Issue |
SHS Web Conf.
Volume 220, 2025
2025 2nd International Conference on Language Research and Communication (ICLRC 2025)
|
|
---|---|---|
Article Number | 03019 | |
Number of page(s) | 7 | |
Section | Cultural Communication, Brand Marketing, and Media Strategies | |
DOI | https://doi.org/10.1051/shsconf/202522003019 | |
Published online | 13 August 2025 |
Research on the Causes and Countermeasures of the Pink Tax Phenomenon in the Context of Big Data
The Experimental High School Attached to Beijing Normal University, Beijing, China
* Corresponding author: yaowentao@stu.njmu.edu.cn
Although gender-based price discrimination (“Pink Tax”) has gained significant attention, existing research lacks a thorough exploration of the underlying mechanisms driving this phenomenon, particularly from the perspective of informational gaps. This paper, taking cosmetics, fashion, and healthcare industries as examples, has analyzed gender-based pricing discrimination along with its economic and social impacts. The analysis reveals that gender socialization creates information gaps and consumption preference differences, leading enterprises to exploit women’s sensitivity to emotional value through price discrimination. At the same time, this paper emphasizes the importance of advertisement and social media when it comes to communication, especially promoting and reflecting gender socialization and stereotypes. Through all mentioned above, information gaps between genders are Accordingly, this paper proposes three recommendations: reshaping gender role perceptions through media, improving anti-price discrimination legal frameworks, and guiding consumers to distinguish between functional and emotional purchasing behaviors, all aiming to reduce gender-based pricing disparities and promote fairer market practices.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.