IDEAS home Printed from https://ideas.repec.org/r/eee/ecolec/v216y2024ics0921800923002847.html

Impact of industrial intelligence on green total factor productivity: The indispensability of the environmental system

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Ren, Baoping & Qiu, Zhaoxuan & Liu, Bei, 2025. "Supply chain decarbonisation effects of artificial Intelligence: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 101(C).
  2. 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).
  3. Zhai, Ying & Wang, Wenzhi & Zhou, Liying, 2024. "Green efficiency loss caused by economic growth goals: Evidence from an emerging economy," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 983-995.
  4. Wang, Miao & Wang, Yiduo & Feng, Chao, 2025. "Artificial intelligence, institutional environment, and corporate green transformation: Evidence from China's resource-based sector," International Review of Economics & Finance, Elsevier, vol. 103(C).
  5. 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).
  6. Daojun Li & Haiqin Wang & Juan Wang, 2024. "Artificial Intelligence and Technological Innovation: Evidence from China’s Strategic Emerging Industries," Sustainability, MDPI, vol. 16(16), pages 1-24, August.
  7. Yang, Kunyu & Kuang, Jinsong, 2025. "How artificial intelligence applications enhance enterprise green total factor productivity? A perspective on human-machine matching and labor skill structure," Economic Analysis and Policy, Elsevier, vol. 87(C), pages 926-947.
  8. Eirini Stergiou & Nikos Rigas & Giancarlo Ferrara & Eleni Mantzari & Konstantinos Kounetas, 2024. "National Environmental Taxes and Industrial Waste in Countries across Europe," Energies, MDPI, vol. 17(10), pages 1-13, May.
  9. Ningning Ni & Xinya Chen & Yifan Guo & Xing Zhao, 2025. "Toward Economic Recovery: Can Industrial Intelligence Improve Total Factor Productivity?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(3), pages 12226-12257, September.
  10. 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).
  11. Ye Chenghao & Igor A. Mayburov & Gao Hongjie, 2025. "Can Environmental Protection Tax Reform Promote Green Comprehensive Efficiency Productivity? Evidence from China’s Provincial Panel Data," Journal of Tax Reform, Graduate School of Economics and Management, Ural Federal University, vol. 11(1), pages 149-174.
  12. Chen, Lei & Jiang, Nana & Wang, Shuai, 2025. "An impossible driver for energy justice? Exploring the impact of artificial intelligence on China's energy transition," Energy Policy, Elsevier, vol. 207(C).
  13. Boyu Yuan & Runde Gu & Peng Wang & Yuwei Hu, 2025. "How Does New Quality Productive Forces Affect Green Total Factor Energy Efficiency in China? Consider the Threshold Effect of Artificial Intelligence," Sustainability, MDPI, vol. 17(15), pages 1-21, August.
  14. Schneider, Florian, 2024. "Do robots boost productivity? A quantitative meta-study," MPRA Paper 123392, University Library of Munich, Germany.
  15. Huang, Chenchen & Min Du, Anna & Lin, Boqiang, 2025. "How does the digital economy affect the green transition: The role of industrial intelligence and E-commerce," Research in International Business and Finance, Elsevier, vol. 73(PA).
  16. Sun, Guanglin & Ling, Zhencheng & Li, Yanru & Xie, Chang, 2025. "Artificial intelligence and financial fraud," Pacific-Basin Finance Journal, Elsevier, vol. 93(C).
  17. Ying Deng & Qianqian Yue & Xin Zhao, 2024. "What Does Air Quality Information Disclosure Deliver and to Whom? Evidence from the Ambient Air Quality Standard (2012) Program in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(11), pages 2859-2887, November.
  18. Wang, Di & Liang, Y.F. & Dou, Wei, 2025. "How does urban industrial structure upgrading affect green productivity? The moderating role of smart city development," Structural Change and Economic Dynamics, Elsevier, vol. 72(C), pages 133-149.
  19. Yue Yuan & Xiaoyang Guo & Yang Shen, 2024. "Digitalization Drives the Green Transformation of Agriculture-Related Enterprises: A Case Study of A-Share Agriculture-Related Listed Companies," Agriculture, MDPI, vol. 14(8), pages 1-28, August.
  20. Kamguia, Brice & Tadadjeu, Sosson & Ndoya, Hermann & Djeunankan, Ronald, 2025. "Assessing the nexus between industrialization and inclusive green growth in Africa. The critical role of energy efficiency," Ecological Economics, Elsevier, vol. 233(C).
  21. Yang, Xiyue & Chen, Hui & Li, Baoxi & Jia, Danning & Ahmad, Mahmood, 2025. "The relationship between artificial intelligence, geopolitical risk, and green growth: Exploring the moderating role of green finance and energy technology," Technological Forecasting and Social Change, Elsevier, vol. 217(C).
  22. 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).
  23. Jianlong Wang & Weilong Wang & Yong Liu, 2024. "RETRACTED ARTICLE: Exploring the impact of clean energy interconnections on sustainable economic growth in China," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-32, June.
  24. Han, Jie & Zhang, Wei & Liu, Xuemeng & Muhammad, Anas & Li, Zhenjie & Işık, Cem, 2025. "Climate policy uncertainty and green total factor energy efficiency: Does the green finance matter?," International Review of Financial Analysis, Elsevier, vol. 104(PA).
  25. 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).
  26. Ren, Yuheng & Zhang, Jue & Wang, Xin, 2024. "How does data factor utilization stimulate corporate total factor productivity: A discussion of the productivity paradox," International Review of Economics & Finance, Elsevier, vol. 96(PC).
  27. Chunyan Zhao & Linjing Wang & Chaobo Zhou, 2024. "Impact of Industrial Intelligence on China’s Urban Land Green Utilization Efficiency," Land, MDPI, vol. 13(8), pages 1-17, August.
  28. Zhu, Bangzhu & Chen, Gang & Wang, Ping, 2024. "How does green fiscal policy promote the synergy of pollution mitigation and carbon reduction? Evidence from China," Energy, Elsevier, vol. 313(C).
  29. Dejan Glavas & Gilles Grolleau & Naoufel Mzoughi, 2025. "IT Professionals Trust in Artificial Intelligence vs. Human Experts for Achieving Sustainable Development Goals," Post-Print hal-05209259, HAL.
  30. 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.
  31. Mijit, Razia & Hu, Qianlin & Xu, Jingxuan & Ma, Guangrong, 2025. "Greening through AI? The impact of Artificial Intelligence Innovation and Development Pilot Zones on green innovation in China," Energy Economics, Elsevier, vol. 146(C).
  32. Zhao, Xiongfei & Li, Shuangjie, 2025. "Artificial intelligence and public environmental concern: Impacts on green innovation transformation in energy-intensive enterprises," Energy Policy, Elsevier, vol. 198(C).
  33. Zhu, Bangzhu & Chen, Gang & Wang, Ping, 2025. "Nonlinear impacts of industrial intelligence on synergistic reduction of pollution and carbon emissions: The role of technological factors," Energy Economics, Elsevier, vol. 149(C).
  34. Yang, Haoran & Chen, Qiu, 2025. "Material balance and correction for the measurement of green total factor productivity growth," Energy Economics, Elsevier, vol. 148(C).
  35. He, Ling-Yun & Wang, Liang, 2025. "Can artificial intelligence curb greenwashing? Firm-level evidence based on large language model," Energy Economics, Elsevier, vol. 152(C).
  36. Tissaoui, Kais & Zaghdoudi, Taha, 2025. "Against a background of energy uncertainty and climate change, is there a substitution effect between fossil fuels in OECD countries?," Energy, Elsevier, vol. 320(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.