investment strategies for paradigm shifting reliance fossil fuels as primary source renewable sources. These findings profound implications sustainable usage.

Language: Английский

Citations

25
Sustainability in Vietnam: Examining economic growth, energy, innovation, agriculture, and forests' impact on CO2 emissions DOI Creative Commons
Asif Raihan, Md. Atik Hasan, Liton Chandra Voumik

et al.

World Development Sustainability, Journal Year: 2024, Volume and Issue: 4, P. 100164 - 100164

Published: May 31, 2024

Global warming, induced by human-generated greenhouse gases, especially carbon dioxide (CO2), threatens the planet's ecology, economic development, and long-term viability in unparalleled ways. Vietnam's utilization of energy CO2 emanations are on increase as a consequence country's increasing improving agricultural practices. Governments seeking to accomplish an equilibrium between combating climate change sustainable development would benefit from deeper understanding vulnerability. A better trade-off pollution growth is crucial if Vietnam slow rate at which its environment being damaged. So, current study empirically examined connections GDP consumption, technical advancement, output, forest region, emissions Vietnam. This collected annual data 1990 2020 analyzed it using Dynamic Ordinary Least Squares method. Based projection, experiences direct correlation consumption emissions. implies that corresponds corresponding emission into atmosphere. Nevertheless, essential acknowledge this pattern might be alleviated means technological innovations, increased initiatives broaden forested regions. negative exists these variables emissions; more methods, preservation may contribute gradual reduction Therefore, environmental sustainability could achieved through reduced policies advocated article were implemented. Some include renewable sources, encouraging innovations technology, climate-conscious agriculture, careful management.

Language: Английский

Citations

15
Taking flight: Exploring the relationship between air transport and Malaysian economic growth DOI Creative Commons
Asif Raihan, Liton Chandra Voumik, Salma Akter

et al.

Journal of Air Transport Management, Journal Year: 2024, Volume and Issue: 115, P. 102540 - 102540

Published: Jan. 25, 2024

All facets of the tourism business, especially air travel, have been affected by COVID-19 pandemic. The aviation industry continues to contribute international economic expansion significantly. article aims identify impact development transport on Malaysian economy. Therefore, air-transportation-led growth hypothesis (ALGH) was investigated examining whether airline travel boosts effects passengers (a stand-in for tourism) Malaysia's GDP were examined in long and short term. This study analyzed Data Malaysia using an autoregressive distributed lag (ARDL) technique. time covered from 1970 2020. Certain control variables (i.e., energy consumption, financial development, social globalization, urbanization) also see how they influenced expansion. Statistically significant found both term this study, suggesting that mode transportation contributes sustained Several methods, including Canonical Cointegration Regression (CCR), Dynamic Ordinary Least Squares (DOLS), Fully Modified (FMOLS), used verify results independently. offers legislative suggestions improving industry's productivity, security, bottom line.

Language: Английский

Citations

12
Advancing environmental sustainability in the G-7: The impact of the digital economy, technological innovation, and financial accessibility using panel ARDL approach DOI Creative Commons
Asif Raihan,

Shewly Bala,

Afsana Akther

et al.

Journal of Economy and Technology, Journal Year: 2024, Volume and Issue: unknown

Published: June 1, 2024

This study examines the impact of digital economy, technological innovation, financial accessibility, and urbanization on CO2 emissions in G-7 region from 1990 to 2019. The analysis employed Cross-Sectional Dependence (CSD) Slope Homogeneity tests, revealing presence CSD issues heterogeneous slope coefficients. First- second-generation panel unit root tests indicated no problem within dataset, with variables showing mixed integration orders. Panel cointegration confirmed that are cointegrated over long run. To assess short-run long-run impacts explanatory emissions, utilized Autoregressive Distributed Lag (ARDL) model. findings indicate economy significantly reduces while economic growth, increase region. robustness ARDL results was validated using Driscoll-Kraay standard errors, Augmented Mean Group (AMG), Common Correlated Effects (CCEMG) estimations. Additionally, Dumitrescu-Hurlin causality test revealed a unidirectional causal relationship between GDP innovation. Furthermore, bidirectional found accessibility as well emissions. These provide comprehensive insights into dynamic interactions economic, technological, environmental region, highlighting complexity achieving sustainable development.

Language: Английский

Citations

9
Exploring the Role of Geothermal Energy Consumption in Achieving Carbon Neutrality and Environmental Sustainability DOI Creative Commons
Ghalieb Mutig Idroes, Mohd Afjal, M.Y. Khan

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(23), P. e40709 - e40709

Published: Nov. 27, 2024

Language: Английский

Citations

9
Evaluating the Environmental Phillips Curve Hypothesis in the STIRPAT Framework for Finland DOI Open Access
Jani Kinnunen, Irina Georgescu, Ionuț Nica

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(11), P. 4381 - 4381

Published: May 22, 2024

In the context of increasing concerns about environmental sustainability and economic growth, this study evaluates Environmental Phillips Curve hypothesis within Finland’s STIRPAT framework from 1990 to 2022. Finland is renowned for its commitment policies renewable energy innovations, yet it faces challenges in balancing growth with protection. The identified problem need understand trade-offs between impact specific context. Using ARDL model, we analyze effects GDP per capita, consumption (RENC), urbanization (URB), unemployment rates (UR) on greenhouse gas emissions (GHG). Our findings show that while increase GHG emissions, significantly reduces them. Error Correction Model highlights quick adjustments toward equilibrium, reflecting effectiveness policies. Short-term results confirm limited possibly due advanced urban planning. FMOLS, DOLS, CCR techniques further support these findings, emphasizing importance mitigating impacts. This provides crucial insights policymakers seeking balance Finland.

Language: Английский

Citations

8
Prioritising sustainability: how economic growth, energy use, forest area, and globalization impact on greenhouse gas emissions and load capacity in Poland? DOI Creative Commons
Asif Raihan, Liton Chandra Voumik, Grzegorz Zimon

et al.

International Journal of Sustainable Energy, Journal Year: 2024, Volume and Issue: 43(1)

Published: June 26, 2024

The main purpose of this paper is to investigate the environmental repercussions a booming economy, fossil fuel, renewable energy, globalisation, technological innovation, and forest cover in Poland from 1990 2018. This study used greenhouse gas (GHG) emissions load capacity factor as proxies ecological damage provide comprehensive assessment surrounding ecosystem help implement future policies reduce achieve sustainability. Besides, only European Union (EU) country lacking climate neutrality objective policy instruments mitigate concerns. Autoregressive Distributed Lag (ARDL) bounds model Dynamic Ordinary Least Squares (DOLS) procedure evaluated yearly data empirical outcomes DOLS point out that economic growth fuel energy use enhance GHG despite reducing Poland. Instead, power, might concluding thoughts suggest implementation support raising additional funding for eco-friendly technology studies while promoting enhancing carbon sinks.

Language: Английский

Citations

8