Dynamic Coupling Analysis of Reclamation Land Utilization and Social-Economy Development, a Case Study of Zhejiang Province
- 10.2991/978-2-38476-062-6_51How to use a DOI?
- Sustainable Development; Dynamic Coupling Analysis; Coordinate Development
A dynamic coupling model with ecology factors of reclaimed land utilization and social-economy development was constructed for case study of coastal cities of Zhejiang. According to the results, firstly, the coupling of reclaimed land utilization and social-economy development were totally in a small value less than 1, where effectiveness of social-economy development was dominated. Secondly, there were three patterns of dynamic coupling in 7 cities that those four cities of Hanghzou, Jiaxing, Taizhou and Wenzhou were in the pathway of regeneration, two cities of Shaoxing and Ningbo were in the pathway of extreme development and Zhoushan was in the pathway of coordination development. Thirdly, related policies should be implemented timely to ensure effective cohesion and smooth entrance from old coupling pathway to a new one with more effectiveness.
- © 2023 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 - Zeyu Gao AU - Jun Wang PY - 2023 DA - 2023/07/11 TI - Dynamic Coupling Analysis of Reclamation Land Utilization and Social-Economy Development, a Case Study of Zhejiang Province BT - Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023) PB - Atlantis Press SP - 404 EP - 412 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-062-6_51 DO - 10.2991/978-2-38476-062-6_51 ID - Gao2023 ER -