Theoretical Analysis of Information Asymmetry and Credit Constraints in Supply Chain Finance

In the era of rapid digital economic development, supply chain finance has become a crucial pathway for addressing the financing challenges faced by small and medium-sized enterprises (SMEs). However, persistent information asymmetry prevents financial institutions from accurately assessing enterprise risks, thereby creating credit constraints. This paper applies information asymmetry and credit constraint theories to examine the relationships among information structure, credit transmission, and financing constraints within the supply chain finance system. Through case study analysis of JD.com’s supply chain finance and Haier’s COSMOPlat platform, this paper find that information sharing and core enterprise credit endorsement can enhance information transparency and improve financing efficiency. Finally, this paper proposes policy recommendations in areas such as promoting the development of information-sharing platforms, enhancing the credit transmission capabilities of core enterprises, improving credit evaluation systems, and strengthening regulation and risk control. These recommendations provide practical guidance for the healthy and stable development of supply chain finance.