IDEAS home Printed from https://ideas.repec.org/a/igg/jisscm/v13y2020i1p73-97.html
   My bibliography  Save this article

The Evolutionary Analysis of Agricultural Production Transaction Under The Price Subsidy Policy

Author

Listed:
  • Jianhua Huang

    (Fuzhou University, Fuzhou, China)

  • YanDang Chen

    (Fuzhou University, Fuzhou, China)

  • Shan He

    (Southwest Jiaotong University, Chengdu, China)

Abstract

The scattered and small-scale production mode together with asymmetric business information results in the Chinese peasants' weak position in the agricultural supply chain. Chinese government has implemented some effective measures to safeguard the peasants' benefits. By establishing a tripartite evolutionary game model among the peasants, agricultural products dealers and government under the policy of price subsidy, the effects of social benefits, the size of the penalty and the transaction volume on the evolutionary stable strategy is discussed. A simulation instance is also given to demonstrate the evolutionary game model. The results shows that the probability of government regulation is not only related to the social benefits of regulation, but also affected by the transaction volume of agricultural products, the peasants benefits can be protected effectively by the price subsidy policy and the probability of the agricultural products dealers choosing fraud strategy declines with the increase of penalty and increases with the transaction volume of agricultural products.

Suggested Citation

  • Jianhua Huang & YanDang Chen & Shan He, 2020. "The Evolutionary Analysis of Agricultural Production Transaction Under The Price Subsidy Policy," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 13(1), pages 73-97, January.
  • Handle: RePEc:igg:jisscm:v:13:y:2020:i:1:p:73-97
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISSCM.2020010104
    Download Restriction: no
    ---><---

    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:igg:jisscm:v:13:y:2020:i:1:p:73-97. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.