Postal Savings Bank Agricultural Loans Top RMB 2.6 Trillion on Digital Risk Controls
Postal Savings Bank of China reported agricultural loan balances exceeding RMB 2.6 trillion as of end-June 2026, with inclusive agricultural loans surpassing RMB 1 trillion. System integration with credit guarantee agencies in Shandong cut loan approval times from more than ten days to three working days, a reduction of over 70 percent. The bank deployed AI-driven risk models for automated approval, identified 110 key counties for differentiated servicing, and launched tailored products including cotton, konjac and shoe-materials lending. Loans in 160 nationally designated rural revitalisation counties totalled over RMB 80 billion.
During the summer grain purchasing season, grain storage operator Ma Shenghe in Jianglou township, Dong'e county, Shandong province, received a RMB 200,000 loan within three days. Previously, such loans required dual review by both the bank and a guarantee company, a process taking more than ten days. With information channels now connected, the cycle from application to disbursement has been compressed to three working days. The change stems from a direct system link-up between the Shandong branch of Postal Savings Bank of China and the Shandong Agricultural Development Credit Guarantee Company Limited, under which bank-entered data is received simultaneously by the guarantor, review results are fed back instantly, and financing turnaround time has been cut by more than 70 percent.
In recent years, PSBC has introduced big data and artificial intelligence across the entire agricultural finance process. Through customer profile analysis and risk prediction models, whitelisted clients can be approved automatically by the system, driving a shift from collateral-based lending to credit-based lending. In Heilongjiang, the 'Agriculture-Livestock Loan' integrates land rights confirmation and contracting and management information to build precise profiles of growers. In Xinjiang, the 'PSBC Express Cotton Loan' draws on data from the National Cotton Trading Market and has served more than 5,600 cotton farmers to date. In Ankang, Shaanxi province, the Langao sub-branch launched the 'Selenium-Rich Konjac Loan', linked to whitelist data along the konjac industry chain, and promoted a 'farmers plus cooperatives plus enterprises' model. Disbursements totalled more than RMB 56 million by early July 2026, with average household income up nearly RMB 8,000.
PSBC has identified 110 key counties with stable industrial development and strong financial demand, adopting differentiated service strategies. In Jinjiang, Fujian province, the sub-branch drew up an 'industrial finance map' and launched the 'Fu-Shang' industrial loan (Jinjiang shoe materials), embedding a combination of credit, settlement and wealth management services across the procurement, production and sales process. In Dongtai, Jiangsu province, outlets are each positioned in a niche field under a 'one bank, one strategy' approach: the Shiyan outlet focuses on stainless steel and grain brokers, the Anfeng outlet on sheep farming and transport logistics, and the Fu'an outlet on poultry farming and agricultural by-products.
PSBC divides county economies into four categories - agriculture-led, industry-intensive, major-project-driven, and park-driven - with differentiated lending policies and 'one chain, one strategy' and 'one cluster, one strategy' services. As of end-June 2026, agricultural loan balances exceeded RMB 2.6 trillion, inclusive agricultural loans surpassed RMB 1 trillion, and total loan balances in the 160 nationally designated key counties for rural revitalisation exceeded RMB 80 billion.
Why this event matters
The event has a measured impact on 1 industry. The strongest current signal is positive for State-owned Banks, with intensity 35/100 and 70% confidence over a medium term horizon.
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