Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

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Post-Epidemic Economic Risk Prevention and Public Management Suggestions Based on Supply Chain Analysis Model

Authors
Linglan Fu1, 2, Jinlong Su3, 4, *
1Quanzhou Institute of Information Engineering, Quanzhou, China
2Fujian Open University, Quanzhou Branch, Quanzhou, China
3Fujian Higher Education Research Center for Cloud Computing, Internet of Things, and E-Commerce Intelligence, Quanzhou, China
4Quanzhou Normal University, Quanzhou, China
*Corresponding author. Email: su_jinlong@hotmail.com
Corresponding Author
Jinlong Su
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-256-9_2How to use a DOI?
Keywords
Economic Risk Prevention; Public Management; Supply Chain Analysis
Abstract

This paper analyzes the main problems and difficulties faced by the economy of Fujian province after the epidemic, and probes into the effective countermeasures to accelerate the improvement of Fujian province’s economy through many fields investigations inside and outside Fujian province. Team is the purpose of the investigation research in relevant factors of industrial development in Fujian Province, assist the governments at all levels to develop guidance and the support policy, optimize the business environment. The research team introduced an analysis model for the upstream and downstream of the supply chain, and with the help of the super computing power of the provincial Cloud Computing Engineering Center, based on industrial big data and artificial intelligence algorithm analysis, put forward several suggestions for the Fujian economy after the epidemic, and won the recognition of relevant government departments. This paper focuses on the Research on post-epidemic economic risk prevention and public management suggestions based on supply chain analysis model. After thorough investigation and analysis, the research group put forward several feasible schemes.

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 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
9 October 2023
ISBN
10.2991/978-94-6463-256-9_2
ISSN
2352-5428
DOI
10.2991/978-94-6463-256-9_2How 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  - Linglan Fu
AU  - Jinlong Su
PY  - 2023
DA  - 2023/10/09
TI  - Post-Epidemic Economic Risk Prevention and Public Management Suggestions Based on Supply Chain Analysis Model
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 4
EP  - 18
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_2
DO  - 10.2991/978-94-6463-256-9_2
ID  - Fu2023
ER  -