Social and economic driving forces of recent CO2 emissions in three major BRICS economies DOI Creative Commons
Eleni Koilakou,

Emmanouil Hatzigeorgiou,

Kostas Bithas

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 5, 2024

Abstract The study examines the driving factors of total energy-related and power-related (electricity-heat) CO 2 emissions for China, India Brazil, three BRICS countries with vital economic demographic dynamics. paper applies decoupling decomposition analysis in order to investigate influence those that are prominent contemporary literature as well reflecting important social dynamics which affect ecological footprint society. Household size number households introduced into relevant first time reflect substantially different trends from population size, predominant factor existing literature. This novelty together simultaneous application adds importance findings study, covers period 2000–2018. results show increasing income significantly enlarge emissions. effects crucial increase decrease is decreasing energy intensity, while it emission effect recent shift towards less carbon intensive types.

Language: Английский

Does artificial intelligence promote energy transition and curb carbon emissions? The role of trade openness DOI

Qiang Wang,

Fuyu Zhang, Rongrong Li

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 447, P. 141298 - 141298

Published: Feb. 15, 2024

Language: Английский

Citations

152

Ecological footprints, carbon emissions, and energy transitions: the impact of artificial intelligence (AI) DOI Creative Commons

Qiang Wang,

Yuanfan Li,

Rongrong Li

et al.

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: Aug. 14, 2024

Abstract This study examines the multifaceted impact of artificial intelligence (AI) on environmental sustainability, specifically targeting ecological footprints, carbon emissions, and energy transitions. Utilizing panel data from 67 countries, we employ System Generalized Method Moments (SYS-GMM) Dynamic Panel Threshold Models (DPTM) to analyze complex interactions between AI development key metrics. The estimated coefficients benchmark model show that significantly reduces footprints emissions while promoting transitions, with most substantial observed in followed by footprint reduction reduction. Nonlinear analysis indicates several insights: (i) a higher proportion industrial sector diminishes inhibitory effect but enhances its positive transitions; (ii) increased trade openness amplifies AI’s ability reduce promote (iii) benefits are more pronounced at levels development, enhancing (iv) as transition process deepens, effectiveness reducing increases, role further transitions decreases. enriches existing literature providing nuanced understanding offers robust scientific foundation for global policymakers develop sustainable management frameworks.

Language: Английский

Citations

79

Reinvestigating the environmental Kuznets curve (EKC) of carbon emissions and ecological footprint in 147 countries: a matter of trade protectionism DOI Creative Commons

Qiang Wang,

Xiaowei Wang, Rongrong Li

et al.

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: Jan. 24, 2024

Abstract Environmental degradation has profoundly impacted both human society and ecosystems. The environmental Kuznets curve (EKC) illuminates the intricate relationship between economic growth decline. However, recent surge in trade protectionism heightened global uncertainties, posing a severe threat to sustainability. This research aims investigate pathways through which protection, assessed by available openness data, influences nexus degradation. Leveraging comprehensive panel data spanning 147 countries from 1995 2018, this study meticulously examines non-linear dynamics among trade, economy, environment, with particular emphasis on validating EKC hypothesis. encompasses exhaustive regressions categorized across four income groups. substantiates validity of hypothesis within confines investigation. As levels rise, impact initially intensifies before displaying diminishing trend. Additionally, protection manifests as detriment improving quality. ramifications display nuanced variations strata. In high-income nations, appears contribute mitigating Conversely, other brackets, stimulating effect pressure is more conspicuous. words, exacerbates degradation, particularly affecting lower-income countries, aligning concept pollution havens. study’s results illuminate thresholds growth, groups, emphasizing heterogeneous underlying mechanisms. These findings provide valuable insights for policymakers, urging collaborative efforts nations achieve harmonious balance advancement preservation scale.

Language: Английский

Citations

69

Does renewable energy proactively contribute to mitigating carbon emissions in major fossil fuels consuming countries? DOI
Arifur Rahman, S. M. Woahid Murad,

Abu Khair Mohammad Mohsin

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 452, P. 142113 - 142113

Published: April 5, 2024

Language: Английский

Citations

60

Rethinking the environmental Kuznets curve hypothesis across 214 countries: the impacts of 12 economic, institutional, technological, resource, and social factors DOI Creative Commons

Qiang Wang,

Yuanfan Li,

Rongrong Li

et al.

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: Feb. 21, 2024

Abstract Research over the past three decades has provided rich empirical evidence for inverted U-shaped EKC theory, but current problems facing advancing climate mitigation actions require us to re-examine shape of global rigorously. This paper examined N-shaped in a panel 214 countries with 12 traditional and emerging variables, including institutions risks, information communication technology (ICT), artificial intelligence(AI), resource energy use, selected social factors. The two-dimensional Tapio decoupling model based on group homogeneous is developed explore inter-group heterogeneous carbon emission effects each variable. Global research results show that linear cubic terms GDP per capita are significantly positive, while quadratic term negative, regardless whether additional variables added. means robust existence an EKC. Geopolitical risk, ICT, food security confirmed positively impact emissions, composite institutional quality, digital economy, transition, population aging negative. AI, natural rents, trade openness, income inequality insignificant. inflection points considering all 45.08 73.44 thousand US dollars, respectively. Combining turning calculated coefficients, categorized into six groups model. subsequent regression heterogeneity direction magnitude impacts most variables. Finally, differentiated reduction strategies stages proposed.

Language: Английский

Citations

34

Intermediating effect of mineral resources on renewable energy amidst globalization, financial development, and technological progress: Evidence from globe based on income-groups DOI

Qiang Wang,

Xinchen Cheng,

Uğur Korkut Pata

et al.

Resources Policy, Journal Year: 2024, Volume and Issue: 90, P. 104798 - 104798

Published: Feb. 8, 2024

Language: Английский

Citations

27

Economic complexity, renewable energy and ecological footprint: The role of the housing market in the USA DOI
Foday Joof, Ahmed Samour, Mumtaz Ali

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 311, P. 114131 - 114131

Published: April 4, 2024

Language: Английский

Citations

22

Accelerating renewables: Unveiling the role of green energy markets DOI

Amar Rao,

Satish Kumar, Sitara Karim

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 366, P. 123286 - 123286

Published: April 29, 2024

Language: Английский

Citations

22

Renewable energy transition and regional integration: Energizing the pathway to sustainable development DOI
Atta Ullah, Haitham Nobanee, Saif Ullah

et al.

Energy Policy, Journal Year: 2024, Volume and Issue: 193, P. 114270 - 114270

Published: Aug. 5, 2024

Language: Английский

Citations

20

Reexamining the impact of natural resource rent and corruption control on environmental quality: Evidence from carbon emissions and ecological footprint in 152 countries DOI
Rongrong Li,

Sailan Hu,

Qiang Wang

et al.

Natural Resources Forum, Journal Year: 2024, Volume and Issue: 48(2), P. 636 - 660

Published: Jan. 12, 2024

Abstract In order to explore the impact of natural resource rent and corruption control on environmental quality (ecological footprint, carbon emissions), this paper uses moment quantile regression method within framework Kuznets curve hypothesis. Based availability data, research object is positioned as sample data 152 countries from 2002 2018 obtain more in‐depth comprehensive conclusions. The empirical results show that: (1) Corruption has a significant effect improving ecological environment in regions with poor quality. remains inconclusive, when relatively high, tends promote increase emissions, but there reduction footprint. For better quality, will be an increasing consumption reducing pollutant emissions. (2) Increasing intensity energy lead deterioration proportion renewable resources weaken impact, so it particularly important improve structure (3) urbanization dose not form unified opinion, difference selection indicators brings variability results, which also prompts adoption multiple or establishment composite index that covers perspectives conduct

Language: Английский

Citations

18