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.

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.

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 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.

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.

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.

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.

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.

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.

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.

基于SCF的多任务委托代理激励机制

基于供应链金融,结合多任务委托代理模型,研究了制造商对供应商的线性激励。比较分析了不同信息状况下,各影响因素对激励强度、制造商期望收益的影响;讨论了不同信息条件下,供应链金融应收账款融资业务正常运行应达到的最优努力水平。研究发现:当信息对称时,通过设计合理的线性激励合同,制造商可以使供应商实现最优努力水平。当信息不对称时,制造商的期望收益与供应商的努力投入影响程度存在正相关关系,与供应商的成本系数、风险规避度存在负相关关系;且激励份额与供应商的风险规避度存在负相关关系。

The Coordination Mechanism of Supply Chain Finance Based on Tripartite Game Theory

Supply chain finance(SCF) is concerned because of its service efficiency for the real economy. Beside the bank, some enterprises have provided the SCF service. E-commerce platform firms develop small and micro loan system in China. A given small enterprise can apply for a loan through its platform. Based on the latest SCF developments and the relevant literature, this study focuses on the coordination mechanism of SCF. We construct a game theory model including supplier, retailer and financial service provider to analyze the decision making of them. We find the optimal solution to the supplier, retailer and financial service provider.

The privacy protection mechanism of Hyperledger Fabric and its application in supply chain finance

Blockchain technology ensures that data is tamper-proof,traceable,and trustworthy.This article introduces a wellknown blockchain technology implementation—Hyperledger Fabric.The basic framework and privacy protection mechanisms of Hyperledger Fabric such as certificate authority,channel,Private Data Collection,etc.are described.As an example,a specific business scenario of supply chain finance is figured out.And accordingly,some design details about how to apply these privacy protection mechanisms are described.

Blockchain-driven supply chain finance solution for small and medium enterprises

Blockchain has attracted much attention in recent years with the development of cryptocurrency and digital assets.As the underlying technology of cryptocurrency,blockchain has numerous benefits,such as decentralization,collective maintenance,tamper-resistance,traceability,and anonymity.The potential of the blockchain technology(BT)is widely recognized in the financial field.Although some scholars have proposed the combination of blockchain and supply chain finance(SCF),the details of this combination is rarely mentioned.This study first analyzes the coupling between SCF and blockchain technology.Second,the conceptual framework of blockchain-driven SCF platform(BcSCFP)is presented.Third,the operation process of three SCF models on the BcSCFP is proposed.Finally,a case study combined with actual events is conducted.This paper has a positive practical significance in the operation and management of banks and loan enterprises.

Small and Medium-Sized Enterprises Closed-Loop Supply Chain Finance Risk Based on Evolutionary Game Theory and System Dynamics

After building a dynamic evolutionary game model, the essay studies the stability of the equilibrium in the game between the commercial banks and the closed-loop supply chain(CLSC) enterprises. By design of systematic mechanism based on system dynamics theory, capital chains of independent small and medium-sized enterprises(SMEs) on CLSC are organically linked together. Moreover, a comparative simulation is studied for the previous independent and post-design dependent systems. The study shows that with business expanding and market risk growing, the independent finance chains of SMEs on CLSC often take on a certain vulnerability, while the SMEs closed-loop supply chain finance system itself is with a strong rigidity and concerto.

The privacy protection mechanism of Hyperledger Fabric and its application in supply chain finance

Blockchain technology ensures that data is tamper-proof,traceable,and trustworthy.This article introduces a wellknown blockchain technology implementation—Hyperledger Fabric.The basic framework and privacy protection mechanisms of Hyperledger Fabric such as certificate authority,channel,Private Data Collection,etc.are described.As an example,a specific business scenario of supply chain finance is figured out.And accordingly,some design details about how to apply these privacy protection mechanisms are described.