Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)

Research on Entropy-Weighting TOPSIS Method Basedon Shanghai Digital Economy Index System

Authors
Juanjuan Qi1, Wei Li1, *, Xiaofang Li1, Ling Yuan2
1School of Management, Suzhou University, Suzhou, Anhui, China
2School of Mathematics and Statistics, Suzhou University, Suzhou, Anhui, China
*Corresponding author. Email: wli04306@163.com
Corresponding Author
Wei Li
Available Online 30 December 2022.
DOI
10.2991/978-94-6463-108-1_73How to use a DOI?
Keywords
Digital:economy; Entropy method; TOPSIS method; Relative pros and cons.
Abstract

As the new engine of high-quality economic development in China and even the world, digital economy has become the core driving force of economic growth in recent years. This is not only the key area of the new round of industrial reform, but also a major issue related to the long-term stability of the country. Therefore, the status of digital economy in national economies of various countries is constantly improving, and the goal of building a digital power is also put on the agenda of our country. Among them, from the perspective of national digital economy development, Shanghai's digital economy development is particularly prominent. Throughout the country, Shanghai is far ahead in the development of digital industry, big data and e-commerce economy. Therefore, the research object of this paper takes Shanghai as the representative and focuses on the development of digital economy in Shanghai, trying to analyze the present situation and benefits of digital economy development in Shanghai, and put forward corresponding conclusions and suggestions according to the data analysis. Digital economy is a new driving force to promote the transformation and upgrading of manufacturing industry. Exploring the influence mechanism of digital economy on manufacturing service will help to promotethe high-quality development of manufacturing industry.

Copyright
© 2022 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 Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
Series
Advances in Computer Science Research
Publication Date
30 December 2022
ISBN
978-94-6463-108-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-108-1_73How to use a DOI?
Copyright
© 2022 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  - Juanjuan Qi
AU  - Wei Li
AU  - Xiaofang Li
AU  - Ling Yuan
PY  - 2022
DA  - 2022/12/30
TI  - Research on Entropy-Weighting TOPSIS Method Basedon Shanghai Digital Economy Index System
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 656
EP  - 662
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_73
DO  - 10.2991/978-94-6463-108-1_73
ID  - Qi2022
ER  -