IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v27y2020i1p35-40.html
   My bibliography  Save this article

Measuring the innovation efficiency of the Chinese pharmaceutical industry based on a dynamic network DEA model

Author

Listed:
  • Zhongmin Liu
  • Jia Lyu

Abstract

A dynamic network data envelopment analysis (DEA) model is employed for measuring the innovation efficiency of the Chinese pharmaceutical industry. The results show that the reason for innovation inefficiency in the Chinese pharmaceutical manufacturing industry is the inefficiency of pure technology and scale, but pure technical inefficiency plays the main role. The contribution of knowledge innovation to innovation efficiency in the pharmaceutical industry is greater than that of commercialization.

Suggested Citation

  • Zhongmin Liu & Jia Lyu, 2020. "Measuring the innovation efficiency of the Chinese pharmaceutical industry based on a dynamic network DEA model," Applied Economics Letters, Taylor & Francis Journals, vol. 27(1), pages 35-40, January.
    • Handle: RePEc:taf:apeclt:v:27:y:2020:i:1:p:35-40
    DOI: 10.1080/13504851.2019.1606402
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2019.1606402
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504851.2019.1606402?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. Ioannis E. Tsolas, 2021. "Firm Credit Scoring: A Series Two-Stage DEA Bootstrapped Approach," JRFM, MDPI, vol. 14(5), pages 1-12, May.
    2. Svetlana V. Ratner & Artem M. Shaposhnikov & Andrey V. Lychev, 2023. "Network DEA and Its Applications (2017–2022): A Systematic Literature Review," Mathematics, MDPI, vol. 11(9), pages 1-24, May.
    3. Xueling Guan & Lijiang Chen & Qing Xia & Zhaohui Qin, 2022. "Innovation Efficiency of Chinese Pharmaceutical Manufacturing Industry from the Perspective of Innovation Ecosystem," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    4. Liping Fu & Shan Zhang & Fan Wu, 2022. "The Impact of Compensation Gap on Corporate Innovation: Evidence from China’s Pharmaceutical Industry," IJERPH, MDPI, vol. 19(3), pages 1-14, February.
    5. Atta Mills, Ebenezer Fiifi Emire & Zeng, Kailin & Fangbiao, Liu & Fangyan, Li, 2021. "Modeling innovation efficiency, its micro-level drivers, and its impact on stock returns," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    6. Fang Chen Kao & Minh‐Hieu Le, 2022. "Effects of corporate social responsibility on pharmaceutical multinational enterprises performance: Research and development and business efficiency perspectives," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3419-3434, December.

    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:taf:apeclt:v:27:y:2020:i:1:p:35-40. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.