从“核控”到“脱核” 江苏供应链金融一线观察
Jin Rong Shi Bao·2025-10-22 04:35

Core Insights - Jiangsu province contributes nearly 10% of China's GDP, with a projected GDP of over 13.7 trillion yuan in 2024, driven by robust industrial clusters and efficient supply chain networks [1] - The traditional supply chain finance model, heavily reliant on core enterprise credit, is facing challenges and is undergoing a transformation towards a data-driven credit system [5][6] Supply Chain Challenges - Many small and medium-sized enterprises (SMEs) in Jiangsu's manufacturing sector struggle with financing due to reliance on traditional collateral methods, which do not suit their operational models [2][3] - The "nuclear control" model, which depends on core enterprises for credit, creates significant credit risks and fails to support the financing needs of smaller enterprises [3][4] Innovative Solutions - The emergence of the "de-nuclearization" model aims to reduce reliance on core enterprise credit by utilizing data credit systems, allowing for a more inclusive financing approach [5][6] - Companies like Qingtian Technology have successfully implemented innovative financing solutions, such as "Quick Payment," which leverages transaction data to facilitate quicker access to loans for SMEs [6][7] Collaborative Financing Models - XuGong Group has developed its own supply chain finance platform, XuGong Rongpiao, to integrate suppliers and financial resources, although it initially faced challenges with traditional financing models [4][8] - New risk-sharing mechanisms have been introduced, allowing for a more collaborative approach between core enterprises and financial institutions, enhancing credit access for SMEs [8][9] Policy and Technological Support - The Chinese government is promoting the "de-nuclearization" model through policies that encourage the use of data credit and support financing for SMEs [11][12] - Jiangsu province is actively exploring digital financial services to innovate supply chain financing, aiming to create a comprehensive credit evaluation system [11][12] Future Directions - The shift towards a decentralized credit system based on real transaction data is expected to enhance the resilience of supply chains and foster closer cooperation among industry players [12][13] - Financial institutions are encouraged to adopt multi-dimensional analyses of supply chain clients to support the development of data credit systems, which will be crucial for the future of supply chain finance [12][13]