Search Results (25)

This research aims to investigate financing decisions of capital-constrained small and medium-sized enterprise (SME) manufacturers and distributors under a Green Supply Chain (GSC) framework. By evaluating the impact of Supply Chain Finance (SCF) instruments, this study utilizes Stackelberg game model to explore a decentralized decision-making system. To our knowledge, this investigation represents the first exploration of game models that uniquely compares financing through trade credit, where the manufacturer offers zero-interest credit without discounts with reverse factoring, while also considering distributor’s efforts on sustainable marketing under the impact of supportive government policies. Our study suggests that manufacturers should adopt reverse factoring for optimal profits and actively participate in distributors’ financing decisions to address inefficiencies in decentralized systems. Furthermore, the distributor’s demand quantity, profits and sustainable marketing efforts show significant increase under reverse factoring, aided by favorable policies. Finally, the results are validated through Python 3.8.8 simulations in the Anaconda distribution, offering meaningful insights for policymakers and supply chain managers. Full article

Over the past decade, the rapid growth of supply chain finance (SCF) in developing countries has made it a key profit driver for commercial banks and financial firms. In parallel, financial risk control in SCF has attracted more and more attention from financial service providers and has gained research momentum in recent years. This study analyzes the contagion mechanism of SCF-related risks faced by commercial banks through examining SCF network topology. First, this study uses complex network theory to integrate an SEIR epidemic model (Susceptible–Exposed–Infectious–Recovered) into financial risk management. The model simulates how financial risks spread in supply chain finance (SCF) under banks’ strategic, tactical, or operational interventions. Then, some key points for financial risk control from the perspective of commercial banks are obtained by investigating the risk stability threshold of the financial network of SCF and its stability. Numerical simulations show that effective interventions—such as strengthening loan guarantees to reduce the number of exposed firms—significantly curb risk transmission by restricting its scope and shortening its duration. This research provides commercial banks with a quantitative framework to analyze risk propagation and actionable strategies to optimize SCF risk control, enhancing financial system stability and offering practical guidance for preventing systemic risks. Full article

As the primary force driving the sustainable development of the rural economy, the improvement of the total factor productivity (TFP) of agricultural enterprises (AEs) is of great strategic significance. This study innovatively zeroes in on AEs, leveraging micro-level data from agricultural listed companies in China’s A-share market spanning from 2007 to 2023. It aims to investigate the impact of supply chain finance (SCF) on the TFP of these enterprises and elucidate the underlying mechanisms. Uniquely, this study incorporates enterprise digital transformation and innovation capability as moderating variables into the mechanism analysis framework. Furthermore, it examines the heterogeneous effects across different characteristics of AEs. The findings reveal that SCF significantly boosts the TFP of AEs. Specifically, a one-standard-deviation increase in the level of SCF is associated with a 0.2658% increase in TFP relative to the mean. This conclusion holds robustly across various tests. Moreover, the interaction terms of SCF with both enterprise digital transformation and innovation capability are significantly positive. This indicates that greater digital transformation and stronger innovation capability amplify the positive effect of SCF on TFP. The heterogeneous analysis further indicates that for AEs with highly optimized human capital, higher financing constraints, and more efficient credit resource allocation, the positive impact of SCF on TFP is particularly pronounced. Full article

Digitalization and Industry 4.0 are transforming supply chain operations worldwide. However, traditional supply chain finance (SCF) practices often overlook sustainability. This study explores how SCF, supported by Industry 4.0 technologies, can enhance supply chain sustainability by integrating the Environmental, Social, and Governance (ESG) principles. By examining five real-world cases using a qualitative case study approach, we develop a conceptual framework that captures the roles and interrelationships among key actors in sustainable supply chain finance (SSCF). This study employed cognitive mapping to visually synthesize these complex processes. The findings reveal that innovative technologies, stakeholder engagement, and targeted financial incentives can drive sustainable improvements across supply chains. The insights from this research offer valuable guidance for practitioners and policymakers and provide a foundation for future empirical studies. Full article

Supply chain finance (SCF) operations require extensive activities and a high level of information transparency, making them vulnerable to operational issues that pose significant risks of financial loss for commercial banks. Accurately assessing operational risks is crucial for ensuring market stability. This research aims to provide a reliable operational risk assessment tool for commercial banks’ SCF businesses and to deeply examine the features of operational risk events. To achieve these goals, the study explores the dependency structure of risk cells and proposes a quantitative measurement framework for operational risk in SCF. The loss distribution analysis (LDA) is improved to align with the marginal loss distribution of segmented operational risks at both high and low frequencies. A tailored copula function is developed to capture the dependency structure between various risk cells, and the Monte Carlo algorithm is utilized to compute operational risk values. An empirical investigation is conducted using SCF loss data from commercial banks, creating a comprehensive database documenting over 400 entries of SCF loss events from 2012 to 2022. This database is analyzed to identify behaviors, trends, frequencies, and the severity of loss events. The results indicate that fraud risk and compliance risk are the primary sources of operational risks in SCF. The proposed approach is validated through backtesting, revealing a value at risk of CNY 179.3 million and an expected shortfall of CNY 204.9 million at the 99.9% significance level. This study pioneers the measurement of SCF operational risk, offering a comprehensive view of operational risks in SCF and providing an effective risk management tool for financial institutions and policymakers. Full article

Small and medium-sized enterprises (SMEs) play a critical role in promoting the development of China’s real economy and improving national productivity, but their financing still faces challenges. In recent years, supply chain finance (SCF) has become one of the most important solutions to SMEs’ financing difficulties. Promoting the digital and innovative development of SCF can better meet the financing needs of SMEs. This study is based on a case study of Zhejiang MYbank Co., Ltd. (MYbank) in Hangzhou, China, which is a representative institution of digital supply chain finance development in China and committed to realizing the digital innovation development of SCF. Based on MYbank’s financial index data from 2018 to 2022, the implementation effect of MYbank’s digital supply chain finance is quantitatively analyzed from the perspectives of SMEs and MYbank. The main findings are as follows.(1) In the practice of digital supply chain finance, MYbank implements the new concepts of SCF decentralization and full coverage of supply chain links while enhancing the sustainability of SCF. (2) For SMEs, MYbank’s digital supply chain finance development has led to an increase in the financing scale and financing availability of SMEs. (3) The analysis of MYbank’s comprehensive benefits shows that the digital innovation development of SCF effectively increased the overall economic value of the enterprise during the period of 2018–2022. Based on these findings, this study provides implications for commercial banks and other financial institutions to develop digital supply chain finance. Full article

The rapid development of supply chain finance (SCF) has significantly alleviated the financing difficulties of small and medium-sized enterprises (SMEs). However, it is important to recognize that within the accounts receivable financing segment of the SCF credit market, the credit risk associated with SMEs poses a serious challenge and potential threat to the stability, health, and sustainable development of the SCF system. This paper pays special attention to the stability of the two-party evolutionary game between SMEs and financial institutions (FIs) within the context of the Chinese SCF credit market. To identify a pathway to reduce credit risks for SMEs while simultaneously enhancing system stability, this paper adopts the stochastic evolutionary game (SEG) model and combines the fixed-point method to determine the conditions that satisfy the stability of the system’s index p mean square of the system. This study has made attempts in various aspects, such as the innovative construction and investigation of a nonlinear SEG model, the endeavor to study the stability of SEG systems using fixed-point methods, and the innovative construction of a more realistic two-player SEG system. The data and simulation results generated from hypothetical scenarios show that the conclusions of the article are credible and feasible. Through the study, we conclude that the higher credit ratio from FI and the higher penalty intensity from core enterprises (CEs) will accelerate the stability of the system. Based on solid data and modeling analysis, insights into the regulation of FI are provided. Full article

As opposed to developed markets, financing constraints are a more pressing issue among Small and Medium-Sized Enterprises (SMEs) in emerging markets. We explore the severity of financing constraints on SMEs, and examine the role of supply chain finance (SCF) in alleviating those constraints, with the focus on a large emerging market: China. Using the panel data of SMEs listed on Shenzhen Stock Exchange from 2014 to 2020, we employ robust estimations of panel-corrected standard errors (PCSEs) and robust fixed-effects methods to analyze the issue. Our cash–cash-flow sensitivity model points out that listed SMEs in China show significant cash–cash-flow sensitivity, and financing constraints are prevalent. We document that the development of SCF has a mitigation effect on the financing constraints on the SMEs. Our robustness test with Yohai’s MM-estimator is also supportive of the main finding. Our study indicates the importance of supply chain finance development in alleviating the financing constraints on SMEs and, subsequently, supporting their sustainability journey. Overall, our findings have important policy implications for the stakeholders involved in emerging markets, and there are lessons to be learned from the Chinese experience. There is still much to be explored in the nexus of SCF and the financing difficulties of SMEs in China at present, with much of the extant literature concentrating only on specific financing mechanisms. Thus, our study fills the gap by providing a broad and comprehensive analysis of the issue. Full article

Digital Inclusive Finance (DIF) is a novel approach that employs digital technology to foster the development of inclusive finance, which can effectively alleviate the financing constraints of enterprises. This paper empirically tests the relationship between DIF and the financial performance of construction enterprises, with a focus of supply chain finance (SCF). The findings indicate that DIF can enhance the financial performance of construction enterprises, and SCF is one of the mechanisms through which DIF affects the financial performance of construction enterprises. Moreover, the cross-sectional analysis reveals that the impact of DIF on financial performance is more pronounced in firms with characteristics of private capital-holding and high operating pressure. This study not only enriches the research perspectives of DIF, but also provides valuable insights for policymakers to formulate effective policies. Full article

SCF (Supply Chain Finance), as an emerging technology-driven financial optimization approach, has grown quickly worldwide with the development of information technology. China is one noteworthy country influenced by SCF development; its traditional financial market structure dominated by banks is undergoing change. The E-commerce-centered SCF has evolved into the representative capital provider in the new financial “Blue Ocean” market. For capturing competitiveness, Chinese JD (Jingdong) SCF practice backed to JD E-commerce is a typical example involving business model innovations, but with few previous related studies on this aspect. Therefore, to fill the research gap, this paper introduces a hybrid theoretical analysis of the BMC (Business Model Canvas) considering a three-layer strategic innovation structure and financial analysis regarding a modified competitive advantages-gaining model to comprehensively explore the recent innovative development and transformation of JD SCF business based on the perspective of competitive advantages. This study identifies JD SCF’s two times of business model innovations that benefit from its sustainable development; verifies that “cost”, “differentiation”, and “focused strategy” are three means for JD SCF practice gaining competitiveness at different development stages and simultaneously emphasizes that the latter two are influenced by business model innovation. The mixed analysis work in this paper may contribute both theoretical and practical implications. Full article

Under the background of carbon peaking and carbon neutrality, green supply chain finance (GSCF) points out the sustainable development direction of supply chain finance (SCF). In order to study the mutual influence of GSCF participants’ decision-making and the effectiveness of government promotion, this paper builds an evolutionary game (EG) model that consist of “governments, financial institutions (FIs), core enterprises (CEs) and small- and medium-sized enterprises (SMEs)”, discusses the stability of strategy selection, and uses MATLAB to conduct numerical simulations. The research results show that: (1) Government’s participation can effectively promote the sustainable development of SCF; (2) In order to maximize incentives for FIs to carry out a GSCF business, large penalties for non-loan and subsidies similar to the income difference between traditional commercial loans and green loans (GL) should be implemented at the same time; (3) The stability of supply chain (SC) cooperation and reasonable risk compensation to CEs can promote its guarantee; (4) The increase in the expected profit of SC and the increase in the positive effect of GM in the industry are conducive to promoting GM in SMEs. Full article

Supply Chain Finance (SCF) is a new type of financing business carried out by commercial banks on the basis of supply chain management, which effectively promotes the healthy development of the supply chain. As the most typical mode of SCF, accounts receivable financing mode can use the part of accounts receivable occupying working capital for financing, which is widely used. In order to effectively manage the credit risk in the Supply Chain Finance and maintain the healthy operation of the supply chain, this paper proposes a supply chain financial credit risk prediction model based on PCA-GA-SVM. First, principal component analysis (PCA) is used to reduce the dimension of the original index system, and then genetic algorithm (GA) is used to optimize the parameters of support vector machine (SVM). Finally, the principal components selected by PCA are input into the GA-SVM model for training, and the final prediction model is established. The running results show that the prediction performance of PCA-GA-SVM model is better than that of SVM and GA-SVM models. It has a good generalization ability, which can be used as a reference for commercial banks to improve the credit risk management ability of Supply Chain Finance and is conducive to the sustainable development of supply chain finance business. Full article

Since the global financial crisis of 2008, research on supply chain finance (SCF) based on supply chain management (SCM) has increased rapidly. The context of SCF development is continuously changing, which means that it cannot function in isolation and financial ecology must be taken into consideration. Previous research has shown that comprehensive SCF studies incorporating financial ecology are lacking; although it was mentioned, it was at a descriptive level with fragmented dimensions, limiting the broader understanding of SCF. Therefore, to address this research gap and reveal future study prospects, we conducted a systematic literature search, focusing on 132 selected papers published between 2002 and February 2022. The present study provides insights into the development stages of SCF, and the understanding of ‘Supply Chain’ and ‘Finance’ in the context of the financial ecosystem. This study reiterates the necessity of studying SCF from a financial ecology perspective and contributes to the SCF ecosystem understanding framework, bridging the theoretical inadequacies in investigating SCF. Full article

The emerging blockchain technology is believed to be a disruptive innovation in the fields of both supply chain management and financial management. Yet, little is known on the interaction of the two domains. In this paper, we conducted a thematic literature review in the novel field of blockchain and supply chain finance (SCF), which is based on 52 papers published from 2017 to 2021 in academic journals, proceedings and books. Based on thematic analysis, the current status of this field is concluded and presented in this research, including the challenges in traditional SCF, factors influencing blockchain adoption in SCF, blockchain-based SCF solutions, and the blockchain adoption mechanism and system design in SCF. Furthermore, a conceptual framework of blockchain adoption in SCF is developed, which combines the emerged themes. Finally, three future research directions are proposed for further research, including cost optimization of blockchain adoption in SCF, risk management of blockchain operations in SCF, and blockchain and sustainable SCF. This research presents a timely and useful summary on existing research and points out the future research directions on blockchain and SCF. Full article

Assets such as warehouse receipts are important for enterprises, which can be used to pledge in supply chain finance (SCF). However, traditional pledges are performed manually, which inevitably encounters inefficiency and security problems such as multiple pledges. To improve asset security, we propose a blockchain-based digital asset platform (BDAP) with multi-party certification. BDAP not only has a security protocol based on the threshold ECDSA algorithm to make related participants confirm the authenticity of assets but also embeds a Verifiable Byzantine Fault Tolerant (VBFT) mechanism, randomly selecting the consensus nodes and improving the safety of the nodes. Moreover, data stored on the blockchain makes traceability possible. Through a set of experiments, we have verified the functionality and performance of BDAP. When the pressure test reaches 100 concurrent user volume, BDAP’s average response time is 1.441 s, showing a high ability to process transactions. However, now just a few open-minded banks are willing to access BDAP, it might take a long time to change the traditional perception of the participants in supply chain finance. Full article