Advances in Economics, Management and Political Sciences

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Proceedings of the 2nd International Conference on Financial Technology and Business Analysis

Series Vol. 69 , 08 January 2024


Open Access | Article

The Existence Phenomenon of Price Discrimination and Suggestions

Yuxi Wu * 1
1 The Affiliated International School of Shenzhen University, Shenzhen, 518000, China

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 69, 34-40
Published 08 January 2024. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Yuxi Wu. The Existence Phenomenon of Price Discrimination and Suggestions. AEMPS (2024) Vol. 69: 34-40. DOI: 10.54254/2754-1169/69/20230943.

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.

Keywords

Sexism, Pink tax, Big data kills

References

1. W. Tang, (2022) Consumption Status Analysis of Rural Residents in Anhui Province Based on ELES Model. China Journal of Commerce, Issue 27 , 2022 : 64-66

2. Y. Ling, X. Yang, (2023) The Dilemmas of Legal Regulation of Algorithmic Price Discrimination in Big Data’s Commercial Applications and Its Paths. China Journal of Commerce, Issue 11, 2023: 47-50.

3. China Consumer News, (2022) Beijing Consumer Association released big data "kill cooked" survey report some platform new and old users shopping with different prices. https://page.om.qq.com/page/OdL3Wuznl8PogIvGH6Cajtrg0?source=cp_1009.

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6. K. Zhang, (2004) An Analysis of Gender Discrimination Behavior in Labor Market. Research On Financial and Economic Issues, Issue 4, 2004: 74-80

7. Y. Hu, (2021) The girl trapped in the Pink tax. In and out of the classroom: High School Edition (A edition), 12: 10-11

8. Shanghai Observer, (2023) The same type of the same quality of different prices, female consumers are harvested "pink tax"?. https://export.shobserver.com/baijiahao/html/624017.html.

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10. Integrated China Science, technology net Phoenix net. (2018) Big data kill familiar: the people who know you best hurt you the most. Today Science & Technology, Issue 3: 27-27

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
ISBN (Print)
978-1-83558-269-5
ISBN (Online)
978-1-83558-270-1
Published Date
08 January 2024
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/69/20230943
Copyright
08 January 2024
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated