The integration of blockchain technology into smart logistics is revolutionizing the synergy between logistics efficiency and supply chain finance (SCF), particularly for small and medium-sized enterprises (SMEs). Blockchain’s transparency and credibility allow SMEs to use self-guarantees to secure loans from financial institutions. This chapter examines the effectiveness of SCF within a smart logistics framework, focusing on an analytical model that includes a multi-sided platform, customers, banks, and logistics service providers. The model compares the traditional Platform Undertakes Guarantee (PUG) model with a novel Customer Undertakes Guarantee (CUG) model that utilizes self-guarantees. The study finds that the CUG model can lead to a Pareto improvement over the PUG model within the smart logistics environment due to enhanced data flow and operational visibility. While CUG is more efficient, it may not benefit the platform if the customer’s opportunity cost is higher. To address credit risks, the platform can implement a prepayment strategy using smart logistics data for dynamic risk assessment. Overall, smart logistics enhances SCF by improving transparency, reducing risk, and enabling innovative financing models like self-guarantees, optimizing financial and operational outcomes.

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Financing Strategy for Small and Medium-Sized Enterprises

  • Feng Yang,
  • Xiaolong Guo,
  • Yugang Yu

摘要

The integration of blockchain technology into smart logistics is revolutionizing the synergy between logistics efficiency and supply chain finance (SCF), particularly for small and medium-sized enterprises (SMEs). Blockchain’s transparency and credibility allow SMEs to use self-guarantees to secure loans from financial institutions. This chapter examines the effectiveness of SCF within a smart logistics framework, focusing on an analytical model that includes a multi-sided platform, customers, banks, and logistics service providers. The model compares the traditional Platform Undertakes Guarantee (PUG) model with a novel Customer Undertakes Guarantee (CUG) model that utilizes self-guarantees. The study finds that the CUG model can lead to a Pareto improvement over the PUG model within the smart logistics environment due to enhanced data flow and operational visibility. While CUG is more efficient, it may not benefit the platform if the customer’s opportunity cost is higher. To address credit risks, the platform can implement a prepayment strategy using smart logistics data for dynamic risk assessment. Overall, smart logistics enhances SCF by improving transparency, reducing risk, and enabling innovative financing models like self-guarantees, optimizing financial and operational outcomes.