A joint inventory–finance model for coordinating a capital‑constrained supply chain with financing limitations

Faced with economic recession,firms struggle to find ways to stay competitive and maintain market share.Effective coordination of the supply chain can solve this problem,but this may fail if existing capital constraints and financial flows are ignored.This study addresses the challenge by exploiting coordination through joint decision-making on the physical and financial flows of a capital-constrained supply chain.We also consider the capital-constrained member’s financing limitations that lead to lost sales.Two scenarios based on non-coordinated and coordinated structures are modeled in the form of bi-objective optimization problems that simultaneously optimize system costs and service levels.The models are solved using the -constraint method.The results indicate that the non-coordinated model cannot satisfy more than about 50%of the demand due to capital shortage and financing limitations,while the coordinated model can satisfy all of the demand via internal financing.Furthermore,the proposed coordination scheme leads to cost reduction for the members and the total system.To motivate all members to accept the proposed coordination scheme,a cost-sharing mechanism is applied to the coordination procedure.Finally,a sensitivity analysis concerning financial parameters is provided for validating the coordination model.

Trade credit financing for supply chain coordination under financial challenges:a multi‑leader–follower game approach

This study is designed to solve supply chain inefficiencies caused by some members’financial problems,such as capital shortages and financing restrictions in a stochastic environment.To this end,we have established a supply chain finance framework by designing two novel coordinating contracts based on trade credit financing for different problem settings.These contracts are modeled in the form of multi-leader Stackelberg games that address horizontal and vertical competition in a supply chain consisting of multiple suppliers and a financially constrained manufacturer.However,previous studies in the trade credit literature have addressed only simple vertical competition,that is,seller-buyer competition.To solve the proposed models,two algorithms were developed by combining population-based metaheuristics,the Nash-domination concept,and the Nikaido-Isoda function.The results demonstrate that the proposed supply chain finance framework can eliminate supply chain inefficiencies and make a large profit for suppliers,as well as the financially constrained manufacturer.Furthermore,the results of the contracts’analysis showed that if the manufacturer is required to settle its payments to suppliers before the end of the period,the trade credit contract cannot coordinate the supply chain because of a lack of incentive for suppliers.However,if the manufacturer is allowed to extend its payments to the end of the period,the proposed trade credit financing contract can coordinate the supply chain.Finally,the sensitivity analysis results indicate that the worse the financial status of the manufacturer,the more bargaining power suppliers have in determining the contract parameters for more profit.

Financing Decisions Analysis of E-commerce Supply Chain Finance for Fresh Agricultural Products in China

The supply chain finance(SCF)solutions are becoming increasingly diversified with the continuous perfection of the economic system.However,financing for small and medium sized enterprises(SMEs)is still a difficult issue waiting to be solved by enterprises and the government in China.SCF solutions based on e-commerce platforms have developed rapidly in China that provide an alternative for SMEs when few studies have been conducted on e-commerce SCF solutions which focus on fresh agricultural products.Therefore,this research focuses on the SCF solutions applicable to e-commerce enterprises of fresh agricultural products.

Research on the High-Quality Development of Agricultural Supply Chain Financial Ecosystem Empowered by Science and Technology

A systematic perspective on agricultural supply chain finance can offer fresh insights into its development.The high-quality development of the agricultural supply chain finance ecosystem is crucial for the comprehensive revitalization of rural areas and the realization of agricultural power.Based on the current state of development of this ecosystem,this paper identifies several bottlenecks,such as insufficient policy and technical support in the macro-environment system,weak incentives for independent circulation within the industrial environment system,and inadequate motivation for stakeholders to participate in the micro-environment system.To address these issues,this paper proposes that the visualization,digitalization,and authenticity characteristics of the“blockchain+Internet of Things”technology architecture can effectively resolve these bottlenecks.Additionally,targeted strategies are suggested to promote the high-quality development of the agricultural supply chain finance ecosystem.

Financing strategies for coal-electricity supply chain under yield uncertainty

The financing strategies for a coal-electricity supply chain in which the coal company has capital constraint and faces yield uncertainty were studied. We propose an advance payment mechanism: in the coal company's initial production period, the electricity company provides advance payment to the coal company, and the coal company pays interest to the electricity company as the risk compensation. The optimal operation strategies for the coal company and the electricity company under the advance payment mechanism are derived and compared with those under the bank loan financing case. We find that,the expected profit functions of the coal company and the electricity company under the advance payment mechanism are the same with those under the case that the coal company has enough capital;under the advance payment mechanism, the profits of the coal company and the electricity company are higher than those under the bank financing case. We also discuss the compensation interest rate of the advance payment and the ordering and production quantities under the advance payment mechanism.

Financing Strategy of Low-Carbon Supply Chain with Capital Constraint under Cap-and-Trade Regulation

Cap-and-trade regulation provides incentives for manufacturers to reduce carbon emissions,but manufacturers’insufficient capital can disrupt the implementation of low-carbon emission reduction technologies.To alleviate capital constraints,manufacturers can adopt external financing for low-carbon emission reduction investments.This paper studies the independent financing and financing cooperation behavior in a supply chain in which the manufacturer and retailer first implement low-carbon emission reduction technologies and then organize production and sales in accordance with wholesale price contracts.Through comparing the optimal profits and low-carbon emission reduction levels under the independent financing and financing cooperation mode,we come to the following conclusions:(1)Although financing interest increases the cost of the supply chain,manufacturers prefer to invest in reducing carbon emissions rather than buying carbon quotas.(2)When financing independently,a decentralized decision-making mode(MD)is the best choice for manufacturers.(3)In cooperative financing,when the supply chain adopts a decentralized decision-making mode(SD)in which the retailer determines the financing cost-sharing ratio according to their optimal profit,the profits of the supply chain and its members are significantly improved.(4)When manufacturers and retailers adopt a centralized decision-making model(SC)in cooperative financing,they jointly determine the financing cost-sharing ratio and the level of low-carbon emission reduction.If the financing cost-sharing ratio meets a certain threshold range,the profits of manufacturers and retailers achieve Pareto improvement,indicating that this cooperative financing model is effective.

China rural financial different demands and hierarchical supply behaviors ——Model analysis from the perspective of mechanism design theory

Based on the ideas and framework of Mechanism Design Theory, the paper establishes model analysis on the differences rural financial demands and the choices of hierarchical supply behaviors, studies the relevant variables constraints choices on the rural financial supply and demand behavior, and thus presents a further improvement of the rural financial market variables, promotes the matching efficiency behavior selection between rural financial supply and demand, improves efficiency of the rural financial markets, strengthens financial supports for agriculture, rural areas and farmers.

A blockchain and IoT-based lightweight framework for enabling information transparency in supply chain finance

Supply Chain Finance(SCF)refers to the financial service in which banks rely on core enterprises to manage the capital flow and logistics of upstream and downstream enterprises.SCF adopts a self-testing and closed-loop credit model to control funds and risks.The key factor in a successful SCF service is the deployment of SCF businessoriented information systems that allow businesses to form partnerships efficiently and expedite cash flows throughout the supply chain.Blockchain Technology(BCT),featuring decentralization,tamper-proofing,traceability,which is usually paired with the Internet of Things(IoT)in real-world contexts,has been widely adopted in the field of finance and is perfectly positioned to facilitate innovative collaborations among participants in supply chain networks.In this paper,we propose a BCT and IoT-based information management framework(named BC4Regu),which works as the regulatory to improve the information transparency in the business process of SCF.With BC4Regu,the operation cost of the whole supply chain can be significantly reduced through the coordination and integration of capital flow,information flow,logistics and trade flow in the supply chain.The contributions in this paper include:(1)proposing a novel information management framework which leverages Blockchain and IoT to solve the problem of information asymmetry in the trade of SCF;(2)proposing the technical design of BC4Regu,including the Blockchain infrastructure,distributed ledger-based integrated data flow service,and reshaped SCF process;and(3)applying BC4Regu to a group of scenarios and conducting theoretical analysis by introducing the principal-agent model to validate the BC4Regu.

Supply Chain Finance Credit Risk Evaluation Method Based on Self-Adaption Weight

Credit risk is the core issue of supply chain finance. In the supply chain, problems happened in different enterprises can influent the whole to different degrees through transferring, thus statuses of all enterprises and their different influences should be considered when evaluating the supply chain’s credit risk. We examine the characters of supply chain network and complex network, use the local growing complex network to simulate the real supply chain, use cluster analysis to classify the company into several levels;Introducing each level’s self-adaption weight formula according to the company’s quantity and degrees of this level and use the weight to improve the credit evaluation method. The research results indicate that complex network can be used to simulate the supply chain. The credit risk evaluation (CRE) of an enterprise level with bigger note degrees has a greater weight in the supply chain system’s CRE, thus has greater effect on the whole chain. Considering different influences of different enterprise levels can improve credit risk evaluation method’s sensitivity.

Supply Chain Finance Decision Analysis with a Partial Credit Guarantee Contract

The innovation of supply chain financial services can alleviate the plight of SMEs financing difficulties. In the aspect of supply chain finance model, there is a credit guarantee financing model, which is different from the simple external financing and internal financing mode of supply chain. Based on this, this paper studies the decision-making of supply chain finance under the partial credit guarantee of core enterprises. First of all, the paper constructs a simple supply chain financing model, consisting of a bank, a core enterprise and a retailer. And then, considering the credit guarantee financing model, calculate the expected profit function. Stackelberg game model is used to give the optimal decision of each subject in decentralized system and the optimal decision in centralized system. Finally, in order to make a more specific and detailed study on the profit and decision-making based on the credit guarantee financing model, the important parameters of the model are analyzed. Through the calculation, it is proved that under the credit guarantee of the core enterprise, the retailer has the optimal ordering strategy, and the core enterprise has the best wholesale price. The influences of the partial credit guarantee coefficient and the retailer’s loan coefficient on the supply chain finance decision-making are also studied.

Risk Assessment of Agricultural Products Supply-Chain Finance Based on D-S Theory

Agricultural products supply-chain finance, as one of the solutions to the issue of “capital problems” of agriculture, countryside and farmers, has proposed a kind of characteristics model to assess the risk of agricultural production, processing and marketing, which can improve the issue of farmers and enterprises lacking of funds. This model is proposed on the basis of uncertain information processing method of D-S theory and its data combination rules, combined with the “discount rate” correction model, and it includes a risk assessment index system of agricultural products supply-chain finance, fully considering the five aspects of production, processing, marketing, cooperation of supply chain and collateral. At last, a taro supply chain is taken for example. And the risk assessment of its supply-chain finance based on this model has been discussed in detail. And the result has proved that the model and its algorithm are practical and feasible.

Farmers' Cooperatives'Poverty-Reducing Roles in Agricultural Supply Chain Finance

Agricultural supply chain finance(SCF)plays a vital role in reducing poverty and linking smallholders with broader markets.By creating a multi-dimensional poverty index(MPI)for farmer households with A-F binary boundary method,this paper employs the propensity score matching and difference-in-difference(PSM-DID)method to estimate how farmers’cooperatives run by various entities affect farmer households’multi-dimensional poverty status.Our findings suggest that:(i)Each percentage of increase in the probability of farmers’access to SCF credit from their cooperatives makes it 8%and 10%more likely for farmers’MPI and multi-dimensional poverty order to decrease with a signi ficant poverty-reducing effect.(2)SCF credit from farmers’cooperatives run by large farmers,agribusinesses and the village cadres are signi ficantly poverty-reducing for full-time poor farmers.(iii)The higher non-farm incomes as a share of farmers’total income,the less poverty-reducing SCF credit from farmers’cooperatives run by large farmers and villagers becomes,and the more poverty-reducing SCF credit for agribusiness everyone cooperatives becomes.These findings highlight the importance of policy guidance for farmers’cooperatives to offer appropriate credit products and solutions according to local conditions,which is vital to maximizing the effects of targeted financial poverty reduction.

Development of Supply Chain Finance, Financial Constraints and Cash Flow Sensitivity

This paper used the Chinese listing Corporation financial data （2003-2013） to study the relationship between the supply chain finance development, SME financing constraints and cash flow. The study found that the small and medium-sized enterprise has obvious cash flow sensitivity, explaining it is subjected to the larger financing constraints. The development of supply chain finance can alleviate the financing constraints of SMEs, but for large enterprises it is unable to play a corresponding role.

Research on Application of Supply Chain Finance Based on Block Chain

Supply chain finance has played a positive role in solving the financing difficulties of small and medium-sized enterprises.However,in the actual implementation process,there are still problems such as information asymmetry,doubts about the authenticity of trade background,and high operational risks,which seriously restrict the development of supply chain finance.However,block chain technology has the characteristics of de-centralization,data transparency,common maintenance and non-tampering.Applying this technology to supply chain finance can effectively solve the existing problems.Based on the research on the development status of traditional supply chain finance,this paper puts forward a new development mode of supply chain finance based on block chain technology,and through the analysis of typical cases,finally gives some policy suggestions for the development of block chain supply chain finance.

Analyzing Factors Contributing to Farmers' Willingness to Participate in Rural Cooperative Finance Organizations

It has been commonly recognized that the cooperative finance organizations in China's rural areas have been playing an important role in spreading farm production risks, increasing farmers' income, as well as stimulating the overall rural economic growth. This paper attempted to identify the key factors which potentially contributed to the farmers' willingness to participate in the new-form of the rural cooperative finance organizations sponsored by the Chinese governments. In the process, a total of 442 farmer households as well as small-micro farming enterprises were sampled from the villages in Panjin municipality of Liaoning Province in China, where the new form of the rural cooperative finance organization(NFRCFO) experiment was under way. Those potential factors were classified into the four categories, including the characteristics of the famer households, the reputation of the rural finance cooperatives, transaction costs paid, as well as service quality. A discrete Logit model was used for parameter estimations. The results showed that most of the factors being considered exhibited statistically significant effects on the farmers' willingness to take part in NFRCFO, but with each presenting different levels of impacts. The causes and effects for those uncovered empirical results were fully discussed following by policy implication discussion.

Financial Coordination and Income Distribution of Agricultural Supply Chain

The agriculture field is a fundamental industry which supports the rapid development of the nation?s economy.However,credit constraints faced by farmers have restricted the modernization in the agricultural industry.The agricultural supply chain finance is effective in promoting rural industrial revitalization and agricultural modernization,which is of great significance to the transformation and development of rural economy and agriculture in China.In this paper,the financial coordination model in agricultural supply chain is constructed,and the income distribution model of Shapley value method is introduced.The results showed that the agricultural supply chain finance can significantly improve the income of the participants in the agricultural industrial chain and verify the economic feasibility of agricultural supply chain finance.

金融科技赋能下供应链金融对企业价值的影响

发展供应链金融对于深化金融供给侧结构性改革,增强金融服务实体经济具有不容忽视的重要战略意义.本文通过对2007年-2019年中国A股上市公司全部320.8万篇公告的文本数据信息进行收集整理,实证检验了上市公司发展供应链金融业务对企业价值的影响.研究结果表明:发展供应链金融在短期可以促进企业股价的上涨,在长期可以促进企业价值的提升,并且上市公司采用的供应链金融业务越多,公告中提到供应链金融词汇越频繁,这种提升效果越显著.发展供应链金融业务可以通过信号传递效应、风险承担效应、系统管理效应促进企业价值提高.在供应链金融相关公告中提到金融科技词汇的词频越高,上市公司获得的企业价值提升效果越强.金融科技可以为股票流动性较低、风险承担较弱的企业发展供应链金融业务起到更强的赋能效果.在进行一系列稳健性检验之后,上述结论依然成立.本文不仅为中国公司发展供应链金融业务提高企业价值,提供了基于公开市场数据大样本的实证证据,也对国家和地方政府支持供应链金融的发展具有现实启示。

数字普惠金融对农村相对贫困的影响

基于2011—2022年北京大学数字普惠金融指数等经验数据实证检验了数字普惠金融对农村相对贫困的影响效果、机制与异质性。研究结果表明,数字普惠金融显著缓解了农村相对贫困;进一步通过变更系统GMM估计方法、替换变量处理以及样本期间波动性问题处理等方式进行检验,研究结论依然稳健;机制分析表明,数字普惠金融通过显著增加信贷规模、改善信贷结构和提高信贷质量等信贷供给机制缓解农村相对贫困,还通过显著促进创新创业缓解农村相对贫困;异质性分析表明,在非农经济比重较高、经营性收入占比较高和受教育程度较高的省份,且在数字普惠金融覆盖率、使用深度和数字化程度较高的组别,数字普惠金融的农村相对贫困缓解效应更为显著。

区块链在供应链金融的应用研究

供应链金融发展已有很多年,但仍不能满足中小企业和实体经济发展的需求。传统供应链金融存在诸多痛点,包括:交易真实性难以辨别、监管成本高;远离核心企业的中小微企业融资难融资贵;金融机构业务覆盖面窄;供应链产业链生态不稳,核心企业供应链管理亟待提升等。区块链是一种去中心化技术,易溯源难篡改,适用于多个交易方需要高度互信的业务场景,天然适合解决供应链金融的痛点。基于问题导向,将区块链在供应链金融的应用称为“区块链+供应链金融”,研究了区块链技术解决供应链金融发展痛点的应用模式,对供应链金融应用区块链技术的典型案例进行了深入分析,阐明了区块链在供应链金融中的功能和作用。研究表明,“区块链+供应链金融”能有效缓解中小微企业融资难融资贵问题,对发挥供应链金融生态的协同效应、服务实体经济高质量发展具有重要意义。

基于产品质量差异的资金约束制造商最优融资决策研究

本文研究了资金约束制造商在线上线下双渠道中分别销售两种不同质量水平的产品时的最优融资决策,其中制造商可以通过电商平台融资和零售商融资两种方式来缓解资金压力。本文建立了两种融资模式下的Stackelberg博弈模型,得到了制造商与零售商的最优定价决策以及融资利率和双渠道中的产品质量差异对均衡决策的影响;对比分析了两种融资模式下的价格、销量以及供应链各成员企业的利润差异。结果表明融资利率的上升会带来双渠道定价的上升,但不一定会加剧双渠道间的价格竞争。制造商的最优融资决策同时受融资利率、消费者对产品质量的敏感程度以及双渠道产品质量差异的影响。当电商平台融资和零售商融资利率相同且消费者对产品质量的敏感程度较低时,制造商会选择零售商融资,并在零售商处销售高质量产品;当消费者对产品质量的敏感程度较高且双渠道产品质量差异较大时,制造商则会选择电商平台融资并在电商平台投放高质量产品。