According to information from the shenzhen financial supervisory authority, four departments, including the shenzhen financial supervisory authority, recently issued a circular on measures to promote the quality development of new energy vehicle insurance in shenzhen, which launched 10 policy initiatives aimed at further deepening new energy vehicle insurance reforms, raising the level of development of the new energy automobile industry for insurance services, and developing a shenzhen sample of high-quality new energy vehicle risk development。

The circular proposes to support the insurance industry in optimizing the supply of products around the need for new energy vehicle insurance. Shenzhen is actively pursuing the piloting of the “basic + change” new energy vehicle risk portfolio. Explore flexible insurance coverage for part-time networked vehicles in the form of extended operating liability surcharges. Financial insurance companies are encouraged to explore comprehensive smart driving insurance to provide adequate insurance coverage for unmanned taxis, buses and logistics transport vehicles in shenzhen. Financial risk companies are encouraged to explore the development of proprietary products for applications such as fit-for-smart compartments, and integrated road cloud systems. Explore research into innovative pilot commercial vehicle risk products in the areas of urban bus transport, shenzhen zero emission cargo corridor. Support for the insurance industry to build a network of offshore insurance services for new energy vehicles, improve insurance coverage through co-insurance and reinsurance, and provide insurance support for shenzhen's new energy vehicle “off to sea”。

The circular proposes to optimize the baseline rates for commercial vehicle risk insurance for new energy sources, to support the insurance industry in using empirical data, to scientifically measure pure risk loss rates for different types of vehicles, to serve as an important reference for the classification of vehicle-type risk and benchmarking rates, and to improve the accuracy and reasonableness of pricing for new energy vehicle risk insurance. Improving mechanisms for market-based tariff formation and steadily expanding the scope of autonomous pricing coefficient fluctuations. Financial risk companies are encouraged to incorporate new risk factors such as continuous miles, safe configuration, power performance into pricing models, explore the use of traffic violation coefficients in pricing, promote better matching of new energy vehicle insurance prices with risk and enhance pricing science。
The circular proposes to explore the “insurance + technology + wind control” model, to encourage new energy automobiles to install active safety management equipment through a premium floating mechanism, and to enhance risk monitoring and behaviour guidance based on vehicle network technology such as smart surveillance equipment to reduce accident risk. Refinement of the new energy vehicle insurance exclusive risk alert and promotion of consumer awareness of vehicle safety. (b) awareness-raising services to help consumers understand the performance and structure of new energy vehicles and to guide consumers in developing good car habits. Support for joint research on safety economy in the insurance and automobile industries, leading to improved safety and maintenance economic management in new energy automobile enterprises。
The circular suggested that the insurance industry and the new energy automobile industry establish a new energy vehicle data-sharing mechanism in the context of safety compliance, support the use of insurance settlement data for car-type risk studies by new energy automobiles, support the use of battery health, driving behaviour and other data by financial insurance companies for risk modelling and actuarial pricing, and support the use of vehicle data by financial risk companies for loss and loss determination. Support was provided to the insurance industry and the transport administration to establish data interface mechanisms for double validation of data on nature of vehicles, owner information, date of entry, violation of laws, etc。




