IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v201y2024ics0040162524000106.html
   My bibliography  Save this article

Internet technology adoption and firm energy efficiency: Evidence from China

Author

Listed:
  • Zhang, Yu
  • Hu, Shan
  • Chen, Lingqiao

Abstract

Combining the Chinese industrial enterprise database and the green development database, we examine the effect of internet technology adoption on energy efficiency. The results show that the internet is positively associated with firm energy efficiency. This causal nexus is valid after a series of robustness checks. Mechanism tests suggest that internet technology adoption affects energy efficiency mainly through advancing technological innovation, attenuating financing constraints, and correcting resource misallocation. The stimulus effect is bigger for non-state-owned enterprises, non-exporting firms, technology-intensive industries, and firms located in southern China. Ulteriorly, the internet can significantly magnify the inhibitory effect of energy efficiency on pollutant emission.

Suggested Citation

  • Zhang, Yu & Hu, Shan & Chen, Lingqiao, 2024. "Internet technology adoption and firm energy efficiency: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 201(C).
  • Handle: RePEc:eee:tefoso:v:201:y:2024:i:c:s0040162524000106
    DOI: 10.1016/j.techfore.2024.123214
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162524000106
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2024.123214?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lin, Boqiang & Xu, Chongchong, 2024. "The effects of industrial robots on firm energy intensity: From the perspective of technological innovation and electrification," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    2. Da Gao & Xiaotian Zhou & Xiaowei Liu, 2024. "The Bright Side of Uncertainty: The Impact of Climate Policy Uncertainty on Urban Green Total Factor Energy Efficiency," Energies, MDPI, vol. 17(12), pages 1-15, June.
    3. Wang, Jie & Wang, Jun, 2024. "“Booster” or “Obstacle”: Can digital transformation improve energy efficiency? Firm-level evidence from China," Energy, Elsevier, vol. 296(C).

    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:eee:tefoso:v:201:y:2024:i:c:s0040162524000106. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.