Research on Tripartite Evolutionary Game and Simulation of Agricultural Product Quality Under F2C Model
JIANG Nan
ZHANG Jing-wei
LI Hu-feng
LAI Qi-fu
Abstract：[Objective/Meaning]The e-commerce model represented by F2C has been continuously expanded to the agricultural field,which has improved the quality of agricultural products to a certain extent.However,the ranking mechanism of"product quality signal+bidding amount"and the"winner-take-all"model may lead to speculation and low quality risks,affecting the quality security of agricultural products.By analyzing the conditions and equilibrium state of the supply of high-quality agricultural products among the e-commerce platform,farmers and consumers,it aimed to give more targeted suggestions to help improve the quality and sales of agricultural products.[Methods/Procedures]In this paper,Python was used to carry out the simulation experiments and numerical simulations,and then the tripartite evolutionary game model of e-commerce platform,peasant households and consumers was constructed to analyze the influence of the initial willingness of each subject and different factors on the choice of tripartite strategies.[Results/Conclusions]The initial willingness of the e-commerce platform and peasant households would have an important impact on the final result of the evolutionary game;the increase in the probability of investigation and punishment of e-commerce platform could play a good deterrent role for farmers and promote the evolutionary game to approach the ideal state faster;the consumer behavior was difficult to affect the convergence direction of the evolutionary game,and could only passively accept the product information provided by the e-commerce platform and farmers.Based on this,some countermeasures were put forward,including establishing a variety of incentive mechanisms,improving the inspection efficiency and reducing the costs,implementing the necessary constraint measures,and establishing the feedback mechanism of consumers.
Keywords：F2Cquality of agricultural productsrural e-commerceevolutionary gamemodeling and simulation
Publication Date：2024-12-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：13( 38-50 )