Recently, Associate Professor Liu Huihui from the School of Economics and Management at Beihang University published a research article titled "Multidimensional Signaling with Supplier Credit Guarantee" in the leading international journal Management Science. The paper is co-authored with Song Haotian of Zhejiang University and Xiao Wenqiang of New York University. The study investigates the multifaceted role of credit guarantees and their implications when adopted for financing downstream buyers in a supply chain consisting of a supplier, a capital-constrained buyer, and a bank.

Small and medium-sized enterprises (SMEs) stand as the bedrock of growth, innovation, and job creation across the globe. However, despite their substantial contributions, SMEs frequently face significant hurdles, particularly in accessing adequate financing to fuel their operations and growth ambitions. Banks often perceive SMEs as high-risk borrowers due to limited transactional records, sparse financial history, lack of collateral, and higher failure rates. Consequently, many SMEs struggle to meet stringent lending requirements, resulting in a financing gap that hampers their growth potential.

In response to these challenges, supply chain finance has emerged as a viable solution. Its essence lies in harnessing the creditworthiness of core enterprises, who possess a deeper understanding of upstream or downstream SMEs, and empowering them with credit to facilitate access to external financing. Within this framework, credit guarantee schemes—where core enterprises promise to compensate lenders in case of borrower default—have proven to be an important and widely adopted approach.

Motivated by the prevalent use of such schemes in business practice, the authors develop a parsimonious model that captures the strategic interactions among three key players: a supplier who offers a contract comprising a wholesale price and possibly a credit guarantee, a capital-constrained downstream buyer seeking a bank loan, and a bank that is assured recovery up to the guaranteed amount in the event of default.

The study first analyzes a complete information scenario in which the buyer's type is transparent to both the supplier and the bank. This benchmark confirms the traditional view that risk-sharing mechanisms like credit guarantees can increase order quantities. Yet, the analysis reveals a striking and counterintuitive result: the introduction of a credit guarantee leads the supplier to raise the wholesale price, which ultimately offsets the operational benefit. When the supplier incurs no financing cost, implementing a credit guarantee yields the same effect as adjusting the wholesale price, offering no distinct advantage in terms of operational efficiency. When financing costs are present, a guarantee contract may even become suboptimal relative to a standalone wholesale price contract.

The paper then turns to a more complex and realistic environment characterized by information asymmetry, where the supplier knows the buyer's true condition but the bank does not. In this setting, the contract itself serves as a signal that shapes the bank's belief and loan pricing decisions. The authors characterize the unique perfect Bayesian equilibrium that survives refinement criteria and uncover three key insights.

First, when only a wholesale price contract is available, the equilibrium is pooling, indicating that the wholesale price alone is insufficient to credibly separate different buyer types. Second, when a guarantee contract is introduced, a separating equilibrium featuring either a partial or full guarantee emerges. This highlights the significant informational role of credit guarantees, despite their limited operational function under full information. Third, it suffices for the high-type supplier to distort only the credit guarantee for signaling purposes while keeping the wholesale price at its optimal full-information level. This finding delineates the distinct functions of the two contractual instruments: the wholesale price governs operational efficiency, whereas the credit guarantee enhances signaling efficacy.

This study also compares supplier and buyer performance under different contract forms and shows that credit guarantees do not always benefit both parties. In certain scenarios, either the supplier or the buyer may be adversely affected. These nuanced results underscore the complex strategic considerations involved in implementing credit guarantees and highlight the importance of carefully assessing specific supply chain conditions and objectives. By disentangling the operational and informational roles of credit guarantees, the research advances theoretical understanding of supply chain finance and provides rigorous guidance for firms seeking to bridge the SME financing gap through more effective contract design.

Management Science is a scholarly journal with an analytical focus on scientific research on the theory and practice of management. Established in 1954, it is published by the INFORMS (Institute for Operations Research and the Management Sciences). The journal features studies of organizational, managerial, and individual decision-making from both normative and descriptive perspectives, offering a cross-functional and multidisciplinary examination of advances and solutions that support improved strategic planning and management science. It is widely recognized as one of the UTD24 and FT50 journals.

Link to the article: https://doi.org/10.1287/mnsc.2024.07052

Source: School of Economics and Management

Editor: Lyu Xingyun