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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. 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).
  5. 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.
  6. 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.
  7. 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).
  8. 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.
  9. 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.
  10. 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.
  11. 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).
  12. 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.
  13. Borsato, Andrea & Lorentz, André, 2023. "The Kaldor–Verdoorn law at the age of robots and AI," Research Policy, Elsevier, vol. 52(10).
  14. 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).
  15. 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).
  16. 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.
  17. 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.
  18. 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).
  19. Parteka, Aleksandra & Kordalska, Aleksandra, 2023. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," Technovation, Elsevier, vol. 125(C).
  20. 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).
  21. 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.
  22. Huang, Geng & He, Ling-Yun & Lin, Xi, 2022. "Robot adoption and energy performance: Evidence from Chinese industrial firms," Energy Economics, Elsevier, vol. 107(C).
  23. 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.
  24. DeStefano, Timothy & Timmis, Jonathan, 2024. "Robots and export quality," Journal of Development Economics, Elsevier, vol. 168(C).
  25. 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.
  26. 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.
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