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Blessing or Curse? The Impact of the Penetration of Industrial Robots on Green Sustainable Transformation in Chinese High-Energy-Consuming Industries

Author

Listed:
  • Yueqi Sun

    (School of Business, Macau University of Science and Technology, Taipa, Macau)

  • Junlong Ti

    (School of Business, Macau University of Science and Technology, Taipa, Macau)

  • Fang Yang

    (Center for Southeast Asian Studies, Xiamen University, Xiamen 361005, China)

  • Hsing Hung Chen

    (School of Business, Macau University of Science and Technology, Taipa, Macau)

Abstract

The rapid development and widespread application of artificial intelligence (AI) and robots have profoundly impacted the economy, society, and the environment. This article focuses on the relationship between industrial robots and green sustainable transformation in high-energy-consuming industries. Through the Poisson distribution fixed effect, the negative binomial fixed-effect model, and the two-way fixed-effect model, we found that the penetration of industrial robots in high-energy-consuming enterprises (HEEs) has a significant and positive effect on green innovation. In particular, we verified that total factor productivity and ESG, included in the zero-inflation model, have a breakthrough-accelerating role in the application of industrial robots to promote green sustainable transformation. Further analysis indicated that the adoption of industrial robots is also positively correlated with the improvement of corporate green sustainable transformation in non-state-owned enterprises, but state-owned enterprises are not sensitive. In the classification of segmented industries, only the metallurgical industry demonstrates the empowering role of green sustainable transformation. This article provides a new avenue for reshaping the low-carbon green sustainable transformation strategy of HEEs, as well as useful insights, supporting the achievement of carbon peak and carbon neutrality by promoting the application of industrial robots and further improving total factor productivity and ESG performance.

Suggested Citation

  • Yueqi Sun & Junlong Ti & Fang Yang & Hsing Hung Chen, 2025. "Blessing or Curse? The Impact of the Penetration of Industrial Robots on Green Sustainable Transformation in Chinese High-Energy-Consuming Industries," Energies, MDPI, vol. 18(3), pages 1-21, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:684-:d:1582104
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    as
    1. Jay Dixon & Bryan Hong & Lynn Wu, 2021. "The Robot Revolution: Managerial and Employment Consequences for Firms," Management Science, INFORMS, vol. 67(9), pages 5586-5605, September.
    2. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    3. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    4. Yang, Qin & Du, Qiang & Razzaq, Asif & Shang, Yunfeng, 2022. "How volatility in green financing, clean energy, and green economic practices derive sustainable performance through ESG indicators? A sectoral study of G7 countries," Resources Policy, Elsevier, vol. 75(C).
    5. Xianpu Xu & Yuchen Song, 2023. "Is There a Conflict between Automation and Environment? Implications of Artificial Intelligence for Carbon Emissions in China," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    6. Stavins, Robert & Jaffe, Adam & Newell, Richard, 2000. "Technological Change and the Environment," Working Paper Series rwp00-002, Harvard University, John F. Kennedy School of Government.
    7. Dang, Jianwei & Motohashi, Kazuyuki, 2015. "Patent statistics: A good indicator for innovation in China? Patent subsidy program impacts on patent quality," China Economic Review, Elsevier, vol. 35(C), pages 137-155.
    8. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    9. Bai, Rui & Lin, Boqiang, 2023. "Nexus between green finance development and green technological innovation: A potential way to achieve the renewable energy transition," Renewable Energy, Elsevier, vol. 218(C).
    10. Timothy J. Bartik, 1991. "Who Benefits from State and Local Economic Development Policies?," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number wbsle.
    11. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    12. Alessandra Bonfiglioli & Rosario Crinò & Harald Fadinger & Gino Gancia, 2024. "Robot Imports and Firm-Level Outcomes," The Economic Journal, Royal Economic Society, vol. 134(664), pages 3428-3444.
    13. 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.
    14. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    15. Ghisetti, Claudia & Quatraro, Francesco, 2013. "Beyond inducement in climate change: Does environmental performance spur environmental technologies? A regional analysis of cross-sectoral differences," Ecological Economics, Elsevier, vol. 96(C), pages 99-113.
    16. Hulten, Charles R, 1992. "Growth Accounting When Technical Change Is Embodied in Capital," American Economic Review, American Economic Association, vol. 82(4), pages 964-980, September.
    17. Han Long & Gen‐Fu Feng & Qiang Gong & Chun‐Ping Chang, 2023. "ESG performance and green innovation: An investigation based on quantile regression," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 5102-5118, November.
    18. Shen, Yongchang & Fu, Yunyun & Song, Malin, 2023. "Does digital transformation make enterprises greener? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1642-1654.
    19. Zahra Nasrollahi & Mohadeseh-sadat Hashemi & Saeed Bameri & Vahid Mohamad Taghvaee, 2020. "Environmental pollution, economic growth, population, industrialization, and technology in weak and strong sustainability: using STIRPAT model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 1105-1122, February.
    20. Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
    21. Zhang, Weike & Zeng, Ming, 2024. "Is artificial intelligence a curse or a blessing for enterprise energy intensity? Evidence from China," Energy Economics, Elsevier, vol. 134(C).
    22. Ariel T. Burstein & Alexander Monge-Naranjo, 2009. "Foreign Know-How, Firm Control, and the Income of Developing Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(1), pages 149-195.
    23. repec:ags:aaea22:335879 is not listed on IDEAS
    24. Paul Goldsmith-Pinkham & Isaac Sorkin & Henry Swift, 2020. "Bartik Instruments: What, When, Why, and How," American Economic Review, American Economic Association, vol. 110(8), pages 2586-2624, August.
    25. 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.
    26. Charles R. Hulten, 1992. "Growth Accounting When Technical Change is Embodied in Capital," NBER Working Papers 3971, National Bureau of Economic Research, Inc.
    27. Claudia Ghisetti & Francesco Quatraro, 2013. "Beyond the Inducement in Climate Change: Do Environmental Performances Spur Enrivornmental Technologies? A Regional Analysis of Cross-Sectoral Differences," Working Papers 2013112, University of Ferrara, Department of Economics.
    28. Liu, Qing & Lu, Ruosi & Lu, Yi & Luong, Tuan Anh, 2021. "Import competition and firm innovation: Evidence from China," Journal of Development Economics, Elsevier, vol. 151(C).
    29. Hu, Guoqiang & Wang, Xiaoqi & Wang, Yu, 2021. "Can the green credit policy stimulate green innovation in heavily polluting enterprises? Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 98(C).
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