Evolutionary Game Analysis of Blockchain Technology Preventing Supply Chain Financial Risks

Sun, Rui; He, Dayi; Su, Huilin

doi:10.3390/jtaer16070155

Cited by 41 publications

(26 citation statements)

References 22 publications

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“…Temperature is crucial to the quality and safety of fresh agricultural products in the cold chain, and for perishable products, real-time temperature information can be translated into a prediction of their remaining shelf-life, which can then be used to improve supply chain management [ 12 ]. In recent years, artificial neural networks have been gradually applied in the shelf-life prediction of aquatic products [ 13 ]. The advantage of artificial neural networks is that they can synthesize multiple indicators without considering the relationship between parameters to reduce systematic errors, and they improve the accuracy of prediction through continuous learning.…”

Section: Related Workmentioning

confidence: 99%

Blockchain-Based Neural Network Model for Agricultural Product Cold Chain Coordination

Gao

2022

Computational Intelligence and Neuroscience

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This paper adopts a blockchain fusion neural network algorithm to conduct an in-depth study on the model of agricultural cold chain coordination. We aim to enable HDFS to meet the demand of storing many small files of various types generated by various stages of agricultural cold chain coordination and then propose an improved balanced merging and index caching strategy based on file types and size grouping. The main three modules are the file preprocessing module, file balanced merging module, and index caching module. The experimental results show that this method can significantly improve the overall performance of HDFS when storing and reading large amounts of small files. Simulation experiments using the UCI test dataset show that the improved spectral clustering algorithm not only reduces the error rate but also significantly reduces the time spent on the clustering process, demonstrating the effectiveness and feasibility of the improved spectral clustering algorithm. The improved spectral clustering algorithm of this paper is used to cluster and analyze nearly one thousand cold chain coordination-related data, and the optimal city is successfully selected as the construction point of a large cold storage transit station. This study can effectively improve the efficiency of cold chain coordination resources and their time utilization and maximize the profit creation for cold chain coordination enterprises, selecting data features for prediction, experimenting with different models and parameters to optimize accuracy, and embedding the resulting learning system for prediction and further operations. The two models of coordination market demand forecasting models and methods are analyzed separately. Finally, after analyzing the prediction results of the two different prediction methods, it is found that it conforms to the actual situation of coordination development in Jiangxi Province. It shows that the coordination market prediction model established in this paper is meaningful and the prediction analysis made has some practical value.

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Section: Related Workmentioning

confidence: 99%

Blockchain-Based Neural Network Model for Agricultural Product Cold Chain Coordination

Gao

2022

Computational Intelligence and Neuroscience

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“…(2) Set up a special repayment account to supervise the repayment capital flow of the core enterprise. In the supply chain finance accounts receivable pledge financing business, the general loan contract will require the core enterprise to repay the accounts receivable into the account designated by the bank to serve the sub-business (He et al, 2021). So they have to bank for small and medium-sized enterprises with the core enterprises of both sides payment account of regulation, to be specified in the provisions in the contract to the outside of the core enterprise accounts for payment, otherwise the payment behavior invalid provision, and clearly told that the two sides, with the person this, prevent malicious fraud, reduce the probability of joint fraud for alpha, ensure the business smoothly.…”

Section: Strengthen Supervision Over Small and Medium-sized Enterprisesmentioning

confidence: 99%

“…However, Chinese smes still face many obstacles in their development process, the most important of which is the difficulty of financing. The financing problem of small and medium-sized enterprises has become the biggest obstacle to their sustainable and stable development and industrial transformation and upgrading (Sun, He & Su, 2021).…”

Section: Introductionmentioning

confidence: 99%

A Study on Evolution Game of Accounts Receivable Pledge Financing in Supply Chain Finance Model

Xia¹

2022

IBR

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In practice, due to information asymmetry and the bounded rationality of game participants, most of the actions taken by game participants are irrational. The evolutionary game theory is based on bounded rationality and looks at the adjustment process of group behavior through the perspective of system theory. Therefore, this paper will use the idea of evolutionary game to discuss the issue of SMEs' accounts receivable pledge financing under the supply chain finance model. This paper builds the model on the basis that both sides of the game are bounded rationality. In real life, the behavior of individuals tends to be more bounded rationality. By constructing an evolutionary game model under bounded rationality, we can see that the final evolution result between banks and loan companies is related to many factors. From the phase diagram of the evolutionary game, it can be seen that the area on both sides of the dotted line of the phase diagram is mainly determined by the profit matrix, but the direction of the final evolution is mainly determined by the initial state of the game.

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“…Liu et al (2022) and Zheng et al (2022) designed a blockchain‐based financial data management model and an enterprise information sharing model, respectively, to achieve credit information exchange in the supply chain investigation system. Sun et al (2021) constructed a two‐party accounts receivable evolutionary game model of the SME and the financial institution, and calculated the change scenarios of evolutionary stabilization strategies before and after applying blockchain technology, which is found to effectively mitigate the operational risk of financial institutions by maintaining credit defaults in a high‐risk state. Su et al (2022) analyzed the impact of blockchain technology on the stability strategies of a tripartite evolutionary game with financial institutions, core firms, and SMEs, and found that increases in the amount of default losses and receivables can reduce the default probability.…”

Section: Introductionmentioning

confidence: 99%

“…Although Wang et al (2019) and Lin and Peng (2021) examined this issue and emphasized on the illegal financing access of SMEs, the notion that a majority of supply chain finance risk exposure arises from the embezzlement of loans by financing firms and the operational risks of unauthorized discharge of pledge by supporting enterprises has been ignored. Sun et al (2021) and Su et al (2022) analyzed the role of blockchain on accounts receivable financing, but the features of the role of blockchain technology in inventory pledge financing require separate research since great differences exist in involved subjects and financing approaches. Considering that the inactivity of financial institutions may induce violations of logistics enterprises and SMEs, their excessive control will incur a reduction in profits.…”

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confidence: 99%

Evolutionary game analysis of rent seeking in inventory financing based on blockchain technology

Zhang

et al. 2023

Manage Decis Econ

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This study constructs a tripartite evolutionary game model composed of a small and medium‐sized enterprise (SME), a supervisory enterprise, and a bank for the inventory financing model. The effects of blockchain technology on rent seeking in supply chain finance are calculated with focuses on its mechanism and advantages in inventory financing from the theoretical perspective. The influence of the parameters on the evolutions is likewise determined. Results show that for high‐value financing business, compared with the traditional model, the bank's application of blockchain can accelerate the system to the stable state, in which the SME complies with the contract, the supervisor does not seek collusion, and the bank thoroughly investigates the relationships of enterprises, and the enhancement of blockchain's automatic monitoring capability does not lead to the bank's inaction on regulation. For low‐value financing business, in response to the problem of collusion between the SME and the supervisor for additional benefits in the traditional model, the bank can monitor fund transfers within enterprises and unauthorized pledge release through smart contracts embedded in the blockchain system to automatically detect joint defaults, and effectively avoid the negative stable state of the bank indulging in inter‐enterprise relations which triggers collusion to embezzle financing. In addition, the bank can enhance the robustness of inventory financing service and curb rent‐seeking behavior in the blockchain inventory financing through strict penalties on the supervisor for its violations, monitoring abnormal capital flows of the SME, confirming appropriate credit rate gap, and moderately raising the service value threshold.

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Evolutionary Game Analysis of Blockchain Technology Preventing Supply Chain Financial Risks

Cited by 41 publications

References 22 publications

Blockchain-Based Neural Network Model for Agricultural Product Cold Chain Coordination

Blockchain-Based Neural Network Model for Agricultural Product Cold Chain Coordination

A Study on Evolution Game of Accounts Receivable Pledge Financing in Supply Chain Finance Model

Evolutionary game analysis of rent seeking in inventory financing based on blockchain technology

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