IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0284452.html
   My bibliography  Save this article

Do smart services promote sustainable green transformation? Evidence from Chinese listed manufacturing enterprises

Author

Listed:
  • Yan Chen
  • Bin Xu
  • Yuqi Hou

Abstract

Smart services are expected to solve the dilemma of development and emission reduction, but there is still no conclusive evidence on whether and how they work. This article aims to explore the relationship between smart services and sustainable green transformation and the effect mechanism. To achieve this goal, a text mining analysis is performed to assess 970 Chinese listed manufacturing enterprises’ smart services development; a regression analysis is then conducted. The results show that smart services have a significant positive impact on the quality and quantity of green innovation, especially for heavily polluting enterprises. The substitution of technology and labor for capital, as well as the upgrading of human resource quality, are effective mechanisms. Smart services can assist as a management strategic tool to balance environmental protection and development, but such an effect fails to work in areas not covered by new infrastructure and is weaker for private enterprises.

Suggested Citation

  • Yan Chen & Bin Xu & Yuqi Hou, 2023. "Do smart services promote sustainable green transformation? Evidence from Chinese listed manufacturing enterprises," PLOS ONE, Public Library of Science, vol. 18(4), pages 1-24, April.
  • Handle: RePEc:plo:pone00:0284452
    DOI: 10.1371/journal.pone.0284452
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0284452
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0284452&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0284452?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Jahanger, Atif & Yu, Yang & Hossain, Mohammad Razib & Murshed, Muntasir & Balsalobre-Lorente, Daniel & Khan, Uzma, 2022. "Going away or going green in NAFTA nations? Linking natural resources, energy utilization, and environmental sustainability through the lens of the EKC hypothesis," Resources Policy, Elsevier, vol. 79(C).
    3. Guo, Qingbin & Wang, Yong & Dong, Xiaobin, 2022. "Effects of smart city construction on energy saving and CO2 emission reduction: Evidence from China," Applied Energy, Elsevier, vol. 313(C).
    4. Vishal V. Agrawal & Ioannis Bellos, 2017. "The Potential of Servicizing as a Green Business Model," Management Science, INFORMS, vol. 63(5), pages 1545-1562, May.
    5. Merlina Missimer & Patricia Lagun Mesquita, 2022. "Social Sustainability in Business Organizations: A Research Agenda," Sustainability, MDPI, vol. 14(5), pages 1-13, February.
    6. El-Kassar, Abdul-Nasser & Singh, Sanjay Kumar, 2019. "Green innovation and organizational performance: The influence of big data and the moderating role of management commitment and HR practices," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 483-498.
    7. David J. Langley, 2022. "Digital Product-Service Systems: The Role of Data in the Transition to Servitization Business Models," Sustainability, MDPI, vol. 14(3), pages 1-17, January.
    8. James Bessen, 2019. "Automation and jobs: when technology boosts employment," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 589-626.
    9. Haarstad, Håvard & Wathne, Marikken W., 2019. "Are smart city projects catalyzing urban energy sustainability?," Energy Policy, Elsevier, vol. 129(C), pages 918-925.
    10. Sea-Jin Chang & Chi-Nien Chung & Ishtiaq P. Mahmood, 2006. "When and How Does Business Group Affiliation Promote Firm Innovation? A Tale of Two Emerging Economies," Organization Science, INFORMS, vol. 17(5), pages 637-656, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hanna Li & Yu Chen, 2025. "Does Artificial Intelligence Promote Firms’ Green Technological Innovation?," Sustainability, MDPI, vol. 17(11), pages 1-24, May.
    2. Chenhui Ding & Xiaoming Song & Yingchun Xing & Yuxuan Wang, 2023. "Bilateral Effects of the Digital Economy on Manufacturing Employment: Substitution Effect or Creation Effect?," Sustainability, MDPI, vol. 15(19), pages 1-22, October.
    3. Kerstin Hötte & Angelos Theodorakopoulos & Pantelis Koutroumpis, 2024. "Automation and taxation," Oxford Economic Papers, Oxford University Press, vol. 76(4), pages 945-969.
    4. Wang, Linhui & Chen, Qi & Dong, Zhiqing & Cheng, Lu, 2024. "The role of industrial intelligence in peaking carbon emissions in China," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    5. 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).
    6. Borsato, Andrea & Lorentz, André, 2023. "The Kaldor–Verdoorn law at the age of robots and AI," Research Policy, Elsevier, vol. 52(10).
    7. Roberto Antonietti & Luca Cattani & Francesca Gambarotto & Giulio Pedrini, 2021. "Education, routine, and complexity-biased Knowledge Enabling Technologies: Evidence from Emilia-Romagna, Italy," Discussion Paper series in Regional Science & Economic Geography 2021-07, Gran Sasso Science Institute, Social Sciences, revised May 2021.
    8. Haonan Wang & Fangjuan Qiu, 2025. "AI adoption and labor cost stickiness: based on natural language and machine learning," Information Technology and Management, Springer, vol. 26(2), pages 163-184, June.
    9. Qianqian Guo & Zhifang Su, 2023. "The Application of Industrial Robot and the High-Quality Development of Manufacturing Industry: From a Sustainability Perspective," Sustainability, MDPI, vol. 15(16), pages 1-26, August.
    10. Haapanala, Henri & Marx, Ive & Parolin, Zachary, 2022. "Robots and Unions: The Moderating Effect of Organised Labour on Technological Unemployment," IZA Discussion Papers 15080, Institute of Labor Economics (IZA).
    11. Ofori, Pamela E. & Ofori, Isaac K., 2024. "The Impact of Frontier Technology Adoption on Gender Inequality: Evidence from Africa," MPRA Paper 121245, University Library of Munich, Germany.
    12. Cao, Yuqiang & Hu, Yong & Liu, Qian & Lu, Meiting & Shan, Yaowen, 2023. "Job creation or disruption? Unraveling the effects of smart city construction on corporate employment in China," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    13. Benjamin Meindl & Morgan R. Frank & Joana Mendonc{c}a, 2021. "Exposure of occupations to technologies of the fourth industrial revolution," Papers 2110.13317, arXiv.org.
    14. Hang, Leiming & Lu, Wei & Ge, Xiaowei & Ye, Bin & Zhao, Zhiqi & Cheng, Fangfang, 2024. "R&D innovation, industrial evolution and the labor skill structure in China manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    15. Xin, Baogui & Ye, Xiaopu, 2024. "Robotics applications, inclusive employment and income disparity," Technology in Society, Elsevier, vol. 78(C).
    16. Fabien Petit & Florencia Jaccoud & Tommaso Ciarli, 2023. "Heterogeneous Adjustments of Labor Markets to Automation Technologies," CESifo Working Paper Series 10237, CESifo.
    17. Heyman, Fredrik & Norbäck, Pehr-Johan & Persson, Lars, 2021. "Automation, Work and Productivity: The Role of Firm Heterogeneity," Working Paper Series 1382, Research Institute of Industrial Economics, revised 09 Mar 2023.
    18. Aniruddh Mohan & Parth Vaishnav, 2022. "Impact of automation on long haul trucking operator-hours in the United States," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    19. Huang, Ruting & Yao, Xin, 2023. "The role of power transmission infrastructure in income inequality: Fresh evidence from China," Energy Policy, Elsevier, vol. 177(C).
    20. Lingdi Zhao & Shuo Zhang, 2025. "Employment Effects of Technological Progress in U.S. Healthcare: Evidence from Listed Companies," Sustainability, MDPI, vol. 17(11), pages 1-25, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0284452. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.