| Using the theory of game theory and transaction cost,this paper adopts the methods of inductive deduction,investigation and research,and takes Pudong New Area as an example to carry out an in-depth study on the transformation of Shanghai market supervision model in the era ofbig data.This paper argues that big data has a profound impact on market supervision.In order to adapt to the needs of the reform,the Pudong N ew Area in comprehensive market regulation system reform,set up big data market supervision model,specifically is to use big data thinking,to set up the enterprise credit supervision system,by strengthening the application of information sharing and re gulation of big data platform to perfect mechanism of coordinated management between government departments,the use of data monitoring informatization intelligent regulation.The reform measures for raising the precision of regulatory enforcement,reduces the supervision cost and social cost,formed the original credit regulation,to deepen the idea "cooperate" regulation.But the big data market supervision model of Pudong New Area also exist the following problems: a single data source,the "double random" spot check is not strong,the risk of big data predictions failed to give full play to the function,across departments informationization work platform compatibility is poor.There are four reasons for the above problems: first,the big data supervision concept has not yet been popularized,the second is the market entity credit system is not sound,the third barrier is data collection and sharing,and the forth is the lack of talents and products in the field of big data.The U.S.government has had a more successful practice of big data supervision.Therefore,draw lessons from the beneficial experience,combining the reality of Shanghai,and puts forward the countermeasures for the successful transformation of the Shanghai market supervision mode in the big data era.First,establish a unified big data sharing platform for market supervision in the city;Second,establish a big data credit rating mechanism;Third,reform and perfect the “dual random” sampling system;Fourthly,strengthen data application and realize refined supervision;Fifth,strengthen the construction of the government’s big data talent echelon. |
