Overview
Recently, Lijiang city in Yunnan province formally issued its policy-based comprehensive catastrophe insurance, providing broader coverage for about 1.25 million residents. The program covers residential property and personal risk and, via an index-based approach, focuses on earthquake and heavy-rainfall risk management. China Re (CPCR) acts as the lead reinsurer, providing core technical support and assuming the principal reinsurance risk.
As 2026 opens the 15th Five-Year Plan, the national plan explicitly calls for a robust catastrophe risk-protection system and risk-sharing mechanism. China Re’s move is another practice in deepening catastrophe risk management and improving multi-tier risk governance.
Background & Interpretation
1. Regulatory and Industry Context
China is among the most disaster-prone nations, yet catastrophe insurance coverage has long been low, with post-disaster relief relying mainly on fiscal spending. Under the 15th Five-Year top-level design emphasizing catastrophe protection, policy catastrophe insurance is moving from pilot to normalization, with reinsurance — “insurance for insurers” — playing a key role in dispersing risk and smoothing fiscal volatility.
2. Core Drivers and Underlying Mechanism
The core mechanism is index-triggered, layered dispersion: objective indices such as seismic intensity and rainfall trigger payouts, reducing loss-assessment disputes and speeding claims; a “primary + reinsurance + fiscal” multi-layer structure spreads catastrophe losses across time and space. China Re, as lead reinsurer, underwrites the principal risk backed by its catastrophe models and capital strength.
3. Market Structure and Industrial Chain Impact
Normalization of policy catastrophe insurance will drive supporting industries — catastrophe modeling, index actuarial and claims technology — and attract more reinsurance and capital-market instruments such as catastrophe bonds. The Lijiang “lead-reinsurer + index” model is replicable across earthquake- and flood-prone regions.
Implications & Outlook
Near term, more provinces will launch policy catastrophe programs modeled on Lijiang. Medium term, index-based, model-based and multi-layer dispersion become mainstream. Key variables: fiscal support, localization accuracy of catastrophe models, and catastrophe-bond issuance pace.
Takeaways for Industry Participants
Reinsurers and primary insurers should accelerate localized catastrophe-model and index-product capability. Local governments can embed catastrophe insurance into disaster-prevention systems to mitigate fiscal pressure via market means. Corporate clients should assess catastrophe exposure and voluntarily add commercial catastrophe cover as a supplement.
This column compiles industry information and shares technical perspectives; it does not constitute investment advice.