Resilience and loss mitigation: An empirical study from China.

Area of Science:

• Disaster risk management
• Economic modeling
• Resilience science

Background:

• Limited quantitative analyses exist on disaster resilience's effectiveness in loss reduction.
• Growing recognition of resilience's importance in mitigating disaster impacts.

Purpose of the Study:

• To introduce a novel approach for integrating resilience into computable general equilibrium (CGE) models.
• To quantitatively assess the role of resilience in mitigating disaster-related economic losses.
• To evaluate the effectiveness of resilience strategies in post-disaster recovery.

Main Methods:

• Developed a conventional CGE model for baseline disaster loss assessment.
• Incorporated resilience into the production module by adjusting elasticity parameters.
• Compared baseline and resilience-enhanced CGE models using a Beijing rainfall event case study.

Main Results:

• Resilience integration significantly reduced total output losses from $29.10 billion to $20.98 billion.
• The loss rate decreased from 3.88% to 2.80% after incorporating resilience.
• Sectoral recovery rates varied, with trade and services recovering faster than utilities and manufacturing.

Conclusions:

• The novel CGE approach effectively quantifies disaster resilience and its loss mitigation benefits.
• Findings highlight the practical implications for developing effective resilience strategies and post-disaster management.
• Sector-specific recovery dynamics underscore the need for tailored resilience interventions.