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Artificial intelligence technology innovation and firm productivity: Evidence from China

Citations

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Cited by:

  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. Tao Chen & Shuwen Pi & Qing Sophie Wang, 2025. "Artificial Intelligence and Corporate Investment Efficiency: Evidence from Chinese Listed Companies," Working Papers in Economics 25/05, University of Canterbury, Department of Economics and Finance.
  3. Xie, Xiaoyu & Yan, Jun, 2024. "How does artificial intelligence affect productivity and agglomeration? Evidence from China's listed enterprise data," International Review of Economics & Finance, Elsevier, vol. 94(C).
  4. Zhang, Yuan & Li, Ying, 2025. "Enhancing innovation capabilities, digital management, and corporate competitiveness," Finance Research Letters, Elsevier, vol. 73(C).
  5. Li, Yan, 2025. "Can institutional openness policies enhance corporate technology innovation efficiency?Evidence from the establishment of Free Trade Zone," International Review of Economics & Finance, Elsevier, vol. 97(C).
  6. Qin, Meng & Hu, Wei & Qi, Xinzhou & Chang, Tsangyao, 2024. "Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy," Energy Economics, Elsevier, vol. 131(C).
  7. 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).
  8. Dongwei Li & Jing Xiao & Fangfang Yang, 2024. "Artificial Intelligence and Enterprise Green Innovation: Intrinsic Mechanisms and Heterogeneous Effects," Sustainability, MDPI, vol. 16(21), pages 1-18, October.
  9. Yang, Senmiao & Wang, Jianda & Dong, Kangyin & Dong, Xiucheng & Wang, Kun & Fu, Xiaowen, 2024. "Is artificial intelligence technology innovation a recipe for low-carbon energy transition? A global perspective," Energy, Elsevier, vol. 300(C).
  10. Sun, Zhiyao & Che, Shuai & Wang, Jie, 2024. "Deconstruct artificial intelligence's productivity impact: A new technological insight," Technology in Society, Elsevier, vol. 79(C).
  11. Ryota Nakatani, 2024. "Multifactor productivity growth enhancers across industries and countries: firm-level evidence," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 14(2), pages 401-446, June.
  12. Zhong, Xi & She, Jianquan & Wu, Xiaojie, 2024. "Tech for social good: Artificial intelligence and workplace safety," Technology in Society, Elsevier, vol. 79(C).
  13. Liu, Yeshen & Wang, Beibei & Song, Zhe, 2025. "Promoting or inhibiting: The impact of artificial intelligence application on corporate environmental performance," International Review of Financial Analysis, Elsevier, vol. 97(C).
  14. 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.
  15. Zhu, Fengzhan & Chen, Liang, 2025. "Credit availability, overinvestment, and corporate innovation capability," Finance Research Letters, Elsevier, vol. 76(C).
  16. Ma, Dechao & Wu, Weiwei, 2024. "Does artificial intelligence drive technology convergence? Evidence from Chinese manufacturing companies," Technology in Society, Elsevier, vol. 79(C).
  17. Zhang, Longpeng & Zhang, Xingye, 2025. "Impact of digital government construction on the intelligent transformation of enterprises: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
  18. Xiao, Fenghua & Wang, Jinbo & Li, Huijun & Yang, Juan, 2024. "Population aging and corporate human capital restructuring," Finance Research Letters, Elsevier, vol. 67(PA).
  19. Zhai, Minhan & Wu, Wenqing & Tsai, Sang-Bing, 2025. "The effects of Artificial intelligence orientation on inefficient investment: Firm-level evidence from China's energy enterprises," Energy Economics, Elsevier, vol. 141(C).
  20. Ksenia V. Ekimova, 2023. "Development of the potential of the digital economy of Russian regions through artificial intelligence humanisation," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
  21. Liu, Xukang & Ma, Chaoqun & Ren, Yi-Shuai, 2024. "How AI powers ESG performance in China's digital frontier?," Finance Research Letters, Elsevier, vol. 70(C).
  22. Wang, Chao & Zhang, Yue-Jun, 2024. "Does environmental investment improve corporate productivity? Evidence from Chinese listed firms," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 398-409.
  23. Cheng, Xuanmei & Du, Anna Min & Yan, Chengnuo & Goodell, John W., 2025. "Internal business process governance and external regulation: How does AI technology empower financial performance?," International Review of Financial Analysis, Elsevier, vol. 99(C).
  24. Ruitao Li & Chuanxian Li & Shijun Guo, 2024. "The Impact of Artificial Intelligence on Labor Market: Evidence from China," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(67), pages 867-867, August.
  25. Wang, Dingqing & Liao, Hongwei & Wang, Xinyue, 2024. "The enabling effects of digital technology on the quality of firm development: Insights and implications," International Review of Financial Analysis, Elsevier, vol. 96(PA).
  26. Bai, Caiquan & Yao, Di & Xue, Qihang, 2025. "Does artificial intelligence suppress firms' greenwashing behavior? Evidence from robot adoption in China," Energy Economics, Elsevier, vol. 142(C).
  27. Qiao, Xiaole & He, Yang & Du, Qiang, 2025. "How does the urban digital economy drive labor allocation in China?—A perspective of factor mobility between digital and non-digital enterprises," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 1159-1175.
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