Can artificial intelligence help accelerate the transition to renewable energy?

Energy Economics, Год журнала: 2024, Номер 134, С. 107584 - 107584

Опубликована: Апрель 25, 2024

Язык: Английский

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U-shaped relationship between digitalization and low-carbon economy efficiency: Mediation and spillover effects

Journal of Cleaner Production, Год журнала: 2024, Номер 458, С. 142535 - 142535

Опубликована: Май 9, 2024

Язык: Английский

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Optimizing AI-based emission reduction efficiency and subsidies in supply chain management: A sensitivity-based approach with duopoly game dynamics

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 144991 - 144991

Опубликована: Фев. 1, 2025

Язык: Английский

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Green innovation and carbon emission reduction: Empirical insights from spatial durbin and dynamic threshold models

International Review of Financial Analysis, Год журнала: 2025, Номер unknown, С. 103997 - 103997

Опубликована: Фев. 1, 2025

Язык: Английский

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Artificial Intelligence and Carbon Emissions in Manufacturing Firms: The Moderating Role of Green Innovation

Processes, Год журнала: 2023, Номер 11(9), С. 2705 - 2705

Опубликована: Сен. 10, 2023

Carbon emissions have gained worldwide attention in the industrial era. As a key carbon-emitting industry, achieving net-zero carbon manufacturing sector is vital to mitigating negative effects of climate change and sustainable development. The rise intelligent technologies has driven structural transformations that may help achieve reduction. Artificial intelligence (AI) technology an important part digitalization, providing new technological tools directions for low development enterprises. This study selects Chinese A-share listed companies industry from 2012 2021 as research objects uses fixed-effects regression model relationship between AI emissions. clarifies significance enterprise applications realizing reduction explores regulatory mechanism perspective innovation effect. results show application positively impacts Simultaneously, green innovation, management product play moderating roles; other words, strengthens effect on necessity enriches theories related

Язык: Английский

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An inquiry into the nexus between artificial intelligence and energy poverty in the light of global evidence

Energy Economics, Год журнала: 2024, Номер 136, С. 107748 - 107748

Опубликована: Июнь 26, 2024

Язык: Английский

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Robots for sustainability: Evaluating ecological footprints in leading AI-driven industrial nations

Technology in Society, Год журнала: 2024, Номер 76, С. 102460 - 102460

Опубликована: Янв. 7, 2024

Язык: Английский

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Investigating the asymmetric impact of artificial intelligence on renewable energy under climate policy uncertainty

Energy Economics, Год журнала: 2024, Номер 137, С. 107809 - 107809

Опубликована: Июль 31, 2024

Язык: Английский

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Can artificial intelligence technology reduce carbon emissions? A global perspective

Energy Economics, Год журнала: 2025, Номер unknown, С. 108285 - 108285

Опубликована: Фев. 1, 2025

Язык: Английский

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The impact of artificial intelligence on the green and low‐carbon transformation of Chinese enterprises

Managerial and Decision Economics, Год журнала: 2024, Номер 45(5), С. 2727 - 2738

Опубликована: Март 6, 2024

Abstract Artificial intelligence (AI) plays a crucial role in addressing resource and environmental constraints achieving sustainable economic social development. This study examines the impact mechanisms of AI on green low‐carbon transformation enterprises using sample companies listed Shanghai Shenzhen stock exchanges from 2009 to 2021. The research findings indicate that has capability effectively mitigate corporate carbon emissions (CCE) enhance level innovation (GI) enterprises. Mechanism analysis reveals energy consumption mediating relationship between CCE. Heterogeneity inhibitory effect CCE is more pronounced private non‐heavy polluting industries. However, GI greater state‐owned heavy‐polluting sheds light influence enterprises, as well its transmission mechanisms. It provides theoretical empirical insights for promoting GI, reducing emissions, improving efficiency

Язык: Английский

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