Research On The Optimization Of Credit Supervision Strategy Of Cross-border E-commerce Enterprises

The expansion of cross-border e-commerce not only brings new development opportunities to small and medium-sized enterprises,but also puts forward new requirements for customs supervision.With the booming development of cross-border e-commerce,the secrecy of cross-border business transactions and the inconsistency of tariffs among different countries make enterprises’ trust-breaking behaviors frequent.In the context of the deepening reform of "delegating power,delegating power and serving",the customs needs to innovate the existing supervision methods,and the credit supervision of cross-border e-commerce enterprises is unstoppable.At present,the credit supervision of cross-border e-commerce mainly involves pre-filing and approval,"double random,one public" random inspection during the event,and then classified reward or punishment after the event.Existing credit supervision policies can reduce corporate violations to a certain extent,but cannot prevent corporate speculation,which shows that the existing customs lack targeted policies for cross-border e-commerce credit supervision.Therefore,according to the current situation of credit supervision,this paper uses limited supervision resources to optimize policies for cross-border e-commerce credit supervision.First,this paper proposes the main research direction of this paper by studying the current situation of cross-border e-commerce supervision and credit supervision.By consulting relevant literature,the concept definition of cross-border e-commerce and credit supervision to be studied in this paper is given.Secondly,based on the complex network evolutionary game theory and the new public management theory,and based on the existing credit supervision process,it analyzes the influencing factors in the credit supervision process.Thirdly,an evolutionary game network model is established that takes into account the sampling inspection of customs and is mainly based on cross-border e-commerce enterprises and customs.Through the analysis of stable points,three sampling inspection schemes are proposed.Finally,based on the credit supervision network model established earlier,this paper conducts a simulation analysis.First,it analyzes the impact of dynamic and static sampling strategies on the integrity willingness of enterprises and the income of the main body.Then,it analyzes the impact of the credit level of enterprises in the initial network on customs supervision.Finally,the sampling inspection is carried out.The impact of penalties,credit incentives,and noise environment on regulation.The study found that:(1)For the comprehensive consideration of the main body’s income and the probability of enterprises choosing integrity,the sampling effect is as follows: increasing the sampling probability of dishonest enterprises in stages > linearly increasing the sampling probability of dishonest enterprises > fixing the sampling probability of dishonest enterprises.(2)When the number of honest enterprises in the network is large,a fixed sampling inspection strategy should be adopted.When the number of honest enterprises in the network is normal,the sampling probability should be increased linearly.When the number of honest enterprises in the network is small,a strategy of increasing the sampling probability in stages should be adopted.(3)Sampling punishment has a positive incentive effect on customs supervision,but there is a threshold.The larger the credit incentive for enterprises,the better.In the long run,more attention should be paid to credit incentives rather than sampling punishment;environmental noise has a negative effect on supervision.Finally,based on the simulation results,this paper puts forward relevant policy suggestions and prospects.To sum up,this paper analyzes the problem of "how to supervise,dynamically adjust,and optimize strategy".The research in this paper provides a theoretical basis for the formulation of cross-border e-commerce credit supervision policies.At the same time,the analysis of the impact mechanism between various strategies will help the customs to grasp the development law of cross-border e-commerce as a whole.