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

Lingran Zhang,

C. P.-P. Tan

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 472, С. 143437 - 143437

Опубликована: Авг. 18, 2024

Язык: 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

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 113, С. 105682 - 105682

Опубликована: Июль 18, 2024

Язык: Английский

Процитировано

17

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

и другие.

Environmental Impact Assessment Review, Год журнала: 2023, Номер 104, С. 107297 - 107297

Опубликована: Окт. 4, 2023

Язык: Английский

Процитировано

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

и другие.

Sustainable Development, Год журнала: 2023, Номер 32(1), С. 455 - 480

Опубликована: Июль 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.

Язык: Английский

Процитировано

24

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

и другие.

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

Опубликована: Янв. 7, 2024

Язык: Английский

Процитировано

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, Год журнала: 2024, Номер 203, С. 123373 - 123373

Опубликована: Апрель 13, 2024

Язык: Английский

Процитировано

12

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

Applied Energy, Год журнала: 2024, Номер 365, С. 123245 - 123245

Опубликована: Апрель 22, 2024

Язык: Английский

Процитировано

11

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

и другие.

Economic Modelling, Год журнала: 2024, Номер 140, С. 106849 - 106849

Опубликована: Авг. 13, 2024

Язык: Английский

Процитировано

9

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

Dongjue Fan,

Haonan Duan

и другие.

Biomimetic Intelligence and Robotics, Год журнала: 2025, Номер unknown, С. 100212 - 100212

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

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

Junjie Shan

и другие.

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

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

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

Song Tian

и другие.

China Economic Review, Год журнала: 2025, Номер unknown, С. 102389 - 102389

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1