Analysis of e-Commerce Characteristics Based on Edge Algorithm and COX Model

Abstract

With the rapid development of C2C (consumer to consumer) e-commerce transactions in China, the problem of information asymmetry in C2C e-commerce transactions is becoming more and more obvious. This paper analyzes the specific performance and influence of information asymmetry in C2C e-commerce transactions and then proposes a strategy to eliminate information asymmetry in C2C e-commerce transactions. Based on the perspective of information asymmetry, C2C e-commerce is taken as the research object, and the research methods such as literature analysis method, qualitative analysis method, and case analysis method are comprehensively used to explore the C2C e-commerce supervision problem in China under the information asymmetry environment. The reason and countermeasures. Secondly, it analyzes the e-commerce government supervision theory in detail and studies the definition, content, and principle of e-commerce government supervision, the necessity of e-commerce government supervision, and the main forms of e-commerce government supervision in China. The status of China’s e-commerce supervision is elaborated, including the question of “who is going to supervise,” “who is supervising,” and “how to supervise.” Aiming at the problems of imperfect legal system in China’s e-commerce supervision, lack of cross-departmental coordination mechanism, and difficulty in investigation and evidence collection of e-commerce illegal behavior, we put forward targeted and operational policy recommendations.