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Artificial intelligence and productivity: global evidence from AI patent and bibliometric data

Citations

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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. Fang Qu & Wensen She, 2025. "Artificial Intelligence Technology and Regional Carbon Emission Performance: Does Energy Transition or Industrial Transformation Matter?," Sustainability, MDPI, vol. 17(5), pages 1-31, February.
  3. James Bono & Alec Xu, 2024. "Randomized Controlled Trials for Security Copilot for IT Administrators," Papers 2411.01067, arXiv.org, revised Nov 2024.
  4. Xu, Juan & Chen, Yu & Yang, Nan & Shao, Shuai, 2025. "The impact of artificial intelligence on the energy transition: evidence from Chinese cities," World Development, Elsevier, vol. 195(C).
  5. Ma, Dechao & Wu, Weiwei, 2024. "Does artificial intelligence drive technology convergence? Evidence from Chinese manufacturing companies," Technology in Society, Elsevier, vol. 79(C).
  6. Victor & CHEN, 2025. "Beyond Patents: R&D, Capital, and the Productivity Puzzle in Early-Stage High-Tech Firms," Papers 2507.18227, arXiv.org.
  7. Aleksandra Parteka, 2025. "Trade Specialisation in Products Embedding Automation Technologies: Cross-Country Evidence and the Case of Poland," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 47-67.
  8. Cammarano, Antonello & Varriale, Vincenzo & Michelino, Francesca & Caputo, Mauro, 2024. "Discovering technological opportunities of cutting-edge technologies: A methodology based on literature analysis and artificial neural network," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
  9. Nicolae Istudor & Aura-Gabriela Socol & Marius-Corneliu Marinas & Cristian Socol, 2024. "Analysis of the Adequacy of Employees Skills for the Adoption of Artificial Intelligence in Central and Eastern European Countries," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(67), pages 703-703, August.
  10. Parteka, Aleksandra & Zarach, Zuzanna Helena & Kordalska, Aleksandra, 2025. "Technological content of export diversification—Evolution along the economic growth process," Structural Change and Economic Dynamics, Elsevier, vol. 74(C), pages 14-27.
  11. Zhao, Xuefeng & Wu, Weiwei & Wu, Delin, 2024. "How does AI perform in industry chain? A patent claims analysis approach," Technology in Society, Elsevier, vol. 79(C).
  12. Almeida, Derick & Naudé, Wim & Sequeira, Tiago Neves, 2024. "Artificial Intelligence and the Discovery of New Ideas: Is an Economic Growth Explosion Imminent?," IZA Discussion Papers 16766, Institute of Labor Economics (IZA).
  13. Chin, Tachia & Li, Zhisheng & Huang, Leping & Li, Xinyu, 2025. "How artificial intelligence promotes new quality productive forces of firms: A dynamic capability view," Technological Forecasting and Social Change, Elsevier, vol. 216(C).
  14. Lee, Chien-Chiang & Yan, Jingyang, 2024. "Will artificial intelligence make energy cleaner? Evidence of nonlinearity," Applied Energy, Elsevier, vol. 363(C).
  15. Han, Zhipeng & Wang, Liguo, 2025. "AI-driven carbon total factor productivity: Strategic lens on industrial enterprises," Energy, Elsevier, vol. 335(C).
  16. 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).
  17. Zhai, Shaoxuan & Liu, Zhenpeng, 2023. "Artificial intelligence technology innovation and firm productivity: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PB).
  18. Gao, Xiangming & Ji, Xinliang & Wang, Rong & Yu, Jian, 2025. "The effect of artificial intelligence on energy transition: Evidence from China," Energy Economics, Elsevier, vol. 147(C).
  19. Jiaqi Liu & Yiyang Cheng & Yamei Fu & Fei Xue, 2024. "The Impact of Digital Economy on TFP of Industries: Empirical Analysis Based on the Extension of Schumpeterian Model to Complex Economic Systems," Mathematics, MDPI, vol. 12(17), pages 1-24, August.
  20. Zhong, Wenli & Liu, Yang & Dong, Kangyin & Ni, Guohua, 2024. "Assessing the synergistic effects of artificial intelligence on pollutant and carbon emission mitigation in China," Energy Economics, Elsevier, vol. 138(C).
  21. Wu, Kai & Lu, Yufei, 2025. "The digital dilemma: Corporate digital transformation and default risk," Journal of Financial Stability, Elsevier, vol. 77(C).
  22. 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.
  23. Liana Badea & George-Laurentiu Serban-Oprescu & Silvia-Elena Iacob & Suman Mishra & Mihaela-Roberta Stanef, 2024. "Artificial Intelligence and the Future of Work A Sustainable Development Perspective," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(Special 1), pages 1031-1031, November.
  24. Li, Lanbing & Zhao, Jiawei & Yang, Yuhan & Ma, Dan, 2025. "Artificial intelligence and green development well-being: Effects and mechanisms in China," Energy Economics, Elsevier, vol. 141(C).
  25. Linus Nyiwul & Zhining Hu & Niraj P. Koirala, 2025. "Innovation and water productivity: Empirical evidence from water‐related patents," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 47(2), pages 515-555, May.
  26. Basnet, Anup & Elias, Maxim & Salganik-Shoshan, Galla & Walker, Thomas & Zhao, Yunfei, 2025. "Analyzing the market's reaction to AI narratives in corporate filings," International Review of Financial Analysis, Elsevier, vol. 105(C).
  27. Sun, Zhiyao & Che, Shuai & Wang, Jie, 2024. "Deconstruct artificial intelligence's productivity impact: A new technological insight," Technology in Society, Elsevier, vol. 79(C).
  28. Shi, Renbo & Shan, Wei & Evans, Richard & Wang, Qingjin, 2025. "Artificial intelligence-driven energy technology innovation: Dynamic impact and mechanism exploration," Energy Economics, Elsevier, vol. 147(C).
  29. Rana, Nripendra P. & Pillai, Rajasshrie & Sivathanu, Brijesh & Malik, Nishtha, 2024. "Assessing the nexus of Generative AI adoption, ethical considerations and organizational performance," Technovation, Elsevier, vol. 135(C).
  30. Khalil, Ashraf & Agarwal, Reeti & Yaqub, Muhammad Zafar & Papa, Armando, 2025. "Unlocking the AI-Productivity paradox in HR: Qualitative insights across organizational levels," Journal of Business Research, Elsevier, vol. 199(C).
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