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

Enhancing Government Supervision Effectiveness from the Perspective of Administrative Implementation Capacity: An Empirical Study of Department X in Shanghai

Authors
Haifeng Liu1, Wenqian Wang1, *
1Donghua University, School of Humanities, Shanghai, 200051, China
*Corresponding author.
Corresponding Author
Wenqian Wang
Available Online 16 September 2025.
DOI
10.2991/978-94-6463-845-5_75How to use a DOI?
Keywords
Administrative implementation capacity; Government supervision effectiveness; Multiple linear regression model; Department X of Shanghai
Abstract

Enhancing government supervision effectiveness is a crucial approach to optimizing administrative implementation capacity and bolstering public trust. This study, grounded in policy implementation theory, principal-agent theory, and collaborative governance theory, employs Edwards’ policy implementation model as the analytical framework. Focusing on four dimensions—organizational structure, communication, organizational resources, and implementer’s intentions—the research examines the relationship between administrative implementation capacity and government supervision effectiveness, using Department X in Shanghai as a case study. Multiple linear regression model quantifies the impact of these dimensions on supervision effectiveness, with empirical data validating the model’s applicability. The findings indicate that the rationality of organizational structure and the adequacy of organizational resources significantly and positively influence government supervision effectiveness. Moreover, effective communication and clear implementer intentions are critical contributors. Based on these insights, the study proposes policy recommendations to enhance government supervision effectiveness: refining interdepartmental coordination mechanisms, strengthening resource allocation, improving information communication efficiency, and fostering a heightened sense of responsibility among implementers. These recommendations aim to provide theoretical and practical guidance for enhancing administrative implementation capacity and public credibility.

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.

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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_75How 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

TY  - CONF
AU  - Haifeng Liu
AU  - Wenqian Wang
PY  - 2025
DA  - 2025/09/16
TI  - Enhancing Government Supervision Effectiveness from the Perspective of Administrative Implementation Capacity: An Empirical Study of Department X in Shanghai
BT  - Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)
PB  - Atlantis Press
SP  - 737
EP  - 750
SN  - 2667-1271
UR  - https://doi.org/10.2991/978-94-6463-845-5_75
DO  - 10.2991/978-94-6463-845-5_75
ID  - Liu2025
ER  -