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Today, the editor brings the "
Research on Evolutionary Game and Countermeasures of
Tripartite strategy Selection of Agricultural Supply Chain
Finance Based on Blockchain".
Welcome to visit！
1 内容摘要（Content summary）
Today, the editor will interpret and share the mechanism analysis part of the article "Research on the Evolutionary Game and Countermeasures of Tripartite Strategy Selection of Agricultural Supply Chain Finance Based on Blockchain" from the three sections of "Mind Map, Intensive Reading Content, and Knowledge Supplement".
Today, I will share the mechanism analysis part of the article “Evolutionary Game and Countermeasure Research on Blockchain-Based Agricultural Supply Chain Finance Tripartite Strategy Selection” from the three sections of “Thinking Guide, Intensive Reading, and Knowledge Supplementation”.
2 思维导图（Mind mapping）
3 精读内容（Intensive reading content）
3.1 Overview of the operation mode of traditional agricultural supply chain finance
3.1 Overview of Traditional Agricultural Supply Chain Finance Operation Models
(1) "Core agricultural enterprises + farmers + financial institutions" model: This model relies on core agricultural enterprises as a bridge to connect farmers and financial institutions, using the expected sales income of agricultural products as loan collateral, and the core enterprises are responsible for capital supervision, guarantee and agricultural product sales at the same time, aiming to diversify loan risks, broaden farmers' sales paths, and achieve the dual goals of financing and market expansion.
(1) The “core agricultural enterprise + farmers + financial institutions” model: this model relies on the core agricultural enterprise as a bridge to connect farmers and financial institutions, using the expected income from the sale of agricultural products as collateral for the loan, with the core enterprise being responsible for the supervision of funds, guarantees and the sale of agricultural products at the same time, with the aim of dispersing the risk of the loan and broadening the sales path of the farmers, so as to realize the dual goals of financing and market expansion. It aims to diversify loan risks, broaden farmers' sales paths, and realize the dual goals of financing and market expansion.
(2) "Core Agricultural Enterprises + Agricultural Parks + Farmers + Financial Institutions" model: On this basis, agricultural parks are added as regulatory service platforms, and production and sales supervision, technology transfer and product flow control are strengthened through formal agreements, so as to further improve the security of loans and deepen cooperation to reduce the overall risk of supply chain finance.
(2) “Core Agricultural Enterprise + Agricultural Park + Farmers + Financial Institutions” model: on this basis, the Agricultural Park is added as a supervisory service platform, and the production and sales supervision, technology transfer and product flow control are strengthened through the formal agreement to further enhance the security of the loan, and to deepen the cooperation in order to reduce the overall risk of supply chain finance.
(3) "Core Agricultural Enterprises + Agricultural Production Cooperatives + Farmers + Financial Institutions" model: agricultural production cooperatives are introduced as a collection of rural households, and rural households cooperate in the form of land shares, and the four-party agreement ensures that cooperatives are the main body of loans, and core enterprises bear joint and several guarantee responsibilities to promote large-scale production and sales, and optimize risk management and profit distribution structure.
(3) “Core agribusiness + agricultural production cooperatives + farmers + financial institutions” model: the introduction of agricultural production cooperatives as a collection of farmers, with farmers cooperating in the form of land shares, a four-party agreement to ensure that the cooperative is the main body of the loan, and the core enterprise assumes joint and several guarantee responsibility, promoting large-scale production and sales, optimizing risk management and profit distribution structure. Optimizing risk management and profit distribution structure.
(4) Summary:
(4) Summary:
3.2 Roles and characteristics of the participants
3.2 Roles and Characteristics of Participating Subjects
Core agricultural enterprises: play a key role, have strong strength and high credibility, use advanced technology, have a wide range of market channels, and can effectively play a guarantee role in financial transactions.
Core agribusiness: plays a key role, is strong and highly credible, utilizes advanced technology, has extensive market access, and can effectively act as a guarantor in financial transactions.
Financial institutions: The capital supply side of agricultural supply chain finance faces the challenge of high cost of collecting information from farmers.
Financial institutions: the suppliers of capital for agricultural supply chain finance face the challenge of high costs of collecting information from farmers.
Agricultural cooperatives: Formed by farmers, with land as shares, limited by the level of knowledge and natural conditions, the ability to resist risks is weak, and it is difficult to obtain financing independently.
Agricultural cooperative organizations: they are composed of farmers with land as shares, and are limited by their knowledge and natural conditions, with a weak capacity to resist risks and difficulty in obtaining financing on their own.
3.3 Inherent risks in agricultural supply chain finance
3.3 Risks inherent in agricultural supply chain finance
Agricultural product risk: Affected by the stability of earnings due to fragmentation of production, experience constraints and market volatility.
Agricultural risk: arises from fragmented production, experience limitations and market volatility, affecting the stability of returns.
Legal risks: Contract design flaws and enforcement problems may lead to disputes and affect cooperation trust.
Legal risk: Contract design flaws and implementation problems may lead to disputes and affect trust in cooperation.
Credit risk: Default by a participant may result in losses and difficulties in repayment.
Credit risk: Participants' defaults may trigger losses and repayment difficulties.
Business Operational Risk: Operational errors in technology, product handling, pricing, and settlement can compromise the foundation of trust.
Business operations risk: Operational failures in technology, product processing, pricing and settlement can undermine the foundation of trust.
3.4 The coupling and strategic impact of blockchain and agricultural supply chain finance
3.4 Coupling of Blockchain and Agricultural Supply Chain Finance and Strategy Implications
(1) Compatibility analysis:
（1）Coupling analysis:
At the subject level: Blockchain technology promotes direct interaction between participants, reduces intermediate links, and improves cooperation efficiency.
Subject level: blockchain technology facilitates direct interaction among participating subjects, reduces intermediate links and improves the efficiency of cooperation.
Information level: The immutability of blockchain enhances data transparency, reduces information asymmetry, and improves the quality of decision-making.
Information level: blockchain's non-tamperability enhances data transparency, reduces information asymmetry and improves decision-making quality.
Reduced risk: Smart contracts are automatically executed to ensure compliance with contract terms and reduce the risk of default, while blockchain traceability helps agricultural product risk management and credit assessment.
Reducing the risk level: smart contracts are automatically executed to ensure compliance with the terms of the contract and reduce the risk of breach of contract, while the blockchain traceability function helps in risk management and credit assessment of agricultural products.
(2) Strategy selection analysis
（2）Strategy Selection Analysis
In view of the high coupling between blockchain and agricultural supply chain finance, the construction of a new blockchain-based model can significantly improve information asymmetry and encourage credit behavior. Core enterprises are more willing to provide guarantees due to the enhanced credit environment, financial institutions are more daring to lend in a transparent and low-risk environment, and agricultural production cooperatives are actively repaying loans in a transparent and efficient environment, forming a virtuous circle and ultimately promoting the healthy development of the entire agricultural supply chain finance.
Given the high degree of coupling between blockchain and agricultural supply chain finance, building a new model based on blockchain can significantly improve information asymmetry and encourage credit behavior. Core enterprises are more willing to provide guarantees due to the enhanced credit environment, financial institutions are more daring to lend in a transparent and low-risk environment, and agricultural production cooperatives are actively repaying their loans in a transparent and efficient environment, forming a virtuous cycle that ultimately promotes the healthy development of the entire agricultural supply chain finance.
4 知识补充（Knowledge supplement）
什么是耦合性？（What is coupling? ）
Coupling refers to the degree to which different modules or components are interdependent and related in the field of software engineering. This concept helps to assess the complexity of the internal structure of the system and the independence of the modules. Specifically, it measures how changes within one module affect the functionality of other modules. The system design pursues low coupling, that is, to maintain a small dependency between modules, so that each module can be developed, tested and updated independently without causing major interference to the whole system, which is conducive to improving the maintainability, testability and future scalability of the software. Conversely, in highly coupled systems, modules are tightly connected, and changes to any single module can ripple through many other modules, increasing maintenance difficulty and the risk of errors. Therefore, designing clear interfaces and following good programming practices and design principles is the key to achieving low coupling between modules and building a healthy software architecture.
Coupling is the degree to which different modules or components are dependent and related to each other in the field of software engineering. This concept helps assess the complexity of the internal structure of a system and the independence between modules. Specifically, it measures how changes within one module can affect the functionality of other modules. System design pursues low coupling, i.e., modules maintain small dependencies between them so that each module can be developed, tested, and updated independently without causing major disruptions to the overall system, which is conducive to improving the maintainability, testability, and future scalability of the software. On the contrary, modules in a highly coupled system are closely connected, and changes in any single module may affect many other modules, increasing the difficulty of maintenance and the risk of errors. Therefore, by designing clear interfaces and following good programming practices and design principles, it is crucial to realize low coupling between modules and build a healthy software architecture.
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Reference: ChatGPT
Bibliography:
XU Yi. Research on the evolutionary game and countermeasures of tripartite strategy choice of agricultural supply chain finance based on blockchain[D]. Jiangsu University of Science and Technology, 2022.
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