IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/6672656.html
   My bibliography  Save this article

Decomposition Analysis of Green Technology Innovation from Green Patents in China

Author

Listed:
  • Aiping Chen
  • Huiying Chen

Abstract

Green technology innovation is essential to promoting not only the construction of ecological civilization but also the fundamental means of achieving sustainable development. Taking research and development (R&D) investment, CO 2 emissions, and other related factors into account, this study constructed an extended logarithmic mean Divisia index (LMDI) decomposition model for the change in the number of green technology patent applications to quantify the contribution of each driving factor based on green patent applications data in China from 2000 to 2017. The results indicated that economic scale, R&D efficiency, R&D reaction, and green patent share play positive roles in promoting green patent applications in China, among which R&D efficiency is the most significant contributor. By contrast, carbon intensity plays a dampening role. The conclusions of this study could provide a theoretical foundation for China to formulate targeted green technology innovation management policies, promotion measures, and related R&D strategies.

Suggested Citation

  • Aiping Chen & Huiying Chen, 2021. "Decomposition Analysis of Green Technology Innovation from Green Patents in China," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-11, May.
    • Handle: RePEc:hin:jnlmpe:6672656
    DOI: 10.1155/2021/6672656
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2021/6672656.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2021/6672656.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2021/6672656?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
    ---><---

    Citations

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


    Cited by:

    1. Xi Zhao & Siqin Zhang & Najid Ahmad & Shuangguo Wang & Jiaxing Zhao, 2024. "Unlocking Sustainable Growth: The Transformative Impact of Green Finance on Industrial Carbon Emissions in China," Sustainability, MDPI, vol. 16(18), pages 1-21, September.
    2. Jingjing Wang & Yuhan Pan & Decai Tang, 2024. "Environmental Protection Tax Reform in China: A Catalyst or a Barrier to Total Factor Productivity? An Analysis through a Quasi-Natural Experiment," Sustainability, MDPI, vol. 16(16), pages 1-20, August.

    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:hin:jnlmpe:6672656. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.