IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v26y2024i3d10.1007_s10668-023-02970-2.html
   My bibliography  Save this article

Promoting green development of agriculture based on low-carbon policies and green preferences: an evolutionary game analysis

Author

Listed:
  • Jianli Luo

    (Wenzhou University)

  • Minmin Huang

    (Wenzhou University)

  • Yanhu Bai

    (Wenzhou University)

Abstract

Facilitating agro-food green planting and consumption is an effective way to reduce carbon emissions and achieve sustainability in global agriculture. Although many researchers have explored and analyzed this issue, there remains a gap between stakeholders of green agricultural development combined with low-carbon policies and green preferences that have been overlooked. To bridge this gap, a three-party evolutionary game model consisting of farmers, governments, and consumers is developed based on the government’s low-carbon policies and stakeholders’ green preferences. The six key parameters based on low-carbon policies and green preferences influencing strategic behavior are thoroughly discussed using numerical simulations. The findings reveal the following: (1) Appropriate subsidies policy and relatively high carbon prices are conducive to promoting agro-food green planting. (2) The three parties’ green preferences improve people’s low-carbon awareness in the market. (3) When the governments’ green preference coefficient is less than 1, they will choose positive regulation and enhance farmers’ and consumers’ green preferences through publicity and education. As farmers’ and consumers’ green preferences increase to a certain high level, governments choosing negative regulation can also reach an advanced evolutionary stable strategy. The results provide theoretical and practical guidance for the green development of agriculture, help governments formulate scientific low-carbon policies, and provide referential significance for improving the green preference of farmers and consumers.

Suggested Citation

  • Jianli Luo & Minmin Huang & Yanhu Bai, 2024. "Promoting green development of agriculture based on low-carbon policies and green preferences: an evolutionary game analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(3), pages 6443-6470, March.
  • Handle: RePEc:spr:endesu:v:26:y:2024:i:3:d:10.1007_s10668-023-02970-2
    DOI: 10.1007/s10668-023-02970-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-023-02970-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10668-023-02970-2?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:spr:endesu:v:26:y:2024:i:3:d:10.1007_s10668-023-02970-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.