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The effect of artificial intelligence on carbon intensity: Evidence from China's industrial sector

Citations

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  1. Wang, Jianlong & Wang, Weilong & Liu, Yong & Wu, Haitao, 2023. "Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China," Technology in Society, Elsevier, vol. 72(C).
  2. 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).
  3. Chen, Zhan-Ming & Xiong, Qiyang & Duan, Jiahui & Ma, Jianhong & Chen, Zhuo & Guo, Shan, 2025. "AI carbon footprint in China sets to double post-2030 carbon peaking," Energy Economics, Elsevier, vol. 150(C).
  4. Wu, Qiang & Zhou, Peng, 2025. "How Does Artificial Intelligence Change Carbon Emission Intensity? A Firm Lifecycle Perspective," Cardiff Economics Working Papers E2025/9, Cardiff University, Cardiff Business School, Economics Section.
  5. Ulug, Mehmet & Caglar, Abdullah Emre & Avci, Mehmet Alpertunga & Avci, Salih Bortecine, 2025. "Germany's sustainable future: How artificial intelligence and energy innovation shape the carbon neutrality roadmap?," Energy, Elsevier, vol. 335(C).
  6. Luo, Qingfeng & Wang, Jingyuan, 2025. "The impact of artificial intelligence development on embodied carbon emissions: Perspectives from the production and consumption sides," Energy Policy, Elsevier, vol. 199(C).
  7. Seongjun Yang & Donghyun Kim, 2024. "Spatial distribution and characteristics of vulnerable occupations to artificial intelligence: cases from South Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 72(4), pages 1079-1103, April.
  8. Lin, Boqiang & Xu, Chongchong, 2024. "Enhancing energy-environmental performance through industrial intelligence: Insights from Chinese prefectural-level cities," Applied Energy, Elsevier, vol. 365(C).
  9. 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).
  10. Talal Fawzi Alruwaili & Mahfoudh Hussein Mgammal, 2025. "The impact of artificial intelligence on accounting practices: an academic perspective," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-18, December.
  11. Saif-Alyousfi, Abdulazeez Y.H., 2025. "Artificial intelligence, information environment, and capital market efficiency," Research in International Business and Finance, Elsevier, vol. 79(C).
  12. Chen, Pengyu & Chu, Zhongzhu & Zhao, Miao, 2024. "The Road to corporate sustainability: The importance of artificial intelligence," Technology in Society, Elsevier, vol. 76(C).
  13. Zhang, Zhenhua & Zhang, Yunpeng & Wu, Huangbin & Song, Shunfeng & Pan, Yuxi & Feng, Yanchao, 2024. "Dual effects of automation on economy and environment: Evidence from A-share listed enterprises in China," China Economic Review, Elsevier, vol. 88(C).
  14. 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).
  15. Emmanuel Uche & Abdullah Emre Caglar & Magdalena Radulescu, 2025. "Assessing the environmental sustainability corridor in Japan: the role of artificial intelligence and low-carbon energy," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-13, December.
  16. Xue, Longfei & Gong, Yeming & Yang, Bingnan & Xu, Xianhao, 2024. "Resilience, efficiency fluctuations, and regional heterogeneity in disaster: An empirical study on logistics," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
  17. Wang, Linhui & Chen, Qi & Dong, Zhiqing & Cheng, Lu, 2024. "The role of industrial intelligence in peaking carbon emissions in China," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
  18. Qiang Wang & Tingting Sun & Rongrong Li, 2025. "Does artificial intelligence promote green innovation? An assessment based on direct, indirect, spillover, and heterogeneity effects," Energy & Environment, , vol. 36(2), pages 1005-1037, March.
  19. Zhao, Zuoxiang & Zhao, Qiuyun & Li, Siqi & Yan, Jiajia, 2025. "Artificial Intelligence-driven regional energy transition:Evidence from China," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 48-60.
  20. Han, Zhipeng & Wang, Liguo, 2025. "AI-driven carbon total factor productivity: Strategic lens on industrial enterprises," Energy, Elsevier, vol. 335(C).
  21. Shakeel Ahmad & Xuepin Wu & Atta UR Rahman & Asad Ullah, 2025. "Unlocking industrial decarbonization: the catalytic role of artificial intelligence in circular economy practices from EU countries," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
  22. 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).
  23. Hui Tian & Jiaqi Qin & Chaoyin Cheng & Sohail Ahmad Javeed & Tiansi Chu, 2024. "Towards low‐carbon sustainable development under Industry 4.0: The influence of industrial intelligence on China's carbon mitigation," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(1), pages 455-480, February.
  24. Wang, Qiulin & Hu, Jinmiao, 2025. "How do artificial intelligence applications affect the labor income share?New challenges to common prosperity in the digital economy era," International Review of Economics & Finance, Elsevier, vol. 103(C).
  25. Bergougui, Brahim, 2025. "Institutional adaptability, skill-bias technological shifts, and energy efficiency in global decarbonization pathways: Exploring the role of artificial intelligence patents," Technology in Society, Elsevier, vol. 83(C).
  26. Yi Feng & Diyun Peng & Yafei Li & Shuai Liu, 2024. "Can regional integration reduce carbon intensity? Evidence from city cluster in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(2), pages 5249-5274, February.
  27. Melguizo, Angel & Katz, Raúl & Jung, Juan, 2026. "Can AI grow green? Evidence of a Kuznets curve among AI, renewable energies and emissions," Energy Policy, Elsevier, vol. 208(C).
  28. Wang, Xiaoqing & Safi, Adnan & Ge, Fengning, 2025. "Towards carbon neutrality: Will artificial intelligence and green bond become catalysts?," Energy Economics, Elsevier, vol. 148(C).
  29. Liu, Jianjun & Liu, Mengting & Liang, Dapeng, 2025. "Research on the impact of digital technology application in industry on industrial carbon dioxide emissions: Evidence from China," Energy Economics, Elsevier, vol. 141(C).
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