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How does artificial intelligence affect pollutant emissions by improving energy efficiency and developing green technology

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  1. Song, Yang & Zhang, Yue & Zhang, Zhipeng & Sahut, Jean-Michel, 2025. "Artificial intelligence, digital finance, and green innovation," Global Finance Journal, Elsevier, vol. 64(C).
  2. Sultanuzzaman, Md Reza & Yahya, Farzan & Lee, Chien-Chiang, 2024. "Exploring the complex interplay of green finance, business cycles, and energy development," Energy, Elsevier, vol. 306(C).
  3. Huawei Yang & Pan Zhang & Chenxing Zhang & Peiwen Zhang & Xiaoyan Jia, 2024. "A Study on CO₂ Emission Reduction Strategies of Coal-Fired Power Plants Based on CCUS-ECBM Source-Sink Matching," Energies, MDPI, vol. 17(23), pages 1-14, November.
  4. 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.
  5. Zhilun Jiao & Chenrui Zhang & Wenwen Li, 2025. "Artificial Intelligence in Energy Economics Research: A Bibliometric Review," Energies, MDPI, vol. 18(2), pages 1-30, January.
  6. Lin, Boqiang & Xu, Chongchong, 2024. "The effects of industrial robots on firm energy intensity: From the perspective of technological innovation and electrification," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
  7. Wang, Yangjie & Shinwari, Riazullah & Naeem, Muhammad Abubakr, 2024. "The effects of green technology and globalization on energy demand in emerging economies," Renewable Energy, Elsevier, vol. 237(PC).
  8. 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).
  9. Ni, Mengying & Liu, Zimin & Zhang, Zhuang, 2025. "Greening through economic complexity: New evidence from Chinese cities," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 2063-2090.
  10. 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).
  11. 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.
  12. 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).
  13. Ying Peng & Xinyue Wang & Weilong Gao, 2025. "The Impact of Data Element Marketization on Green Total Factor Energy Efficiency: Empirical Evidence from China," Sustainability, MDPI, vol. 17(9), pages 1-25, May.
  14. Hao, Xiaoli & Miao, Erxiang & Sun, Qingyu & Li, Ke & Wen, Shufang & Wu, Haitao, 2025. "When climate policy's up in the air: How digital technology impacts corporate energy intensity," Energy Economics, Elsevier, vol. 144(C).
  15. Lee, Chien-Chiang & Hussain, Jafar & Abass, Qasir, 2025. "An integrated analysis of AI-driven green financing, subsidies, and knowledge to enhance CO2 reduction efficiency," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 675-693.
  16. 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.
  17. Cao, Qingfeng & Chi, Chuenyu & Shan, Junhui, 2025. "Can artificial intelligence technology reduce carbon emissions? A global perspective," Energy Economics, Elsevier, vol. 143(C).
  18. Guo, Qingbin & Peng, Yanqing & Luo, Kang, 2025. "The impact of artificial intelligence on energy environmental performance: Empirical evidence from cities in China," Energy Economics, Elsevier, vol. 141(C).
  19. Shuting Li & Zhifeng Wang & Jinggen Lv, 2025. "The Role of Local Government Decarbonization Pressures in Enhancing Urban Industrial Intelligence: An Analysis of Proactive and Reactive Corporate Environmental Governance," Sustainability, MDPI, vol. 17(9), pages 1-22, May.
  20. Cao, Fangzhi & Su, Chi-Wei & Qin, Meng & Moldovan, Nicoleta-Claudia, 2024. "The investment of renewable energy: Is green bond a safe-haven to hedge U.S. monetary policy uncertainty?," Energy, Elsevier, vol. 307(C).
  21. Wang, Yafei & Shi, Ming & Liu, Junnan & Zhong, Min & Ran, Rong, 2025. "The impact of digital-real integration on energy productivity under a multi-governance framework: The mediating role of AI and embodied technological progress," Energy Economics, Elsevier, vol. 142(C).
  22. Li, Xin & Li, Shiyuan & Cao, Jifeng & Spulbar, Andrei Cristian, 2025. "Does artificial intelligence improve energy efficiency? Evidence from provincial data in China," Energy Economics, Elsevier, vol. 142(C).
  23. Hongmin Chen & Yingmei Xu, 2024. "Industry Energy Dependence Characteristics Under Different Energy Consumption Accounting Scopes: A Comparison Between China and the U.S," Sustainability, MDPI, vol. 16(22), pages 1-25, November.
  24. Schneider, Florian, 2024. "Do robots boost productivity? A quantitative meta-study," MPRA Paper 123392, University Library of Munich, Germany.
  25. Jiao, Anqi & Lu, Juntai & Ren, Honglin & Wei, Jia, 2024. "The role of AI capabilities in environmental management: Evidence from USA firms," Energy Economics, Elsevier, vol. 134(C).
  26. Zhaoxin Song & Yongfeng Duan & Guanying Wang & Shuoxun Cheng, 2025. "Artificial Intelligence and Social Well-Being in the Yellow River Basin: A Cultural Lag Theory Perspective," Sustainability, MDPI, vol. 17(5), pages 1-27, February.
  27. Zhao, Mingtao & Fu, Xuebao & Sun, Jun & Wang, ZhenZhen & Wang, HongJiu & Lu, Suwan & Cui, Lianbiao, 2025. "Optimal strategy of artificial intelligence on low-carbon energy transformation: Perspective from enterprise green technology innovation efficiency," Energy, Elsevier, vol. 319(C).
  28. Li, Cong & Zhang, Yue & Liu, Xihua & Sun, Jiawen, 2025. "Does artificial intelligence promote green technology innovation in the energy industry?," Energy Economics, Elsevier, vol. 144(C).
  29. Huang, Yujie & Liu, Shucheng & Gan, Jiawu & Liu, Baoliu & Wu, Yuxi, 2024. "How does the construction of new generation of national AI innovative development pilot zones drive enterprise ESG development? Empirical evidence from China," Energy Economics, Elsevier, vol. 140(C).
  30. Huo, Da & Gu, Wenjia & Guo, Dongmei & Tang, Aidi, 2024. "The service trade with AI and energy efficiency: Multiplier effect of the digital economy in a green city by using quantum computation based on QUBO modeling," Energy Economics, Elsevier, vol. 140(C).
  31. Büşra Ağan, 2024. "Forecasting Green Technology Diffusion in OECD Economies Through Machine Learning Analysis," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 9(3), pages 484-502.
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