Analysis reveals factoring increases liquidity and capital flow in corporate financing, suggesting optimal strategies depend on context.
This study explores order-based Supply Chain Finance (SCF) strategies for upstream SME suppliers, focusing on Purchase Order Financing (PF) and Accounts Receivable Factoring (AF). These transaction-linked tools enhance liquidity by synchronizing capital flow with logistics. While AF is well-established, PF is increasingly adopted, sometimes in hybrid forms—used during procurement, then transitioning to AF post-shipment for efficient cash recovery. Amid global supply chain volatility and fragmented trade schedules, this research develops quantitative models incorporating logistical risk to assess four financing portfolios: (A) Self-Financing (SF), (B) SF to AF, (C) PF only, and (D) PF to AF. Through mathematical deduction, we derive the following inference: The results reveal no universally superior strategy—optimality depends on the other operational and financial context. Strikingly, strategy effectiveness proves independent of customer default risk, a counter-intuitive finding that challenges conventional assumptions. Based on numerical experiments, we draw further insights: Factoring emerges as optimal when its rate falls below the supplier’s discount rate and advance terms are favorable, while hybrid PF–AF strategies outperform in 70% of cases, especially under high order value and advance rates. Conversely, pure PF requires high margins, while low-cost SF remains viable. Notably, logistical uncertainty exerts minimal impact on financing choice, underscoring the surprising robustness of these results.
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Tsai et al. (2025) studied this question.
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