Proceedings of the 2024 4th International Conference on Business Administration and Data Science (BADS 2024)

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Analysis of the China-Central Asia Cooperation Based on a Multi-Factor Matrix and EW-TOPSIS Model

Authors
Wenwen Jiao1, *, Bowen Zhang2
1Research Institute of Highway Ministry of Transport, Beijing, China
2Liaoning Transportation Development Center, Shenyang, China
*Corresponding author. Email: ww.jiao@rioh.cn
Corresponding Author
Wenwen Jiao
Available Online 26 December 2024.
DOI
10.2991/978-94-6463-632-1_10How to use a DOI?
Keywords
Central Asia; Cooperation analysis; Multi-factor matrix; EW-TOPSIS model
Abstract

Central Asia, with its unique geographical location serving as a bridge between Europe and Asia, plays a prominent role in facilitating connections. In order to enhance trade exchanges, economic integration, and regional coordinated development between China and Central Asia, as well as on a broader scale, this paper proposes a comprehensive analysis matrix incorporating multiple factors and constructs an EW-TOPSIS (Entropy Weight - Technique for Order Preference by Similarity to an Ideal Solution) evaluation model to conduct a systematic analysis of the competitiveness of cooperation between major powers and the five Central Asian countries across various dimensions. By objectively determining the weights of various factors through the entropy weight method, and then applying the TOPSIS model to calculate the competitiveness index of cooperation between each country and Central Asia, the research reveals that China performs prominently in multiple evaluation dimensions. This study provides theoretical support for promoting the construction of a closer China-Central Asia community with a shared future.

Copyright
© 2024 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 2024 4th International Conference on Business Administration and Data Science (BADS 2024)
Series
Advances in Computer Science Research
Publication Date
26 December 2024
ISBN
978-94-6463-632-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-632-1_10How to use a DOI?
Copyright
© 2024 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

risenwbib
TY  - CONF
AU  - Wenwen Jiao
AU  - Bowen Zhang
PY  - 2024
DA  - 2024/12/26
TI  - Analysis of the China-Central Asia Cooperation Based on a Multi-Factor Matrix and EW-TOPSIS Model
BT  - Proceedings of the 2024 4th International Conference on Business Administration and Data Science (BADS 2024)
PB  - Atlantis Press
SP  - 91
EP  - 99
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-632-1_10
DO  - 10.2991/978-94-6463-632-1_10
ID  - Jiao2024
ER  -