| The phenomenon of "free riding" exists widely in various fields of social life,such as environmental protection,charity and infrastructure construction.This kind of behavior may reduce social efficiency and bring negative social influence.To improve social efficiency,this paper has done the following two aspects of work.First of all,the phenomenon of "free riding" is described by using the boxed pig game.Three improved mechanisms were designed and simulated experiments were carried out using reinforcement learning.From the perspective of mechanism design,three different game mechanisms of boxed pig are constructed(a.No physical cost,b.Button on the same side as the trough,c.There is a storage container).The equilibrium and the avoidance of "free riding" under different mechanisms are analyzed theoretically.The Q-learning algorithm in reinforcement learning is used to simulate game experiments.The results show that mechanism a can completely avoid pig free-riding;mechanism b cannot prevent pig free-riding;and mechanism c reduces the possibility of pig free-riding by 70%.Then,the fresh agricultural products market as the application background.Carbon emission game model is constructed based on the boxed pig game.Discuss the influence of government carbon tax policy and low carbon subsidy policy on carbon emission game.An example is given to analyze the effectiveness of the policy.The results show that the carbon tax policy increases the number of emission reductions by five times for the weaker producers,but decreases the overall market efficiency by 15 percent.Lowcarbon subsidies have a positive effect on the emission reduction strategies of producers.When the subsidy is 3 times of the cost saved by emission reduction,the manufacturers are all active in "emission reduction",and the overall efficiency of the market is maintained at a high level.The research and simulation expand the research field and application scenarios of the boxed pig game.And it provides reference for policy making of carbon emission. |
