Clean Technologies and Environmental Policy, Год журнала: 2024, Номер unknown
Опубликована: Май 28, 2024
Язык: Английский
Clean Technologies and Environmental Policy, Год журнала: 2024, Номер unknown
Опубликована: Май 28, 2024
Язык: Английский
Journal of Cleaner Production, Год журнала: 2024, Номер 447, С. 141298 - 141298
Опубликована: Фев. 15, 2024
Язык: Английский
Процитировано
152Telecommunications Policy, Год журнала: 2023, Номер 48(3), С. 102699 - 102699
Опубликована: Дек. 27, 2023
Язык: Английский
Процитировано
151Journal of Environmental Management, Год журнала: 2023, Номер 351, С. 119663 - 119663
Опубликована: Дек. 7, 2023
Язык: Английский
Процитировано
132Humanities and Social Sciences Communications, Год журнала: 2024, Номер 11(1)
Опубликована: Авг. 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.
Язык: Английский
Процитировано
79Humanities and Social Sciences Communications, Год журнала: 2024, Номер 11(1)
Опубликована: Янв. 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.
Язык: Английский
Процитировано
69Resources Policy, Год журнала: 2023, Номер 88, С. 104492 - 104492
Опубликована: Дек. 6, 2023
Язык: Английский
Процитировано
60Journal of Cleaner Production, Год журнала: 2024, Номер 452, С. 142113 - 142113
Опубликована: Апрель 5, 2024
Язык: Английский
Процитировано
56Heliyon, Год журнала: 2024, Номер 10(9), С. e30140 - e30140
Опубликована: Апрель 23, 2024
This study focused on exploring the impact of digital economy (DE) energy poverty (EP) across Chinese provinces from 2004 to 2018, motivated by critical need understand how technological advancements in sector influence accessibility and sustainability. Conducted against backdrop global transformation, research aimed dissect nuanced ways which DE contributes mitigating EP, employing dynamic panel threshold indirect effect models capture both direct nuanced, intermediate effects progress deprivation. Key findings revealed a significant reduction EP attributed DE, with most notable improvements observed Eastern China where strategic policies management practices enhanced positive impacts digitalization. The highlighted DE's role improving access, efficiency, environmental sustainability, although it also pointed out potential for regressive areas lower levels advancement. These are substantial value as they offer empirical evidence capacity alleviate underlining importance integrating strategies into policy planning. provides insights policymakers, stakeholders sector, scholars interested synergies between innovation security, suggesting that leveraging technologies could accelerate efforts towards achieving sustainable access combating potentially other contexts facing similar challenges.
Язык: Английский
Процитировано
56Journal of Cleaner Production, Год журнала: 2023, Номер 434, С. 139851 - 139851
Опубликована: Ноя. 23, 2023
Язык: Английский
Процитировано
54Journal of Cleaner Production, Год журнала: 2023, Номер 435, С. 140469 - 140469
Опубликована: Дек. 31, 2023
Язык: Английский
Процитировано
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