Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

Rural E-commerce Income Distribution Model Based on Big Data Analysis

Authors
Yujia Yang1, Jingjing Zhang1, *, Hong Wang1, Lin Li1, Yang Chao2
1Dalian University of Science and Technology, Dalian, China
2Line China, Dalian, China
*Corresponding author. Email: jiattkx@126.com
Corresponding Author
Jingjing Zhang
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_174How to use a DOI?
Keywords
Rural e-commerce; Big data; Income model; Distribution model; Competition strategy
Abstract

With the rapid development of the platform economy, the platform model has been gradually integrated into the industrialization of agriculture, and a variety of agricultural e-commerce platforms have emerged as the times require. The significance of studying the competition strategy of agricultural supply chain e-commerce platforms is to improve the market competitiveness of agricultural supply chain e-commerce platforms and to avoid the monopoly of the agricultural market. Improving the competitiveness of the platform can also promote the prosperity and development of the two-way circulation of the agricultural products supply chain, realize economies of scale and reduce production and transaction costs. In this paper, the e-commerce revenue distribution model is expanded by incorporating network externalities and user base utility. The competition model of e-commerce platforms in the agricultural supply chain is constructed by considering the different attribution situations of users and platforms. Given the sale of agricultural products and the return of agricultural materials, this paper analyzes the impact of platform differentiation and user network externality strength on the platform competition strategy by combining with the competition model and puts forward the corresponding strategy suggestions to make the supply chain e-commerce platform of agricultural products develop healthily and orderly.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
978-94-6463-042-8
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_174How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yujia Yang
AU  - Jingjing Zhang
AU  - Hong Wang
AU  - Lin Li
AU  - Yang Chao
PY  - 2022
DA  - 2022/12/29
TI  - Rural E-commerce Income Distribution Model Based on Big Data Analysis
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 1221
EP  - 1226
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_174
DO  - 10.2991/978-94-6463-042-8_174
ID  - Yang2022
ER  -