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Is artificial intelligence associated with carbon emissions reduction? Case of China

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Cited by:

  1. Dora Almeida & Luísa Carvalho & Paulo Ferreira & Andreia Dionísio & Inzamam Ul Haq, 2024. "Global Dynamics of Environmental Kuznets Curve: A Cross-Correlation Analysis of Income and CO 2 Emissions," Sustainability, MDPI, vol. 16(20), pages 1-35, October.
  2. Amir Iqbal & Wei Zhang & Sayeda Jahangir, 2025. "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 Qu," Sustainability, MDPI, vol. 17(3), pages 1-40, January.
  3. Qin, Meng & Hu, Wei & Qi, Xinzhou & Chang, Tsangyao, 2024. "Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy," Energy Economics, Elsevier, vol. 131(C).
  4. Song, Yuegang & Wang, Ziqi & Song, Changqing & Wang, Jianhua & Liu, Rong, 2024. "Impact of artificial intelligence on renewable energy supply chain vulnerability: Evidence from 61 countries," Energy Economics, Elsevier, vol. 131(C).
  5. Cao, Qingfeng & Chi, Chuenyu & Shan, Junhui, 2025. "Can artificial intelligence technology reduce carbon emissions? A global perspective," Energy Economics, Elsevier, vol. 143(C).
  6. Liu, Lei & Rasool, Zeeshan & Ali, Sajid & Wang, Canghong & Nazar, Raima, 2024. "Robots for sustainability: Evaluating ecological footprints in leading AI-driven industrial nations," Technology in Society, Elsevier, vol. 76(C).
  7. Wang, Yong & Zhao, Wenhao & Ma, Xuejiao, 2024. "The spatial spillover impact of artificial intelligence on energy efficiency: Empirical evidence from 278 Chinese cities," Energy, Elsevier, vol. 312(C).
  8. Zhong, Wenli & Liu, Yang & Dong, Kangyin & Ni, Guohua, 2024. "Assessing the synergistic effects of artificial intelligence on pollutant and carbon emission mitigation in China," Energy Economics, Elsevier, vol. 138(C).
  9. Ding, Tao & Li, Hao & Tan, Ruipeng & Zhao, Xin, 2023. "How does geopolitical risk affect carbon emissions?: An empirical study from the perspective of mineral resources extraction in OECD countries," Resources Policy, Elsevier, vol. 85(PB).
  10. Li, Lanbing & Zhao, Jiawei & Yang, Yuhan & Ma, Dan, 2025. "Artificial intelligence and green development well-being: Effects and mechanisms in China," Energy Economics, Elsevier, vol. 141(C).
  11. Xiaojuan Cheng & Zihao Zhang & Duojun He & Chunguang Quan, 2025. "Digital Transformation and Corporate Carbon Emissions: Evidence from China’s Listed Companies," Sustainability, MDPI, vol. 17(9), pages 1-25, April.
  12. Li Deng & Zhangqi Zhong, 2024. "The impact of digital infrastructure on carbon emissions: evidence from 284 cities in China," Economic Change and Restructuring, Springer, vol. 57(5), pages 1-38, October.
  13. Qiang Wang & Fuyu Zhang & Rongrong Li, 2025. "Artificial intelligence and sustainable development during urbanization: Perspectives on AI R&D innovation, AI infrastructure, and AI market advantage," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(1), pages 1136-1156, February.
  14. Tian, Lihui & Li, Xin & Lee, Cheng-Wen & Spulbăr, Cristi, 2024. "Investigating the asymmetric impact of artificial intelligence on renewable energy under climate policy uncertainty," Energy Economics, Elsevier, vol. 137(C).
  15. Feng, Lingbing & Qi, Jiajun & Zheng, Yuhao, 2025. "How can AI reduce carbon emissions? Insights from a quasi-natural experiment using generalized random forest," Energy Economics, Elsevier, vol. 141(C).
  16. Zhang, Kun & Kou, Zi-Xuan & Zhu, Pei-Hua & Qian, Xiang-Yan & Yang, Yun-Ze, 2025. "How does AI affect urban carbon emissions? Quasi-experimental evidence from China's AI innovation and development pilot zones," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 426-447.
  17. Zhao, Qian & Wang, Lu & Stan, Sebastian-Emanuel & Mirza, Nawazish, 2024. "Can artificial intelligence help accelerate the transition to renewable energy?," Energy Economics, Elsevier, vol. 134(C).
  18. Ding, Tao & Li, Hao & Liu, Li & Feng, Kui, 2024. "An inquiry into the nexus between artificial intelligence and energy poverty in the light of global evidence," Energy Economics, Elsevier, vol. 136(C).
  19. Jiang, Wei & Hu, Yanhui & Zhao, Xiangyu, 2025. "The impact of artificial intelligence on carbon market in China: Evidence from quantile-on-quantile regression approach," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
  20. Fang Qu & Wensen She, 2025. "Artificial Intelligence Technology and Regional Carbon Emission Performance: Does Energy Transition or Industrial Transformation Matter?," Sustainability, MDPI, vol. 17(5), pages 1-31, February.
  21. Ma, Dechao & Wu, Weiwei, 2024. "Does artificial intelligence drive technology convergence? Evidence from Chinese manufacturing companies," Technology in Society, Elsevier, vol. 79(C).
  22. Ke Zhao & Chao Wu & Jinquan Liu, 2024. "Can Artificial Intelligence Effectively Improve China’s Environmental Quality? A Study Based on the Perspective of Energy Conservation, Carbon Reduction, and Emission Reduction," Sustainability, MDPI, vol. 16(17), pages 1-18, September.
  23. Qiang Wang & Yuanfan Li & Rongrong Li, 2024. "Rethinking the environmental Kuznets curve hypothesis across 214 countries: the impacts of 12 economic, institutional, technological, resource, and social factors," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-19, December.
  24. Qiang Wang & Yuanfan Li & Rongrong Li, 2024. "Ecological footprints, carbon emissions, and energy transitions: the impact of artificial intelligence (AI)," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.
  25. Yang, Ying & An, Ran & Song, Jie, 2025. "Impact of enterprise artificial intelligence on social responsibility: Evidence from text analysis," Finance Research Letters, Elsevier, vol. 75(C).
  26. Lu, Xunfa & He, Pengchao & Zhang, Zhengjun & Apergis, Nicholas, 2024. "Extreme co-movements between CO2 emission allowances and commodity markets and their response to economic policy uncertainty," Energy Economics, Elsevier, vol. 138(C).
  27. Zhao, Qiuhan & Fan, Liangxian & Chen, Honglin & Yang, Yixing & Wang, Zifu, 2025. "Green innovation and carbon emission reduction: Empirical insights from spatial durbin and dynamic threshold models," International Review of Financial Analysis, Elsevier, vol. 101(C).
  28. Yanying Wang & Qingyang Wu, 2024. "Robots, firm relocation, and air pollution: unveiling the unintended spatial spillover effects of emerging technology," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
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