The impact of artificial intelligence on green transformation of manufacturing enterprises: evidence from China DOI
Zhengang Zhang, Peilun Li, Liangxiong Huang

и другие.

Economic Change and Restructuring, Год журнала: 2024, Номер 57(4)

Опубликована: Июль 3, 2024

Язык: Английский

Optimizing AI-based emission reduction efficiency and subsidies in supply chain management: A sensitivity-based approach with duopoly game dynamics DOI
Jafar Hussain, Chien‐Chiang Lee, Benjamin Lev

и другие.

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

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

4

ESG performance and green innovation of Chinese enterprises: Based on the perspective of financing constraints DOI
Wanyu Zhang, Yan Zha,

Fansheng Meng

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 370, С. 122955 - 122955

Опубликована: Окт. 17, 2024

Язык: Английский

Процитировано

10

Digital brains, green gains: Artificial intelligence's path to sustainable transformation DOI Creative Commons
Miaomiao Tao

Journal of Environmental Management, Год журнала: 2024, Номер 370, С. 122679 - 122679

Опубликована: Окт. 2, 2024

Язык: Английский

Процитировано

9

Non-linear research on artificial intelligence empowering green economic efficiency under integrated governance framework DOI Creative Commons

Zheng Qiang Song,

Yao Deng

Frontiers in Environmental Economics, Год журнала: 2025, Номер 3

Опубликована: Янв. 9, 2025

Artificial intelligence (AI) plays a pivotal role in the development of green economy. This paper examines impact artificial on economic efficiency (GEE) using panel data from 30 provinces China spanning 2011–2020. A multiple linear regression model, alongside various endogeneity and robustness tests, is applied to ensure reliable findings. The empirical results indicate that AI significantly enhances GEE. However, marginal effect GEE influenced by different governance approaches. In terms policy governance, excessive market-based environmental regulation (MER) diminishes AI, while stronger administrative-command regulations (CER) informal (IER) amplify it. Regarding technological substantive innovations (SUG) reduce AI's effect, whereas symbolic (SYG) may increase Notably, threshold SUG surpasses SYG. legal both administrative judicial intellectual property protections though protection (AIP) exhibits more significant than (JIP). These findings offer practical insights for optimizing strategies maximize promoting highlight need balanced sustainable development. Policymakers should tailor encourage regional collaboration harness spatial spillover effects. Enterprises can leverage AI-driven align growth with ecological goals, fostering coordinated

Язык: Английский

Процитировано

1

Unveiling the influence of agricultural mechanization on greenhouse gas emission intensity: Insights from China using causal machine learning model DOI
Lulu Wang,

Jie Lyu,

Shanshan Wang

и другие.

Agricultural Systems, Год журнала: 2025, Номер 226, С. 104307 - 104307

Опубликована: Март 9, 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

The spillover effects of digital technology innovation on carbon emissions in urban agglomerations: A perspective based on manufacturing investment networks and geospatial spillovers DOI
Shuoshuo Li, Ziyuan Zhang, Chien‐Chiang Lee

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106321 - 106321

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1

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

Процитировано

6

Carbon emission prediction of 275 cities in China considering artificial intelligence effects and feature interaction: A heterogeneous deep learning modeling framework DOI

Gongquan Zhang,

Fangrong Chang,

Jie Liu

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105776 - 105776

Опубликована: Авг. 26, 2024

Язык: Английский

Процитировано

6

Does artificial intelligence affect the ecological footprint? –Evidence from 30 provinces in China DOI
Yong Wang, Ru Zhang, Kainan Yao

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 370, С. 122458 - 122458

Опубликована: Сен. 12, 2024

Язык: Английский

Процитировано

6