十年打磨升级 “银期保”让黑土“生金”

Core Insights - The "Insurance + Futures" model has evolved into the "Silver Futures Insurance" (银期保) system, which integrates insurance, futures, banking, and leading enterprises to create a comprehensive risk management framework for agriculture [2][5][7] Group 1: Model Overview - The "Silver Futures Insurance" model was launched by the Dalian Commodity Exchange in 2023, expanding the original "Insurance + Futures" concept to include a full-chain support system covering production, sales, funding, and risk management [2][5] - This model provides dual protection for farmers through price and yield insurance, while also offering credit support based on insurance policies and orders, ensuring a sustainable cycle of farming operations [2][3] Group 2: Case Study - Li Fuqiang - Li Fuqiang, head of a cooperative in Heilongjiang, experienced significant benefits from the "Silver Futures Insurance" model, which allowed him to directly connect with grain purchasing enterprises, leading to increased profits [3][4] - In 2023, Li earned an additional 480,000 yuan through secondary pricing operations facilitated by the model, demonstrating its financial advantages [3][4] Group 3: Financial Impact - In 2024, the "Silver Futures Insurance" project in North An covered 100,000 acres, with a total loan issuance of 12.6 million yuan and an insurance premium of 4.65 million yuan, showcasing its scale and financial backing [4][5] - Farmers participating in the program received 4.52 million yuan in claims due to falling prices, along with secondary pricing gains of 1.38 million yuan, highlighting the model's effectiveness in risk mitigation [4][5] Group 4: Broader Implications - The "Silver Futures Insurance" project not only provides financial support but also encourages modern management practices among farmers, enhancing their financial literacy and operational efficiency [5][6] - The Dalian Commodity Exchange aims to extend the pricing period from 2 months to 6 months by 2025, further aligning with farmers' selling habits and market fluctuations [7]