IDEAS home Printed from https://ideas.repec.org/a/taf/jenpmg/v65y2022i14p2676-2695.html
   My bibliography  Save this article

An application of the planned behavior theory to predict Chinese firms’ environmental innovation

Author

Listed:
  • Zhongju Liao
  • Yan Liu
  • Juanlan Dai
  • Yunyan Li

Abstract

How to drive environmental innovation is the focus of numerous research areas. Based on the theory of planned behavior, this study constructed a driving factor model for environmental innovation. The 2019 annual reports of 116 firms in the steel, coal, chemical, petroleum, building materials and pulp and paper industries were selected as the samples, and the study was conducted using grounded theory. The results showed that firm’s environmental innovation behavior is mainly driven by expected economic benefits, subjective norms, and perceived behavioral control. Expected economic benefits are composed of market development and cost savings. Subjective norms include self-regulation reflecting the green culture of firms, descriptive norms formed by industry competition and environmental protection trends, and injunctive norms formed by government regulations and consumer demand for green products. Perceived behavioral control includes internal resource advantages, constituted by material resources, human resources and financial resources, as well as the external advantages, constituted by social network relationships. This study provides a theoretical basis for how to drive environmental innovation, and also provides a useful reference for the Chinese government to formulate policies to promote environmental innovation.

Suggested Citation

  • Zhongju Liao & Yan Liu & Juanlan Dai & Yunyan Li, 2022. "An application of the planned behavior theory to predict Chinese firms’ environmental innovation," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 65(14), pages 2676-2695, December.
    • Handle: RePEc:taf:jenpmg:v:65:y:2022:i:14:p:2676-2695
    DOI: 10.1080/09640568.2021.1977616
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09640568.2021.1977616
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09640568.2021.1977616?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.

    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:jenpmg:v:65:y:2022:i:14:p:2676-2695. 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/CJEP20 .

    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.