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Automation and productivity—a cross-country, cross-industry comparison

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Cited by:

  1. Wadho, Waqar & Chaudhry, Azam, 2024. "Measuring process innovation outputs and understanding their implications for firms and workers: Evidence from Pakistan," Technovation, Elsevier, vol. 136(C).
  2. Kariem Soliman, 2021. "Are Industrial Robots a new GPT? A Panel Study of Nine European Countries with Capital and Quality-adjusted Industrial Robots as Drivers of Labour Productivity Growth," EIIW Discussion paper disbei307, Universitätsbibliothek Wuppertal, University Library.
  3. Marco Bettiol & Mauro Capestro & Eleonora Di Maria & Roberto Ganau, 2024. "Is this time different? How Industry 4.0 affects firms’ labor productivity," Small Business Economics, Springer, vol. 62(4), pages 1449-1467, April.
  4. Xing Zhao & Sasa Yang, 2023. "Does Intelligence Improve the Efficiency of Technological Innovation?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(4), pages 3671-3695, December.
  5. Gan, Jiawu & Liu, Lihua & Qiao, Gang & Zhang, Qin, 2023. "The role of robot adoption in green innovation: Evidence from China," Economic Modelling, Elsevier, vol. 119(C).
  6. Bettiol, Marco & Capestro, Mauro & Di Maria, Eleonora & Ganau, Roberto, 2024. "Is this time different?: how Industry 4.0 affects firms' labor productivity," LSE Research Online Documents on Economics 124545, London School of Economics and Political Science, LSE Library.
  7. Mariia Vasiakina & Christian Dudel, 2024. "From efficiency to illness: do highly automatable jobs take a toll on health in Germany?," MPIDR Working Papers WP-2024-041, Max Planck Institute for Demographic Research, Rostock, Germany.
  8. Zhao, Yantong & Said, Rusmawati & Ismail, Normaz Wana & Hamzah, Hanny Zurina, 2024. "Impact of industrial robot on labour productivity: Empirical study based on industry panel data," Innovation and Green Development, Elsevier, vol. 3(2).
  9. Simone d’alessandro & Tiziano Distefano & Guilherme Spinato Morlin & Davide Villani, 2023. "Policy Responses to Labour-Saving Technologies: Basic Income, Job Guarantee, and Working Time Reduction," JRC Working Papers on Social Classes in the Digital Age 2023-09, Joint Research Centre.
  10. Duan, Dingyun & Chen, Shaojian & Feng, Zongxian & Li, Jun, 2023. "Industrial robots and firm productivity," Structural Change and Economic Dynamics, Elsevier, vol. 67(C), pages 388-406.
  11. D’Alessandro, Simone & Distefano, Tiziano & Spinato Morlin, Guilherme & Villani, Davide, 2025. "Exploring policy responses to labour-saving technologies: An assessment of basic income, job guarantee, and working time reduction," Journal of Policy Modeling, Elsevier, vol. 47(1), pages 49-63.
  12. Shurong Zi & Ziyuan Pan & Yanjie Chen & Xinheng Liu & Qi Ban, 2025. "Intelligent Manufacturing and Pollution Emissions from Chinese Manufacturing Firms: Theories and Mechanisms," Sustainability, MDPI, vol. 17(2), pages 1-21, January.
  13. Deng, Haiyan & Huang, Zhonghua & Wu, Jian & Güneri, Fatma & Shen, Z.Y. & Yu, Changxin, 2025. "Harnessing the power of industrial robots for green development: Evidence from China's manufacturing industry," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
  14. Yuan, Bo & Sun, Pengbo, 2024. "Does the high-tech foreign investment spark robot adoption in the developing world? Evidence from China," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 302-314.
  15. Xiaofei Wang & Shaowen Zhan & Longlong Liu & Peng Zhang, 2025. "Research on the Green and Low-Carbon Development Path of Digital Intelligence Empowering Enterprises in Manufacturing Industry," Sustainability, MDPI, vol. 17(6), pages 1-23, March.
  16. Cui, Huijie & Liang, Shangkun & Xu, Canyu & Junli, Yu, 2024. "Robots and analyst forecast precision: Evidence from Chinese manufacturing," International Review of Financial Analysis, Elsevier, vol. 94(C).
  17. DeStefano, Timothy & Timmis, Jonathan, 2024. "Robots and export quality," Journal of Development Economics, Elsevier, vol. 168(C).
  18. Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 276-293.
  19. Borsato, Andrea & Lorentz, André, 2023. "The Kaldor–Verdoorn law at the age of robots and AI," Research Policy, Elsevier, vol. 52(10).
  20. Wang, En-Ze & Lee, Chien-Chiang & Li, Yaya, 2022. "Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries," Energy Economics, Elsevier, vol. 105(C).
  21. Yuan, Sai & Zhou, Ran & Li, Mengna & Lv, Chengchao, 2023. "Investigating the influence of digital technology application on employee compensation," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
  22. Ozlem Fikirli & Hasan Sahin, 2024. "Drivers of Advanced Digital Technologies," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 10(2), pages 43-54, December.
  23. Teng, Huiyang & Li, Xiaoshuo & Liu, Yuyan, 2024. "Industrial robot use and corporate real earnings management: Evidence from China," Finance Research Letters, Elsevier, vol. 69(PB).
  24. 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.
  25. Yin, Zi Hui & Zeng, Wei Ping, 2023. "The effects of industrial intelligence on China's energy intensity: The role of technology absorptive capacity," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
  26. Parteka, Aleksandra & Kordalska, Aleksandra, 2023. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," Technovation, Elsevier, vol. 125(C).
  27. Filippi, Emilia & Bannò, Mariasole & Trento, Sandro, 2023. "Automation technologies and their impact on employment: A review, synthesis and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
  28. Sharfaei, Shahab & Bittner, Jan, 2024. "Technological employment: Evidence from worldwide robot adoption," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
  29. Wellalage, Nirosha & Wallace, Damien & Reddy, Krishna, 2025. "Access to finance: The role of production level technology," Finance Research Letters, Elsevier, vol. 71(C).
  30. Andre Jungmittag, 2021. "Robotisation of the manufacturing industries in the EU: Convergence or divergence?," The Journal of Technology Transfer, Springer, vol. 46(5), pages 1269-1290, October.
  31. Liu, Yang & Zuo, Yuxiao, 2025. "Implementing intelligent manufacturing policies to increase the total factor productivity in manufacturing: Transmission mechanisms through construction of industrial chains," International Journal of Production Economics, Elsevier, vol. 279(C).
  32. Huang, Geng & He, Ling-Yun & Lin, Xi, 2022. "Robot adoption and energy performance: Evidence from Chinese industrial firms," Energy Economics, Elsevier, vol. 107(C).
  33. Cheng, Han & Min, Changyi, 2025. "The mitigation effect of industrial robots on air pollution," International Review of Economics & Finance, Elsevier, vol. 99(C).
  34. Yining Zhang & Zhong Wu, 2021. "Intelligence and Green Total Factor Productivity Based on China’s Province-Level Manufacturing Data," Sustainability, MDPI, vol. 13(9), pages 1-16, April.
  35. Kanit Sangsubhan & Kumpon Pornpattanapaisankul & Pisacha Kambuya, 2023. "Automation and Productivity: Evidence from Thai Manufacturing Firms," PIER Discussion Papers 199, Puey Ungphakorn Institute for Economic Research.
  36. Rongyun Zhou & Qian Zhang, 2024. "The Impact of Industrial Robots on the Sustainable Development of Zombie Firms in China," Sustainability, MDPI, vol. 16(5), pages 1-16, March.
  37. 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.
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