Issue |
E3S Web Conf.
Volume 617, 2025
2024 International Conference on Environment Engineering, Urban Planning and Design (EEUPD 2024)
|
|
---|---|---|
Article Number | 01019 | |
Number of page(s) | 8 | |
Section | Multi-dimensional Study on Ecological Environment and Resource Utilisation | |
DOI | https://doi.org/10.1051/e3sconf/202561701019 | |
Published online | 21 February 2025 |
Comparison of Coastal Resilience Policies: A Perspective on Effective Global Governance Strategies
Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
* Corresponding author: dongweiwei@tio.org.cn
Coastal areas are key ecosystems that concentrate global biodiversity and are particularly vulnerable to the impacts of climate change. Countries around the world have developed diverse policies to address coastal resilience challenges, responding to threats from sea level rise, extreme weather events, and coastal development. This paper provides a comparative analysis of coastal resilience governance policies across different countries and regions, summarizing successful governance practices. The study reveals that developed countries like the Netherlands and the United States have effectively enhanced disaster resilience and ecological protection by combining hard engineering measures with nature-based solutions. In contrast, countries such as Japan and Indonesia have focused more on community participation and nature-based solutions, demonstrating the advantages of low-cost and sustainable governance. Successful policy tools exhibit several common characteristics, including the integration of engineering measures with nature-based solutions, broad community involvement, multi-level collaborative governance, and adaptive management. Moreover, the study highlights the challenges and prerequisites of cross-regional policy transfer. This paper provides feasible recommendations for policymakers to enhance the adaptability and resilience of coastal areas in response to the long-term risks posed by climate change.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.