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Artificial Intelligence and Energy Intensity in China’s Industrial Sector: Effect and Transmission Channel

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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. Chai, Jingxia & Wu, Haitao & Hao, Yu, 2022. "Planned economic growth and controlled energy demand: How do regional growth targets affect energy consumption in China?," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
  3. Lorena Espina-Romero & José Gregorio Noroño Sánchez & Humberto Gutiérrez Hurtado & Helga Dworaczek Conde & Yessenia Solier Castro & Luz Emérita Cervera Cajo & Jose Rio Corredoira, 2023. "Which Industrial Sectors Are Affected by Artificial Intelligence? A Bibliometric Analysis of Trends and Perspectives," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
  4. Shuai Wang & Xin Huang & Mengyue Xia & Xing Shi, 2024. "Does Artificial Intelligence Promote Firms’ Innovation Efficiency: Evidence from the Robot Application," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 16373-16394, December.
  5. 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).
  6. Xiangyi Li & Qing Wang & Ying Tang, 2024. "The Impact of Artificial Intelligence Development on Urban Energy Efficiency—Based on the Perspective of Smart City Policy," Sustainability, MDPI, vol. 16(8), pages 1-22, April.
  7. Ping Han & Tingting He & Can Feng & Yihan Wang, 2024. "Research on Whether Artificial Intelligence Affects Industrial Carbon Emission Intensity Based on the Perspective of Industrial Structure and Government Intervention," Sustainability, MDPI, vol. 16(21), pages 1-19, October.
  8. 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).
  9. 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).
  10. He, Xiaogang & Teng, Ruifeng & Feng, Dawei & Gai, Jiahui, 2024. "Industrial robots and pollution: Evidence from Chinese enterprises," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 629-650.
  11. Xiekui Zhang & Peiyao Liu & Hongfei Zhu, 2022. "The Impact of Industrial Intelligence on Energy Intensity: Evidence from China," Sustainability, MDPI, vol. 14(12), pages 1-16, June.
  12. Huang, Geng & He, Ling-Yun & Lin, Xi, 2022. "Robot adoption and energy performance: Evidence from Chinese industrial firms," Energy Economics, Elsevier, vol. 107(C).
  13. Jun Liu & Hengxu Shen & Junwei Chen & Xin Jiang & Abdul Waheed Siyal, 2025. "Artificial Intelligence and Carbon Emissions: Mediating Role of Energy Efficiency, Factor Market Allocation and Industrial Structure," Energies, MDPI, vol. 18(5), pages 1-18, February.
  14. Yunwei Li & Qiuping Ji & Zijie Wang & Zishan Xiong & Simeng Zhan & Yiping Yang & Yu Hao, 2022. "Green energy mismatch, industrial intelligence and economics growth: theory and empirical evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11785-11816, October.
  15. Decheng Fan & Kairan Liu, 2021. "The Relationship between Artificial Intelligence and China’s Sustainable Economic Growth: Focused on the Mediating Effects of Industrial Structural Change," Sustainability, MDPI, vol. 13(20), pages 1-15, October.
  16. Alsagr, Naif & Ozturk, Ilhan, 2024. "How do energy security risk and ICT affect green investment?," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 1044-1055.
  17. Naiara Uriarte-Gallastegi & Germán Arana-Landín & Beñat Landeta-Manzano & Iker Laskurain-Iturbe, 2024. "The Role of AI in Improving Environmental Sustainability: A Focus on Energy Management," Energies, MDPI, vol. 17(3), pages 1-15, January.
  18. Abdullah Al Abrar Chowdhury & Azizul Hakim Rafi & Adita Sultana & Abdulla All Noman, 2024. "Enhancing Green Economy with Artificial Intelligence: Role of Energy Use and FDI in the United States," Papers 2501.14747, arXiv.org.
  19. Lin, Boqiang & Xu, Chongchong, 2024. "Enhancing energy-environmental performance through industrial intelligence: Insights from Chinese prefectural-level cities," Applied Energy, Elsevier, vol. 365(C).
  20. Zhang, Weike & Zeng, Ming, 2024. "Is artificial intelligence a curse or a blessing for enterprise energy intensity? Evidence from China," Energy Economics, Elsevier, vol. 134(C).
  21. Chen, Yang & Cheng, Liang & Lee, Chien-Chiang, 2022. "How does the use of industrial robots affect the ecological footprint? International evidence," Ecological Economics, Elsevier, vol. 198(C).
  22. Ping Chen & Jiawei Gao & Zheng Ji & Han Liang & Yu Peng, 2022. "Do Artificial Intelligence Applications Affect Carbon Emission Performance?—Evidence from Panel Data Analysis of Chinese Cities," Energies, MDPI, vol. 15(15), pages 1-16, August.
  23. Soyea Lee & Junseok Hwang & Eunsang Cho, 2022. "Comparing technology convergence of artificial intelligence on the industrial sectors: two-way approaches on network analysis and clustering analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 407-452, January.
  24. Wang, Bo & Wang, Jianda & Dong, Kangyin & Nepal, Rabindra, 2024. "How does artificial intelligence affect high-quality energy development? Achieving a clean energy transition society," Energy Policy, Elsevier, vol. 186(C).
  25. Xiekui Zhang & Baocheng Yu, 2023. "The Impact of Ownership Structure on Technological Innovation and Energy Intensity: Evidence from China," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
  26. Kunkel, S. & Neuhäusler, P. & Matthess, M. & Dachrodt, M.F., 2023. "Industry 4.0 and energy in manufacturing sectors in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
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