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Evaluation of Insurance Models and Sensitivity Analysis Based on the Analytic Hierarchy Process (AHP)

In: Proceedings of the 2025 4th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2025)

Author

Listed:
  • Sitong Shen

    (Beijing University of Technology)

  • Yiyang He

    (Beijing University of Technology)

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.

Suggested Citation

  • Sitong Shen & Yiyang He, 2025. "Evaluation of Insurance Models and Sensitivity Analysis Based on the Analytic Hierarchy Process (AHP)," Advances in Economics, Business and Management Research, in: Qihui Chen & Nazrul Islam & Zulkiflee bin Mohamed & Yahua Xu (ed.), Proceedings of the 2025 4th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2025), pages 197-208, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-916-2_24
    DOI: 10.2991/978-94-6463-916-2_24
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