Does Income Inequality Undermine the Carbon Abatement Benefits of Artificial Intelligence? DOI
Zequn Dong,

Lingran Zhang,

C. P.-P. Tan

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 472, P. 143437 - 143437

Published: Aug. 18, 2024

Language: Английский

Impacts of artificial intelligence on carbon emissions in China: in terms of artificial intelligence type and regional differences DOI
Mingfang Dong,

Wang Guo,

Xianfeng Han

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105682 - 105682

Published: July 18, 2024

Language: Английский

Citations

17

Nonlinear effect of industrial robot applications on carbon emissions: Evidence from China DOI
Bei Liu, Xiangyang Yang, Jingru Zhang

et al.

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 104, P. 107297 - 107297

Published: Oct. 4, 2023

Language: Английский

Citations

34

Towards low‐carbon sustainable development under Industry 4.0: The influence of industrial intelligence on China's carbon mitigation DOI Open Access
Hui Tian, Jiaqi Qin,

Chaoyin Cheng

et al.

Sustainable Development, Journal Year: 2023, Volume and Issue: 32(1), P. 455 - 480

Published: July 12, 2023

Abstract Global climate change is becoming an increasingly serious issue. China, the largest carbon emitter, has a long way towards its sustainable development goals (SDGs) and take on reduction responsibility, especially in industrial sector. In this vein, intelligence, key driver “Industry 4.0 era”, offers opportunity campaign. This paper seeks to examine influences of intelligence emissions, their heterogeneous characteristics transmission mechanisms, moderating role human capital. Therefore, we properly probed theoretical aspects, then used China's provincial data from 2006 2019 number tests, namely fixed effect model, two‐stage test, test relevant assumptions. We first unfolded that can significantly mitigate emissions. Specifically, analysis found efforts are more pronounced central western regions resource‐based regions. further highlight mechanism identification, which reveals structure upgrading technological innovation main channels for abate CO 2 Importantly, pinpoint capital, positively moderates relationship between emissions well amplify intelligence. These results conducive accurately assessing environmental benefits providing policy enlightenment China alleviate they will also offer reference other developing countries learn from.

Language: Английский

Citations

24

Robots for sustainability: Evaluating ecological footprints in leading AI-driven industrial nations DOI
Lei Liu, Zeeshan Rasool, Sajid Ali

et al.

Technology in Society, Journal Year: 2024, Volume and Issue: 76, P. 102460 - 102460

Published: Jan. 7, 2024

Language: Английский

Citations

12

The effects of industrial robots on firm energy intensity: From the perspective of technological innovation and electrification DOI
Boqiang Lin, Chongchong Xu

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 203, P. 123373 - 123373

Published: April 13, 2024

Language: Английский

Citations

12

Enhancing energy-environmental performance through industrial intelligence: Insights from Chinese prefectural-level cities DOI
Boqiang Lin, Chongchong Xu

Applied Energy, Journal Year: 2024, Volume and Issue: 365, P. 123245 - 123245

Published: April 22, 2024

Language: Английский

Citations

11

Automating Efficiency: The Impact of Industrial Robots on Labor Investment in China DOI
Yunxin Liu, Yuqiang Cao, Meiting Lu

et al.

Economic Modelling, Journal Year: 2024, Volume and Issue: 140, P. 106849 - 106849

Published: Aug. 13, 2024

Language: Английский

Citations

9

Human-like dexterous manipulation for anthropomorphic five-fingered hands: A review DOI Creative Commons
Yayu Huang,

Dongjue Fan,

Haonan Duan

et al.

Biomimetic Intelligence and Robotics, Journal Year: 2025, Volume and Issue: unknown, P. 100212 - 100212

Published: Jan. 1, 2025

Language: Английский

Citations

1

Can artificial intelligence technology reduce carbon emissions? A global perspective DOI
Qingfeng Cao, Chi Chen,

Junjie Shan

et al.

Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108285 - 108285

Published: Feb. 1, 2025

Language: Английский

Citations

1

Achieving the synergy of pollution and carbon emission reductions: Can artificial intelligence applications work? DOI
Jie Dian, Shanmin Li,

Song Tian

et al.

China Economic Review, Journal Year: 2025, Volume and Issue: unknown, P. 102389 - 102389

Published: March 1, 2025

Language: Английский

Citations

1