Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)

Application and Analysis of Price Discrimination in China’s E-commerce based on Big Data Analysis

Authors
Yutong Wang1, *
1Macquarie university, Sydney, new south wales, Australia, 201101
*Corresponding author. Email: Yutong.wang1@students.mq.edu.au
Corresponding Author
Yutong Wang
Available Online 26 March 2022.
DOI
10.2991/aebmr.k.220307.276How to use a DOI?
Keywords
Big data analysis; e-commerce; price discrimination
Abstract

Taking China’s e-commerce industry as the background, this paper provides new insights into price discrimination with Chinese characteristics based on big data analysis and its application. China’s e-commerce industry is in a leading position in the world and its development is extremely mature. Big data is the key technology to support industrial development. Based on this background, the concept of price discrimination combined with big data applications also has new practical applications. This paper uses induction and investigation methods to explain big data discriminatory pricing. Finally, this paper draws a conclusion that price discrimination based on big data technology is beneficial to the market and consumers.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
26 March 2022
ISBN
10.2991/aebmr.k.220307.276
ISSN
2352-5428
DOI
10.2991/aebmr.k.220307.276How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yutong Wang
PY  - 2022
DA  - 2022/03/26
TI  - Application and Analysis of Price Discrimination in China’s E-commerce based on Big Data Analysis
BT  - Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)
PB  - Atlantis Press
SP  - 1690
EP  - 1693
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220307.276
DO  - 10.2991/aebmr.k.220307.276
ID  - Wang2022
ER  -