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Carbon emission reduction effects of industrial robot applications: Heterogeneity characteristics and influencing mechanisms

Citations

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Cited by:

  1. Mao, Fengfu & Hou, Yuqiao & Wang, Rong & Wang, Zongshun, 2023. "Can industrial intelligence break the carbon curse of natural resources in the context of Post-Covid-19 period? Fresh evidence from China," Resources Policy, Elsevier, vol. 86(PA).
  2. Tianru Qin & Lin Liang & Peng Liang & Wenqun Liang, 2025. "Can industrial robot utilization drive the total factor productivity of enterprises?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(1), pages 129-148, January.
  3. Chen, Pengyu & Chu, Zhongzhu & Zhao, Miao, 2024. "The Road to corporate sustainability: The importance of artificial intelligence," Technology in Society, Elsevier, vol. 76(C).
  4. Wenjuan Lu & Shenya Mao & Xinfeng Qiu & Chenjing Yan, 2025. "Industrial Robots and Environmental Pollution: Evidence From Chinese Cities," Journal of International Development, John Wiley & Sons, Ltd., vol. 37(3), pages 820-833, April.
  5. Huang, Qian & Feng, Qing, 2024. "Bi-level multi-objective optimization for a hybrid carbon pricing initiative towards biomass co-firing with coal," Renewable Energy, Elsevier, vol. 237(PD).
  6. 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.
  7. 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).
  8. 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).
  9. Liu, Yunxin & Cao, Yuqiang & Lu, Meiting & Shan, Yaowen & Xu, Jiangang, 2024. "Automating efficiency: The impact of industrial robots on labor investment in China," Economic Modelling, Elsevier, vol. 140(C).
  10. Özköse, Hakan & Güney, Gül, 2023. "The effects of industry 4.0 on productivity: A scientific mapping study," Technology in Society, Elsevier, vol. 75(C).
  11. Han, Wang-Zhe & Zhang, Yi-Ming, 2024. "Carbon reduction effect of industrial robots: Breaking the impasse for carbon emissions and development," Innovation and Green Development, Elsevier, vol. 3(3).
  12. Lee, Chien-Chiang & Yan, Jingyang, 2024. "Will artificial intelligence make energy cleaner? Evidence of nonlinearity," Applied Energy, Elsevier, vol. 363(C).
  13. Fu, Tong & Qiu, Zhaoxuan & Yang, Xiangyang & Li, Zijun, 2024. "The impact of artificial intelligence on green technology cycles in China," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
  14. Zhou, Wei & Zhuang, Yan & Chen, Yan, 2024. "How does artificial intelligence affect pollutant emissions by improving energy efficiency and developing green technology," Energy Economics, Elsevier, vol. 131(C).
  15. 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).
  16. Yi He & Xiang Zhang & Qinghua Xie, 2024. "Environmental regulation and carbon emission efficiency: Evidence from pollution levy standards adjustment in China," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-22, February.
  17. 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.
  18. 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.
  19. Emmanuel Baffour Gyau & Yaya Li & Michael Appiah, 2025. "Global digital transformation: discovering the impact of digitalization on income inequality in OECD countries, the moderating role of globalization," Economic Change and Restructuring, Springer, vol. 58(1), pages 1-37, February.
  20. Tao, Weiliang & Weng, Shimei & Chen, Xueli & ALHussan, Fawaz Baddar & Song, Malin, 2024. "Artificial intelligence-driven transformations in low-carbon energy structure: Evidence from China," Energy Economics, Elsevier, vol. 136(C).
  21. Long, Guoren & Duan, Dingyun & Wang, Hua & Chen, Shaojian, 2024. "The impact of industrial robots on low-carbon green performance: Evidence from the belt and road initiative countries," Technology in Society, Elsevier, vol. 79(C).
  22. Lee, Chien-Chiang & Xuan, Chengnan & Wang, Fuhao, 2024. "Natural resources and green economic growth: The role of artificial intelligence," Resources Policy, Elsevier, vol. 98(C).
  23. Lin, Boqiang & Xu, Chongchong, 2024. "Enhancing energy-environmental performance through industrial intelligence: Insights from Chinese prefectural-level cities," Applied Energy, Elsevier, vol. 365(C).
  24. Zhao, Congyu & Dong, Kangyin & Wang, Kun & Nepal, Rabindra, 2024. "How does artificial intelligence promote renewable energy development? The role of climate finance," Energy Economics, Elsevier, vol. 133(C).
  25. 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.
  26. Wei Geng & Xiaoqian Liu & Xianchun Liao, 2024. "Mechanism analysis of the influence of intelligent manufacturing on carbon emission intensity: evidence from cross country and industry," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(6), pages 15777-15801, June.
  27. 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).
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