Core Viewpoint - The collaboration among multiple parties aims to leverage financial and meteorological technology to enhance disaster prevention and reduction in the Maoming lychee industry, creating a new model that integrates agriculture, meteorology, finance, and technology [4][8][10]. Group 1: Collaboration and Agreement - A cooperation agreement titled "Financial Meteorology Technology Empowering High-Quality Development of the Lychee Industry" was signed by six parties, including the Guangdong Meteorological Bureau and the Maoming Municipal Government [3][4]. - The agreement emphasizes principles such as complementary advantages, collaborative advancement, and service to society, aiming to establish a national-level lychee financial meteorology base [10][12]. Group 2: Disaster Prevention and Technological Support - The collaboration will focus on disaster prevention and reduction, meteorological indices, weather derivatives, and index insurance, creating a robust support system for the lychee industry [6][7][8]. - The Guangdong Meteorological Bureau will provide professional meteorological services and support for scientific research related to the impact of weather on lychee production [19][20]. Group 3: Financial Products and Risk Management - The initiative includes the development of lychee meteorological index products and the implementation of an "insurance + futures" service model to provide comprehensive risk management for lychee farmers [30][32]. - The collaboration aims to transition lychee meteorological index insurance from commercial insurance to policy-based agricultural insurance, thereby reducing costs for growers and enhancing their willingness to insure [34][35]. Group 4: Innovation and Future Prospects - The partnership will explore the design of green financial products, including lychee meteorological index derivatives, to promote futures trading and support rural revitalization through financial innovation [36][37]. - The establishment of the Gaoxiong Lychee Financial Meteorology Base will gather resources from financial institutions, meteorological departments, and research institutes to enhance the precision of meteorological data monitoring and disaster risk early warning [15][18].