IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v84y2024icp1636-1651.html
   My bibliography  Save this article

Research on the contribution of technological innovation efficiency and internal structure optimization of charging pile industry: A case study of China

Author

Listed:
  • Li, Shanwei
  • Li, Jingjie

Abstract

In the context of resource scarcity and environmental protection, the new energy industry has garnered significant attention from various sectors. The charging pile (CP) industry, a crucial component of the new energy vehicle (NEV) industry's supply chain, requires improvements in both quantity and quality. This study examined the technological innovation efficiency (TIE) of the CP industry, considering two levels: pure technical efficiency (PTE) and scale efficiency (SE), and explored methods to optimize its internal structure. By combining the grey correlation analysis (GCA) method with the generalized data envelopment analysis (GDEA) model, a reliable evaluation indicator system was established. Empirical findings revealed that the PTE of technological innovation in the CP industry exhibited an upward trend from 2019 to 2022, achieving a GDEA-effective state. However, the SE of technological innovation shows a downward trend, indicating non-GDEA effectiveness. The contribution of CP companies to the PTE of technological innovation has shown a persistent and accelerating decline, while their contribution to SE, once negative, gradually shifts toward a positive influence. Consequently, the internal technological innovation structure of the CP industry necessitates optimization and adjustment to attain balance. This study provides recommendations from the perspectives of both the government and companies.

Suggested Citation

  • Li, Shanwei & Li, Jingjie, 2024. "Research on the contribution of technological innovation efficiency and internal structure optimization of charging pile industry: A case study of China," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 1636-1651.
  • Handle: RePEc:eee:ecanpo:v:84:y:2024:i:c:p:1636-1651
    DOI: 10.1016/j.eap.2024.10.038
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0313592624002935
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eap.2024.10.038?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.

    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:ecanpo:v:84:y:2024:i:c:p:1636-1651. 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.journals.elsevier.com/economic-analysis-and-policy .

    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.