The Impact of Artificial Intelligence on Load Capacity Factor in the G20
Dados Bibliográficos
| ID | 16914014 |
|---|---|
| Autores | Hongjie Luo (0009-0003-7362-5917, Universiti Putra Malaysia, autor correspondente), Ying Sun (0009-0008-7911-9034, Fuzhou University), Jia Li (0000-0003-0253-8544, Eastern Liaoning University), Fakarudin Kamarudin (0000-0001-8180-1173, Universiti Putra Malaysia), Arum Setyowati (0000-0002-5280-1470, Sebelas Maret University) |
| Ano | 2025 |
| Volume | 15 |
| Fascículo | 4 |
| Data de publicação | 2025-10-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | SAGE Open (JOURNAL) |
| Identificadores do periódico | ISSN: 2158-2440 • E-ISSN: 2158-2440 |
| Editora | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/21582440251386911 |
| OpenAlex | W4415386800 |
| Idioma | EN |
| Referências citadas | 82 |
This study investigated the impact of artificial intelligence on the load capacity factor. Based on data collected from G20 countries from 1998 to 2017, the basic results indicated that artificial intelligence reduced the load capacity factor. The impact of artificial intelligence was also less noticeable in nations with higher load capacity factors, as shown by the quantile regression studies. The robust tests confirmed the negative influence. Moreover, intellectual property rights lessened the effect of artificial intelligence on the environment. Economic growth played a mediating role in the nexus between artificial intelligence and the environment. The influence of artificial intelligence on the environment increased when the share of urbanization rose above the threshold of 84.1%. Several policy implications were then proposed by the study in light of these findings
Artificial Intelligence System · Quantile · Quantile regression · Urbanization · Energy, Environment, Economic Growth · Market Dynamics and Volatility · Monetary Policy and Economic Impact
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Demonstrating a correlation between infrastructure and national development
Exploring the relationship between carbon dioxide emissions, urbanisation and financial deepening for Turkey using the symmetric and asymmetric causality approaches
Renewable energy, fiscal policy and load capacity factor in BRICS countries
How does the use of industrial robots affect the ecological footprint? International evidence
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Urbanization, energy use and greenhouse effects in economic development
Nonlinear effect of industrial robot applications on carbon emissions
Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China
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Robots for sustainability
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| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |