Insurance Principles for Sustainability in Extreme Weather

Keyu Tao ()
Additional contact information
Keyu Tao: Nanjing Forestry University

A chapter in Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025), 2025, pp 220-225 from Springer

Abstract: Abstract Climate change-related extreme weather imperils people’s lives, health, and property. This research constructs an insurance evaluation model and a landmark protection model to boost property insurance sustainability. Taking China and the United States as cases, the insurance evaluation model uses a competitive screening model for pricing and the TOPSIS method for impact scoring. It can distinguish underwriting risks (scores over 60 indicate low-risk underwriting, 20-60 suggest cautious underwriting, and below 20 mean no underwriting) and has 5% sensitivity stability. Based on this, property site selection is evaluated. For instance, Fujian Province was analyzed, and Fuzhou City with a score of 83.2 was selected as a suitable location, with a preference for areas scoring over 60. The landmark protection model, relying on the object element topable model, scores landmarks (preserving those over 60) and quantifies protection measures. The models were applied to the Mogao Grottoes, and a community protection letter was formulated. These models offer valuable tools for the insurance industry, real-estate developers, and heritage conservation, enhancing the understanding of the relationship between extreme weather, property insurance, and landmark protection.

Keywords: Property insurance; TOPSIS integrated evaluation approach; Objective element topological modeling; Extreme weather; Landmark protection (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-770-0_27

Ordering information: This item can be ordered from
http://www.springer.com/9789464637700

DOI: 10.2991/978-94-6463-770-0_27

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().