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1. Building a Sustainable Future: The Nexus Between Artificial Intelligence, Renewable Energy, Green Human Capital, Geopolitical Risk, and Carbon Emissions Through the Moderating Role of Institutional Quality. (2025). Jahangir, Sayeda ; Zhang, Wei ; Iqbal, Amir.
   In: Sustainability.
   RePEc:gam:jsusta:v:17:y:2025:i:3:p:990-:d:1577155.

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2. Towards Sustainable Development: Can Industrial Intelligence Promote Carbon Emission Reduction. (2025). Han, Dongqing ; Cao, Zhengxu ; Xu, Hanqing.
   In: Sustainability.
   RePEc:gam:jsusta:v:17:y:2025:i:1:p:370-:d:1561264.

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3. The Impact of Urban Digital Intelligence Transformation on Corporate Carbon Performance: Evidence from China. (2025). Jia, Hongwen ; Wu, Jiale ; Wang, Zhen.
   In: Sustainability.
   RePEc:gam:jsusta:v:17:y:2025:i:12:p:5591-:d:1681349.

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4. How can AI reduce carbon emissions? Insights from a quasi-natural experiment using generalized random forest. (2025). Qi, Jiajun ; Feng, Lingbing ; Zheng, Yuhao.
   In: Energy Economics.
   RePEc:eee:eneeco:v:141:y:2025:i:c:s0140988324007497.

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5. How Does Artificial Intelligence Change Carbon Emission Intensity? A Firm Lifecycle Perspective. (2025). Zhou, Peng ; Wu, Qiang.
   In: Cardiff Economics Working Papers.
   RePEc:cdf:wpaper:2025/9.

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6. Role of AI Innovation, Clean Energy and Digital Economy towards Net Zero Emission in the United States: An ARDL Approach. (2025). Noman, Abdulla All ; Rafi, Azizul Hakim ; al Abrar, Abdullah ; Sultana, Adita.
   In: Papers.
   RePEc:arx:papers:2503.19933.

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7. Exploring the Climate Change-AI Nexus: A Bibliometric and Scientometric Study. (2024). Andra-Nicoleta, Mecu ; Georgiana-Ionela, Marin ; Florentina, Chiu.
   In: Proceedings of the International Conference on Business Excellence.
   RePEc:vrs:poicbe:v:18:y:2024:i:1:p:1658-1670:n:1021.

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8. Does digital empowerment affect corporate green investment efficiency?. (2024). Sun, Yinghao ; Hu, Yaoyao ; Ye, Songqin ; Liao, Feimei.
   In: Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development.
   RePEc:spr:endesu:v:26:y:2024:i:9:d:10.1007_s10668-023-03591-5.

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9. Does artificial intelligence improve energy productivity in Chinas industrial sector? Empirical evidence based on the spatial moderation model. (2024). Zhang, Haijun ; Wang, Wei ; Rong, Jing.
   In: Energy & Environment.
   RePEc:sae:engenv:v:35:y:2024:i:8:p:4026-4048.

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10. Do robots boost productivity? A quantitative meta-study. (2024). Schneider, Florian.
    In: MPRA Paper.
    RePEc:pra:mprapa:123392.

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11. Exploring the Role of Artificial Intelligence in Achieving a Net Zero Carbon Economy in Emerging Economies: A Combination of PLS-SEM and fsQCA Approaches to Digital Inclusion and Climate Resilience. (2024). Vrana, Vasiliki G ; Das, Subhankar ; Mondal, Subhra.
    In: Sustainability.
    RePEc:gam:jsusta:v:16:y:2024:i:23:p:10299-:d:1528699.

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12. Navigating the Nexus of Artificial Intelligence and Renewable Energy for the Advancement of Sustainable Development Goals. (2024). Raman, Raghu ; Gunasekar, Sangeetha ; Kaliyaperumal, Deepa ; Nedungadi, Prema.
    In: Sustainability.
    RePEc:gam:jsusta:v:16:y:2024:i:21:p:9144-:d:1503782.

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13. Does Intelligent Manufacturing Contribute to the Enhancement of Carbon Emission Performance? Evidence from Total Factor Carbon Emission Performance. (2024). Yan, YI ; Kim, Yanggi ; Zhang, YI ; Xu, Yao ; Jin, Weibo.
    In: Sustainability.
    RePEc:gam:jsusta:v:16:y:2024:i:19:p:8443-:d:1487701.

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14. Industrial Intelligence and Carbon Emission Reduction: Evidence from China’s Manufacturing Industry. (2024). Li, Tiao ; Mi, Tale.
    In: Sustainability.
    RePEc:gam:jsusta:v:16:y:2024:i:15:p:6573-:d:1447355.

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15. Digital Economy and Urban Low-Carbon Transition: Theoretical Model and New Mechanisms. (2024). Yan, Xiang-Wu ; Zhang, Wenjie ; Ai, Kunpeng.
    In: Sustainability.
    RePEc:gam:jsusta:v:16:y:2024:i:14:p:5917-:d:1433120.

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16. Research into the Path and Mechanism by Which Intelligent Manufacturing Promotes Carbon Emission Reductions. (2024). Wang, Wan ; Ding, Wangwang ; Tang, Jiahui.
    In: Energies.
    RePEc:gam:jeners:v:17:y:2024:i:16:p:3925-:d:1452439.

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17. The impact of industrial robots on low-carbon green performance: Evidence from the belt and road initiative countries. (2024). Duan, Dingyun ; Wang, Hua ; Chen, Shaojian ; Long, Guoren.
    In: Technology in Society.
    RePEc:eee:teinso:v:79:y:2024:i:c:s0160791x24002604.

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18. The role of industrial intelligence in peaking carbon emissions in China. (2024). Dong, Zhiqing ; Chen, QI ; Cheng, LU ; Wang, Linhui.
    In: Technological Forecasting and Social Change.
    RePEc:eee:tefoso:v:199:y:2024:i:c:s004016252300690x.

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19. The impact of artificial intelligence application on company environmental investment in Chinese manufacturing companies. (2024). Xin, Zijun ; Dong, Zhenlin ; Yu, Fangkun ; Liu, Dewen.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:95:y:2024:i:pb:s1057521924003351.

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20. Can artificial intelligence help accelerate the transition to renewable energy?. (2024). Mirza, Nawazish ; Stan, Sebastian-Emanuel ; Zhao, Qian ; Wang, LU.
    In: Energy Economics.
    RePEc:eee:eneeco:v:134:y:2024:i:c:s0140988324002925.

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21. Enhancing Green Economy with Artificial Intelligence: Role of Energy Use and FDI in the United States. (2024). Rafi, Azizul Hakim ; al Abrar, Abdullah ; Noman, Abdulla All ; Sultana, Adita.
    In: Papers.
    RePEc:arx:papers:2501.14747.

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22. Chasing Green: The Synergistic Effect of Industrial Intelligence on Pollution Control and Carbon Reduction and Its Mechanisms. (2023). Yang, Zhihong ; Shen, Yang.
    In: Sustainability.
    RePEc:gam:jsusta:v:15:y:2023:i:8:p:6401-:d:1118968.

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23. Does AI Application Matter in Promoting Carbon Productivity? Fresh Evidence from 30 Provinces in China. (2023). Liu, Shuguang ; Feng, Shan.
    In: Sustainability.
    RePEc:gam:jsusta:v:15:y:2023:i:23:p:16261-:d:1286804.

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24. Digitalization, Electricity Consumption and Carbon Emissions—Evidence from Manufacturing Industries in China. (2023). Wang, Qizhen ; Zhang, Qian.
    In: IJERPH.
    RePEc:gam:jijerp:v:20:y:2023:i:5:p:3938-:d:1077406.

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25. Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China. (2023). Wu, Haitao ; Liu, Yong ; Wang, Weilong.
    In: Technology in Society.
    RePEc:eee:teinso:v:72:y:2023:i:c:s0160791x23000131.

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26. How Big Data Affect Urban Low-Carbon Transformation—A Quasi-Natural Experiment from China. (2022). Ling, Xiao ; Shen, Qian ; Xu, Ning ; Zhang, HE.
    In: IJERPH.
    RePEc:gam:jijerp:v:19:y:2022:i:23:p:16351-:d:995038.

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27. Intelligent Manufacturing and Carbon Emissions Reduction: Evidence from the Use of Industrial Robots in China. (2022). Kang, Rong ; Li, Nan ; Lv, Hao ; Shi, Beibei.
    In: IJERPH.
    RePEc:gam:jijerp:v:19:y:2022:i:23:p:15538-:d:981621.

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28. Industrial Coagglomeration, Green Innovation, and Manufacturing Carbon Emissions: Coagglomeration’s Dynamic Evolution Perspective. (2022). Zhan, Yuanfang ; Mu, Renyan ; Fentaw, Nigatu Mengesha ; Zhang, LU.
    In: IJERPH.
    RePEc:gam:jijerp:v:19:y:2022:i:21:p:13989-:d:955090.

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