The Existence Phenomenon of Price Discrimination and Suggestions

Abstract

This paper analyzes the emergence, phenomenon and solution of price discrimination driven by The Times. This paper will analyze the two main categories of price discrimination: gender discrimination and big data killing. Among them, gender discrimination covers the discrimination suffered by women in the labor market and the pink tax, and big data killing includes price discrimination against consumers by taxi apps and housing apps. The purpose of this study is to draw out the problems of price discrimination, let the market pay attention to the problem and protect the rights and interests of consumers. The analysis found that women are often discriminated against based on gender in the workplace, and women pay a much higher price than men in the "pink tax" over their lifetime. At the same time, taxi-hailing software and housing software will take advantage of consumers' ignorance to discriminate in price according to their own conditions. It is hoped that the analysis of this paper can warn consumers of price discrimination, and attract the attention of authorities to protect the interests of the public. The article not only combines the survey of different audience groups, but also covers the results of experiments on the same subject and the experiences of people. According to the analysis, this paper suggests that consumers pay more attention to the market of goods before consumption and compare the prices of different platforms. The regulatory authorities can collect more public suggestions and check the price discrepancy, and target the crackdown.