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银行业全力护航秋粮收购与冬小麦种植
Zheng Quan Ri Bao·2025-10-25 16:37

Core Viewpoint - The banking industry is actively responding to the challenges posed by continuous rainfall affecting autumn grain procurement and winter wheat planting, implementing emergency financial services to ensure food security. Group 1: Financial Support for Grain Procurement - The banking sector is providing targeted financial support to address issues such as wet grain drying and storage pressures caused by excessive rainfall, exemplified by a loan of 2 million yuan approved for a drying facility that can process 300 tons of wet grain daily [2] - Agricultural Development Bank is enhancing grain storage capabilities through specialized loans, such as a 220 million yuan loan for a storage project in Guangxi, aimed at improving regional grain reserve capacity [2] Group 2: Digital Transformation in Banking Services - Banks are leveraging digital technology to create a comprehensive service system that combines online and offline support, significantly reducing loan application and approval times from 7 days to 10 minutes for farmers [3] - Jiangsu Bank has integrated its agricultural machinery loan system with subsidy programs, allowing farmers to complete loan applications via mobile devices without the need for physical paperwork [3] Group 3: Risk Management and Innovative Financial Products - Financial technology is being utilized to monitor grain drying and storage conditions, with real-time data tracking to prevent losses due to adverse weather [4] - New financial products, such as "machinery interest subsidy loans," are being introduced to support farmers in purchasing essential equipment, ensuring continuous grain procurement without interruptions [4] Group 4: Customized Financial Services for Winter Wheat Planting - The banking industry is offering tailored financial services to address challenges in winter wheat planting due to delayed harvesting, focusing on timely funding for seed and fertilizer purchases [5][6] - Banks are implementing flexible loan models, allowing farmers to adjust their borrowing based on changing soil conditions and planting schedules, thus optimizing resource allocation [6]