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Artificial intelligence-driven transformations in low-carbon energy structure: Evidence from China

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Cited by:

  1. Zhu, Qingyuan & Sun, Chenhao & Xu, Chengzhen & Geng, Qianqian, 2025. "The impact of artificial intelligence on global energy vulnerability," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 15-27.
  2. Shen, Yifei & Xiao, Zhonghua & Huang, Jingying & Deng, Yong & Yu, Junwei, 2025. "Impact of low-carbon energy structure transition on rural revitalization," International Review of Economics & Finance, Elsevier, vol. 102(C).
  3. Bergougui, Brahim, 2025. "Industrial robots for a sustainable future: Uncovering the asymmetric effects of AI on ecological quality in G7 economies," Technology in Society, Elsevier, vol. 83(C).
  4. Gao, Zhiyuan & Zhao, Ying & Li, Lianqing & Hao, Yu, 2025. "How does supply chain digitalization enhance energy resilience? Empirical evidence from listed companies in China," Energy Economics, Elsevier, vol. 145(C).
  5. Tingqian Pu, 2025. "E, S, and G, not just ESG: Exploring the Digital Transformation–Environmental, Social, and Governance Performance Nexus through Patent-Based Evidence," SAGE Open, , vol. 15(4), pages 21582440251, October.
  6. Malin Song & Sachin Kumar Mangla & Alessio Ishizaka & Konstantinos P. Tsagarakis & Zhensheng Li, 2025. "Operations research applications in climate change and green transformation: technological innovation, institutional power, and sustainable supply chain governance," Annals of Operations Research, Springer, vol. 355(1), pages 1-18, December.
  7. Wu, Chuntao & Li, Haoran & Yuan, Bingbing, 2025. "AI-driven sustainable energy saving: Pathways for enhancing energy efficiency in Chinese listed firms," Applied Energy, Elsevier, vol. 401(PA).
  8. Wang, Qiang & Zhang, Siqi & Li, Rongrong, 2026. "Artificial intelligence in the renewable energy transition: The critical role of financial development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PA).
  9. Tingqian Pu, 2025. "Bridging digitalization and environmental, social, and governance performance: the moderating effect of CEO duality and government linked corporations," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-19, December.
  10. Qu, Xinwei & Tian, Mingfu & Zhang, Linbo & Huang, Hongyun & Sun, Di & Song, Malin, 2025. "Energy structural change towards net-zero economy: What can we learn from carbon finance initiatives in China?," Energy Economics, Elsevier, vol. 144(C).
  11. Dong, Zequn & Tan, Chaodan & Ma, Biao & Ning, Zhaoshuo, 2024. "The impact of artificial intelligence on the energy transition: The role of regulatory quality as a guardrail, not a wall," Energy Economics, Elsevier, vol. 140(C).
  12. Zhang, Wei & Zhang, Yunjia & Lan, Xuling & Song, Malin, 2025. "“Green BRICS”: How artificial intelligence can build the explicit structure and implicit order of energy transition," Energy Economics, Elsevier, vol. 149(C).
  13. Zheng, Huanyu & Wu, Jie & Li, Runze & Song, Yanwu, 2025. "The role of artificial intelligence in renewable energy development: Insights from less developed economies," Energy Economics, Elsevier, vol. 146(C).
  14. Li, Lei & Zheng, Yifan & Ma, Shaojun & Ma, Xiaoyu & Zuo, Jian & Goodsite, Michael, 2025. "Unfavorable weather, favorable insights: Exploring the impact of extreme climate on green total factor productivity," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 626-640.
  15. An, Shuai & Zhong, Jian & Li, Chengjiang & Zhang, Wei, 2025. "Optimization of production scheduling and energy cost considering carbon trading strategies," International Journal of Production Economics, Elsevier, vol. 290(C).
  16. Wang, Quan-Jing & Zhu, Yi-Jing & Zhang, Yun & Chang, Chun-Ping, 2025. "Impact of digital economy on energy efficiency: Role of emerging technologies such as AI," Energy Economics, Elsevier, vol. 150(C).
  17. Zhang, Fuyu & Wang, Qiang & Li, Rongrong, 2025. "How does clean energy reshape the relationship between artificial intelligence and carbon emissions? Evidence from renewable and nuclear energy," Energy Economics, Elsevier, vol. 149(C).
  18. Tao, Miaomiao & Poletti, Stephen & Roubaud, David & Tiwari, Aviral Kumar, 2025. "The Global “Carbon-Energy-Intelligence” Framework: Decoding Cross-Market Interlinkages," Applied Energy, Elsevier, vol. 401(PA).
  19. Wanping Wang & Licheng Sun, 2025. "Low-Carbon Restructuring, R&D Investment, and Supply Chain Resilience: A U-Shaped Relationship," Sustainability, MDPI, vol. 17(13), pages 1-20, June.
  20. Leifeng Zhang & Hui Wu & Yang Shen, 2025. "Unlocking the Digital Dividend: How Does Digitalization Promote Corporate Carbon Emission Reduction?," Sustainability, MDPI, vol. 17(16), pages 1-21, August.
  21. Wei, Tian & Wu, Han & Dowling, Michael & Mahdavi Ardekani, Aref, 2025. "Financial perceptions and AI infringement risks," International Review of Economics & Finance, Elsevier, vol. 101(C).
  22. Wanqing Liao & Nan Zhao & Zizhe Zhang, 2025. "Can robots improve gender equality: an assessment based on household labor," Review of Economics of the Household, Springer, vol. 23(4), pages 1487-1525, December.
  23. Deng, Yating & Zou, Yueqing & Guang, Fengtao, 2025. "Unveiling the energy efficiency paradox: Industrial automation and energy rebound in China," Energy, Elsevier, vol. 328(C).
  24. Shanwen Gu & Adil Javed, 2025. "Artificial Intelligence Adoption and Role of Energy Structure, Infrastructure, Financial Inclusions, and Carbon Emissions: Quantile Analysis of E-7 Nations," Sustainability, MDPI, vol. 17(13), pages 1-25, June.
  25. Huang, Qiu & Lin, Silu & Guo, Yizhuo, 2024. "Can energy transition improve the quality of life for the population?–Empirical analysis of 30 provinces in China," Energy, Elsevier, vol. 313(C).
  26. Niu, Xiaotong & Lin, Changao & He, Shanshan & Yang, Youcai, 2025. "Artificial intelligence and enterprise pollution emissions: From the perspective of energy transition," Energy Economics, Elsevier, vol. 144(C).
  27. Agata Jaroń & Anna Borucka, 2024. "Analysis of Energy System Transformations in the European Union," Energies, MDPI, vol. 17(23), pages 1-18, December.
  28. Wan, Yaqi & Li, Zhensheng, 2025. "Environmental governance shock and industrial intelligence upgrading: Insights from machine-labor substitution," International Review of Financial Analysis, Elsevier, vol. 102(C).
  29. Gao, Xiangming & Ji, Xinliang & Wang, Rong & Yu, Jian, 2025. "The effect of artificial intelligence on energy transition: Evidence from China," Energy Economics, Elsevier, vol. 147(C).
  30. Wang, Jiazhen & Han, Youpeng & Long, Huaigang & Zhang, Xinyu, 2025. "Digital intelligence and low-carbon transition risk: Evidence from China," Finance Research Letters, Elsevier, vol. 86(PB).
  31. Shuang Guo & Xiaodong Yan, 2025. "Investigation of Industrial Structure Upgrading, Energy Consumption Transition, and Carbon Emissions: Evidence from the Yangtze River Economic Belt in China," Sustainability, MDPI, vol. 17(10), pages 1-30, May.
  32. Zhu, Qing & Che, Jianhua & Liu, Shan & Wu, Liangzheng & Zhang, Jigang & Li, Yuze, 2025. "How can artificial intelligence technology applications accelerate energy innovation in China? Evidence from provincial regional data," Economic Analysis and Policy, Elsevier, vol. 87(C), pages 484-502.
  33. Dong, Feng & Zhao, Xu & Mangla, Sachin Kumar & Song, Malin, 2025. "Enhanced supply chain resilience under geopolitical risks: The role of artificial intelligence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 202(C).
  34. Chao Gao & Jiayu Fang, 2025. "The Green Effect of Digital Intelligence in Chinese Cities: An Empirical Investigation Based on Big Data and Machine Learning Methods," Sustainability, MDPI, vol. 17(15), pages 1-20, July.
  35. Wenhua Xu & Qixiang Yuan & Naixin Chen & Jian Ye, 2025. "Green Finance and Energy Structure Transition: Evidence from China," Sustainability, MDPI, vol. 17(11), pages 1-20, May.
  36. Xi, Kang & Shao, Xuefeng, 2025. "Impact of AI applications on corporate green innovation," International Review of Economics & Finance, Elsevier, vol. 99(C).
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