Dynamic Monitoring Method for Public Policy Implementation Efficiency in Digital Governance

DOI

10.2991/978-94-6463-916-2_75How to use a DOI?

Keywords

Digital Governance; Public Policy Implementation; Dynamic Monitoring; Time Series Analysis; Big Data

Abstract

This study proposes a dynamic monitoring method for evaluating public policy implementation efficiency in the context of digital governance. Existing approaches to policy evaluation are mostly retrospective and static, which limits their ability to provide timely insights and adaptive support. To address this gap, the proposed framework introduces a multi-dimensional indicator system that integrates policy execution progress, resource allocation efficiency, and social feedback. By leveraging big data sources and employing time series analysis techniques, the system enables real-time tracking, anomaly detection, and early warning of policy delays. A case study demonstrates that the method achieves higher prediction accuracy, reduced monitoring errors, and earlier detection of execution bottlenecks compared with traditional static approaches. The findings highlight the potential of combining digital technologies with governance research to enhance transparency, accountability, and adaptive management in public administration.

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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TY  - CONF
AU  - Yuechen Jiang
PY  - 2025
DA  - 2025/12/22
TI  - Dynamic Monitoring Method for Public Policy Implementation Efficiency in Digital Governance
BT  - Proceedings of the 2025 4th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2025)
PB  - Atlantis Press
SP  - 686
EP  - 691
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-916-2_75
DO  - 10.2991/978-94-6463-916-2_75
ID  - Jiang2025
ER  -