- Root cause: credit stratification and collateral reliance
- Information asymmetry inflates bank risk premiums
- Data credit, supply chain confirmation, patient capital
1. It's Not a Volume Problem—It's a Structural Mismatch
Discussions about private enterprise financing often fall into a trap: blaming banks for reluctance to lend, or policymakers for insufficient support. In reality, China's financial system does not lack capital. The real issue is a structural mismatch between how funds are supplied and what private firms actually need. State-owned enterprises, large platforms, and local government financing vehicles absorb the bulk of low-cost credit, while private SMEs sit at the far end of the credit chain.
Three factors drive this mismatch. First, credit stratification: banks' risk-control systems naturally favor borrowers with implicit government backing or ample collateral. Private SMEs have neither. Second, collateral dependence: despite repeated policy calls to raise the share of unsecured lending, frontline loan officers facing lifetime accountability still default to "no collateral, no loan." Third, information asymmetry: financial records at smaller private firms vary widely in quality, and the cost of verifying real operating data is high—so banks either raise rates or demand guarantees to compensate.
The Private Economy Promotion Law, effective May 20, 2025, codifies equal treatment and fair competition for the private sector, with a dedicated chapter on financing promotion. This provides a legal foundation, but laws need mechanical innovation to translate into practice.
2. Three Workable Solutions and Their Logic
Solution One: Data-driven credit enhancement—let cash flow replace fixed assets. Public data from tax, social security, utilities, and logistics is gradually opening to licensed credit agencies. For private firms, the key is to proactively formalize financial and tax records, converting "invisible operations" into "visible credit." In some regions, consistent invoicing data has already significantly reduced banks' reliance on collateral. This is less a technical hurdle than a question of whether firms are willing to bring their real operating picture into the credit system.
Solution Two: Supply chain confirmation—turn receivables into financeable assets. A large share of private enterprise capital is trapped in accounts receivable, especially from large core enterprises. The core pain point in supply chain finance is confirmation: will the core enterprise acknowledge the debt and cooperate with lock-up periods? The recent rollout of receivables financing platforms and electronic debt instruments is lowering confirmation costs. For SMEs, entering a supply chain finance system means borrowing the core enterprise's credit to enhance their own—far more realistic than applying for a standalone bank loan.
Solution Three: Patient capital—matching long-cycle investment needs. Bank loans naturally favor short cycles and quick turnover, while manufacturing upgrades and R&D often require three to five years. This maturity mismatch is hard for the banking system alone to resolve. Venture capital, industrial guidance funds, and buyout funds are the capital forms that match long-cycle innovation. Private firms need to learn to work with equity capital, not just rely on bank loans.
3. Conclusion: Solutions Lie in Mechanisms, Not Complaints
Financing difficulty is the result of three overlapping factors: a credit evaluation system, a risk-sharing mechanism, and a capital maturity structure that all work against private SMEs. Reducing the problem to bank bias solves nothing. What matters is understanding the mechanisms, adapting to them, and leveraging innovation. For private enterprises, formalizing finances, embedding into supply chains, and engaging equity capital are three paths they can actively pursue. For policymakers, opening data, refining confirmation rules, and cultivating patient capital are more effective than simply increasing credit quotas. The Private Economy Promotion Law has built the framework; the next step is granular implementation.