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Disruptive Displacement: The Impacts of Industrial Robots on the Energy Industry’s International Division of Labor from a Technological Complexity View

Author

Listed:
  • Weiming Zhang

    (School of Law & Business, Wuhan Institute of Technology, Wuhan 430205, China)

  • Jiachao Peng

    (School of Law & Business, Wuhan Institute of Technology, Wuhan 430205, China
    Center for High Quality Collaborative Development of Resources, Environment and Economy, Wuhan Institute of Technology, Wuhan 430205, China)

  • Lian Zhang

    (School of Art & Design, Wuhan Institute of Technology, Wuhan 430205, China)

Abstract
In light of the growing economic uncertainties worldwide, the use of industrial robots has emerged as a significant opportunity for improving the production efficiency and the international division of labor in China’s energy industry. This study employed a two-way fixed-effect model utilizing data from 31 Chinese provinces between 2011 and 2019 to investigate the impact of industrial robots on the energy industry’s participation in the international division of labor. The results of the study indicated that the widespread application of industrial robots can boost the international division of labor status of China’s energy sector. This conclusion remains robust even after addressing the potential endogeneity issues and conducting a range of sensitivity tests. Furthermore, our findings suggest that the regions that possess abundant energy resources or exhibit a lower carbon intensity are more likely to leverage the use of industrial robots to increase the technological sophistication and enhance their participation in the international division of labor. The application of industrial robots in the energy industry can enhance the international division of labor through two distinct channels: optimizing the factor structure and reducing the export costs. Our findings have important policy implications for ensuring energy security and improving the energy industry’s participation in the international division of labor.

Suggested Citation

  • Weiming Zhang & Jiachao Peng & Lian Zhang, 2023. "Disruptive Displacement: The Impacts of Industrial Robots on the Energy Industry’s International Division of Labor from a Technological Complexity View," Energies, MDPI, vol. 16(8), pages 1-19, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:8:p:3349-:d:1120129
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    References listed on IDEAS

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    1. Artuc, Erhan & Bastos, Paulo & Rijkers, Bob, 2023. "Robots, tasks, and trade," Journal of International Economics, Elsevier, vol. 145(C).
    2. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    3. Daron Acemoglu & Claire Lelarge & Pascual Restrepo, 2020. "Competing with Robots: Firm-Level Evidence from France," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 383-388, May.
    4. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    5. Hallak, Juan Carlos & Sivadasan, Jagadeesh, 2013. "Product and process productivity: Implications for quality choice and conditional exporter premia," Journal of International Economics, Elsevier, vol. 91(1), pages 53-67.
    6. Ricardo Hausmann & Jason Hwang & Dani Rodrik, 2007. "What you export matters," Journal of Economic Growth, Springer, vol. 12(1), pages 1-25, March.
    7. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    8. Hengfan Lu & Jiachao Peng & Xiangyi Lu, 2022. "Do Factor Market Distortions and Carbon Dioxide Emissions Distort Energy Industry Chain Technical Efficiency? A Heterogeneous Stochastic Frontier Analysis," Energies, MDPI, vol. 15(17), pages 1-22, August.
    9. Jiachao Peng & Shuke Fu & Da Gao & Jiali Tian, 2023. "Greening China’s Growth: Assessing the Synergistic Impact of Financial Development and Technological Innovation on Environmental Pollution Reduction—A Spatial STIRPAT Analysis," IJERPH, MDPI, vol. 20(6), pages 1-19, March.
    10. Trajtenberg, Manuel, 2018. "AI as the next GPT: a Political-Economy Perspective," CEPR Discussion Papers 12721, C.E.P.R. Discussion Papers.
    11. Georg Graetz & Guy Michaels, 2015. "Robots at work: the impact on productivity and jobs," CentrePiece - The magazine for economic performance 447, Centre for Economic Performance, LSE.
    12. Iain M. Cockburn & Rebecca Henderson & Scott Stern, 2018. "The Impact of Artificial Intelligence on Innovation," NBER Working Papers 24449, National Bureau of Economic Research, Inc.
    13. Jiachao Peng & Hanfei Chen & Lei Jia & Shuke Fu & Jiali Tian, 2023. "Impact of Digital Industrialization on the Energy Industry Supply Chain: Evidence from the Natural Gas Industry in China," Energies, MDPI, vol. 16(4), pages 1-32, February.
    14. Avi Goldfarb & Daniel Trefler, 2018. "AI and International Trade," NBER Working Papers 24254, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Lee, Chien-Chiang & Yan, Jingyang, 2024. "Will artificial intelligence make energy cleaner? Evidence of nonlinearity," Applied Energy, Elsevier, vol. 363(C).
    2. Changqing Lin & Shengpeng Xiao & Pingjuan Tang, 2024. "Does Artificial Intelligence Improve Export Technical Complexity Upgrade of Manufacturing Enterprises? Evidence from China," SAGE Open, , vol. 14(3), pages 21582440241, July.
    3. Jiachao Peng & Le Wen & Jianzhong Xiao & Ming Yi & Mingyue Selena Sheng, 2024. "Industrial Chain, Supply Chain and Value Chain in the Energy Industry: Opportunities and Challenges," Energies, MDPI, vol. 17(6), pages 1-3, March.

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