IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i7p3140-d1626373.html
   My bibliography  Save this article

Efficiency Measurement and Trend Analysis of the Hydrogen Energy Industry Chain in China

Author

Listed:
  • Pengcheng Zhang

    (School of Economics, Management, and Law, Shandong Institute of Petroleum and Chemical Technology, Dongying 257000, China
    School of Economics and Management, China University of Petroleum (East China), Dongying 257099, China)

  • Boliang Lu

    (School of Economics, Management, and Law, Shandong Institute of Petroleum and Chemical Technology, Dongying 257000, China)

  • Yijie Qu

    (School of Economics, Management, and Law, Shandong Institute of Petroleum and Chemical Technology, Dongying 257000, China)

  • Haslindar Ibrahim

    (School of Management, Universiti Sains Malaysia, Gelugor 118000, Malaysia)

  • Hao Ding

    (School of Economics and Management, China University of Petroleum (East China), Dongying 257099, China)

Abstract

Hydrogen energy, characterized by its abundant resources, green and low-carbon attributes, and wide-ranging applications, is a critical energy source for achieving carbon peaking and carbon neutrality goals. The operational efficiency of the hydrogen energy industrial chain is pivotal in determining the security of its supply chain and its contribution to China’s energy transition. This study investigates the efficiency of China’s hydrogen energy industrial chain by selecting 30 listed companies primarily engaged in hydrogen energy as the research sample. A three-stage data envelopment analysis (DEA) model is applied to assess the industry’s comprehensive technical efficiency, pure technical efficiency, and scale efficiency. Additionally, kernel density estimation is utilized to analyze efficiency trends over time. Key factors influencing efficiency are identified, and targeted recommendations are provided to enhance the performance and sustainability of the hydrogen energy industrial chain. These findings offer valuable insights to support the development and resilience of China’s hydrogen energy industry.

Suggested Citation

  • Pengcheng Zhang & Boliang Lu & Yijie Qu & Haslindar Ibrahim & Hao Ding, 2025. "Efficiency Measurement and Trend Analysis of the Hydrogen Energy Industry Chain in China," Sustainability, MDPI, vol. 17(7), pages 1-28, April.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:7:p:3140-:d:1626373
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/7/3140/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/7/3140/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:17:y:2025:i:7:p:3140-:d:1626373. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.