Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)

<Previous Article In Volume
Next Article In Volume>

Optimization and Enhancement of Government-Guided Fund Management Models: A Simulation-Based Analysis of District J in Shanghai

Authors
Chang Liu1, Wenqian Wang2, Zhengbang Hou2, Shichao Chen2, *
1Shanghai International Studies University, School of Business and Management, Shanghai, 200083, China
2Donghua University, School of Humanities, Shanghai, 200051, China
*Corresponding author.
Corresponding Author
Shichao Chen
Available Online 16 September 2025.
DOI
10.2991/978-94-6463-845-5_80How to use a DOI?
Keywords
Government-guided Fund; Simulation-based Analysis; District J of Shanghai
Abstract

This study provides a comprehensive analysis of the operational model and optimization pathways of the government-guided fund in District J, Shanghai. First, the research identifies key challenges in the current fund management framework, including ambiguous delineation of responsibilities between the government and fund management institutions, insufficient professional investment capabilities, imperfect performance evaluation and regulatory systems, and the lack of effective error-tolerance mechanisms. Building on these challenges, the study employs simulation-based analysis to propose optimization strategies: emphasizing clearer division of management responsibilities, enhancing investment expertise, improving evaluation and oversight mechanisms, and establishing a robust error-tolerance framework. Furthermore, the paper recommends prioritizing support for technological innovation and strategic emerging industries while optimizing capital operation platforms to foster synergistic growth between finance and industry. Finally, the study demonstrates that through dynamic management strategy adjustments and systematic fund management optimization, government-guided funds can better adapt to market fluctuations, improve capital pool growth and investment returns, and ultimately contribute to high-quality regional economic development.

Copyright
© 2025 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)
Series
Atlantis Highlights in Economics, Business and Management
Publication Date
16 September 2025
ISBN
978-94-6463-845-5
ISSN
2667-1271
DOI
10.2991/978-94-6463-845-5_80How to use a DOI?
Copyright
© 2025 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  - Chang Liu
AU  - Wenqian Wang
AU  - Zhengbang Hou
AU  - Shichao Chen
PY  - 2025
DA  - 2025/09/16
TI  - Optimization and Enhancement of Government-Guided Fund Management Models: A Simulation-Based Analysis of District J in Shanghai
BT  - Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)
PB  - Atlantis Press
SP  - 794
EP  - 806
SN  - 2667-1271
UR  - https://doi.org/10.2991/978-94-6463-845-5_80
DO  - 10.2991/978-94-6463-845-5_80
ID  - Liu2025
ER  -