Evolutionary Game of Small and Medium-Sized Enterprises’ Accounts-Receivable Pledge Financing in the Supply Chain

Hu, Haiju; Li, Yakun; Tian, Mingliang; Cai, Xinjiang

doi:10.3390/systems10010021

Cited by 11 publications

(9 citation statements)

References 28 publications

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“…Meanwhile, there are some problems in accounts receivable financing, such as legal supervision, bank enterprise information asymmetry, etc [5]. e smooth implementation of accounts receivable financing of commercial banks needs to reduce the moral hazard of core enterprises and carry out dynamic risk monitoring of financing enterprises [6]. Because China is a large agricultural country, the development of agricultural industry is largely limited by the supply chain transportation industry.…”

Section: Introductionmentioning

confidence: 99%

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A K-Means Clustering Algorithm for Early Warning of Financial Risks in Agricultural Industry

Li¹,

Duan²

2022

Security and Communication Networks

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As the primary industry, agricultural industry is the basis of guaranteeing people’s basic life and national economic development. Agricultural industrial finance/financial is a weak link in the financial system, which seriously hinders the emergence of agricultural scale effect and the improvement in agricultural production efficiency. In order to find the financial risk of agricultural industry in time, this article proposes an agricultural industry financial risk early warning system based on improved K-means clustering algorithm. Because the traditional K-means algorithm is easy to fall into local optimization in the clustering process, the clustering effect is not reliable. In this article, the idea of immune cloning and particle swarm optimization location update is added to the grey wolf optimization algorithm. Grey wolf optimization algorithm and K-means algorithm are combined to solve the problem that K-means algorithm is easy to fall into local optimization. In the experimental part, through comparative verification, it can be found that the prediction performance of this system is superior to other models. Its practical application value is higher. Therefore, choosing this system for early warning of agricultural industry finance can effectively improve the accuracy of early warning and provide guarantee for the economic development of agricultural industry.

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Section: Introductionmentioning

confidence: 99%

“…6,1], the algorithm has better search performance and more accurate optimization results. When m is large, it has better global search ability.…”

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confidence: 99%

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A K-Means Clustering Algorithm for Early Warning of Financial Risks in Agricultural Industry

Li¹,

Duan²

2022

Security and Communication Networks

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“…In supply chain systems, channel coordination can be achieved by incentivizing aligned contracts. It is a great method to use the evolutionary game to analyze the relationship between the evolutionary strategies of supply chain members for channel coordination and the profit surplus distribution [47,48]. In summary, the above studies illustrate that evolutionary games have become a widely used approach to study supply chain issues.…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic Research on Three-Player Evolutionary Game in Waste Product Recycling Supply Chain System

Xie

Cheng

2022

Systems

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Recycling channel construction plays an important role in the development of closed-loop supply chains. In particular, the emergence of online recycling channels has made up for the shortcomings of traditional recycling channels with poor information and limited markets. This paper constructs an evolutionary game model to investigate the cooperation between manufacturers and e-commerce platforms with government intervention or not. The result shows that whether an enterprise actively participates in the cooperative recycling depends on the actual cost of establishing the cooperative recycling system. Additionally, the government support and supervision will affect the actual cost of cooperation. When the actual cost of establishing a collaborative recovery system is very large, under the influence of government interventions, there will be two kinds of evolutionary results for enterprises, either with cooperation or not at the same time. On the contrary, when the actual cost is small or medium, both manufacturers and the platforms will choose to cooperate. Thus, government participation in a cooperative recovery system is the best strategic option.

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“…Small and medium-sized enterprises have gradually become an important force in China's economic and social development in the process of economic development. How to create a good environment for the development of small and medium-sized enterprises has become an important issue to ensure the steady and rapid economic development and social stability (Hu et al, 2022). However, Chinese smes still face many obstacles in their development process, the most important of which is the difficulty of financing.…”

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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Evolutionary Game of Small and Medium-Sized Enterprises’ Accounts-Receivable Pledge Financing in the Supply Chain

Cited by 11 publications

References 28 publications

A K-Means Clustering Algorithm for Early Warning of Financial Risks in Agricultural Industry

A K-Means Clustering Algorithm for Early Warning of Financial Risks in Agricultural Industry

Dynamic Research on Three-Player Evolutionary Game in Waste Product Recycling Supply Chain System

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

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