Evaluation of Insurance Models and Sensitivity Analysis Based on the Analytic Hierarchy Process (AHP)
- DOI
- 10.2991/978-94-6463-916-2_24How to use a DOI?
- Keywords
- Analytic Hierarchy Process (AHP); Extreme Climate Risk; Insurance Regional Evaluation
- Abstract
The growing frequency of extreme weather events presents substantial challenges to the sustainable operation of the insurance industry, with accurate risk assessment and regional selection models emerging as critical to insurance firms’ decision-making. This study develops an evaluation system for insurance projects via the Analytic Hierarchy Process (AHP), using Japan and Chile as case studies to quantify the impact weights of core indicators—including extreme climate, regional development level, population, and per capita property. Leveraging empirical analysis of three regions in Chile, the feasibility evaluation framework of the insurance model is refined. Finally, sensitivity analysis is used to validate the model’s stability, providing a scientific basis for insurance enterprises’ regional deployment amid the context of extreme climates.
- 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 - Sitong Shen AU - Yiyang He PY - 2025 DA - 2025/12/22 TI - Evaluation of Insurance Models and Sensitivity Analysis Based on the Analytic Hierarchy Process (AHP) BT - Proceedings of the 2025 4th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2025) PB - Atlantis Press SP - 197 EP - 208 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-916-2_24 DO - 10.2991/978-94-6463-916-2_24 ID - Shen2025 ER -