Core Viewpoint - Agricultural insurance plays a crucial role in helping the government prevent agricultural disasters and improve disaster response capabilities, becoming an essential part of the national disaster prevention and reduction system [1]. Theoretical Basis - Agricultural insurance provides economic compensation to affected farmers, helping them quickly restore production and stabilize agricultural output [2]. - The shift from passive compensation to proactive prevention in risk management leverages insurance funds, disaster data analysis, and disaster reduction services to lower the probability and severity of agricultural risks [3]. - Insurance companies incentivize farmers to enhance their disaster prevention efforts, thereby increasing their awareness and application of disaster reduction technologies [4]. - Agricultural insurance can quickly respond to disaster needs, providing timely compensation to farmers, thus transforming uncertain losses into certain premium costs [5]. Practical Experience - Current practices in risk reduction by the insurance industry include resource investment, technical support, data application, and innovative products [6]. Resource Investment - Insurance institutions donate disaster reduction materials to assist farmers during critical growth periods [7]. - They invest funds and personnel to support disaster prevention efforts [8]. - Insurance companies establish service teams to promote risk reduction awareness among clients [9]. - Expert teams are organized to provide timely agricultural management guidance during critical production periods [10]. - Collaboration with various professional entities to offer specialized disaster prevention services [11]. Technical Support - Remote sensing technology is used for rapid disaster damage assessment and crop growth monitoring [12]. - Internet of Things (IoT) technology is applied to enhance monitoring and early warning systems [13]. - A comprehensive digital platform is developed for intelligent monitoring and expert guidance [14]. - AI technology is utilized to improve risk management and service delivery [15]. Data Application - Agricultural insurance risk maps are created to assess historical disaster frequency and intensity [15]. - Disaster prediction models are developed using meteorological and agricultural data [16]. - Customized disaster reduction plans are formulated based on historical data analysis [17]. - Catastrophe models are researched to enhance risk quantification and management [18]. Innovative Products - Weather index insurance is developed to provide preemptive coverage based on climatic conditions [19]. - Pest damage compensation insurance is introduced to support farmers financially before disasters occur [20]. - Livestock medical insurance is designed to cover necessary medical expenses for livestock affected by disasters [21]. Existing Issues and Challenges - Insufficient overall investment in agricultural insurance risk reduction, including a lack of specific policies and limited funding [22]. - Inadequate collaboration between government, social organizations, and insurance companies in risk reduction efforts [23]. - Service capabilities need improvement, with many insurance companies lacking a deep understanding of risk reduction services [24]. - Weak implementation foundation due to data quality issues, high technology application costs, and a lack of proactive disaster awareness among farmers [25]. Development Path and Recommendations - Integrate the agricultural insurance industry into the national emergency management system to enhance its role in disaster prevention and recovery [26]. - Strengthen policy support for agricultural insurance risk reduction, including dedicated policy documents and improved financial systems [27]. - Build a data and technology-driven risk reduction service system to enhance risk assessment and early warning capabilities [28]. - Improve agricultural insurance by innovating products and services, enhancing talent recruitment, and increasing farmer education [29].