Complexity analysis of a decision-making game concerning governments and heterogeneous agricultural enterprises with bounded rationality

Xi, Xuan; Zhang, Jixiang

doi:10.1016/j.chaos.2020.110220

Cited by 17 publications

(8 citation statements)

References 35 publications

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“…In the market economic environment, agricultural business enterprises are gradually emerging, which promote the development of the agricultural economy, and the real realization of modern agriculture also requires them to play a greater role [1][2][3]. Agricultural management enterprise is an enterprise integrating development, production, operation, and service.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment Method of Agricultural Management Investment Based on Genetic Neural Network

Zhao

2022

Security and Communication Networks

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At present, the economy has entered the new normal. In the environment of economic slowdown, agricultural operation and investment risk management is of great significance in investment activities. In order to avoid the related risks of the agricultural operation and investment, improve the stability of agricultural operation and investment risk assessment, and ensure the effect of the agricultural operation and investment risk assessment, an agricultural operation and investment risk assessment method based on genetic neural network is proposed. This method fully considers the global optimization capability of the genetic algorithm and optimizes the weights and thresholds of the BP neural network. According to the construction principle of the index system, from the perspective of systemic risk and nonsystematic risk, a risk assessment index system for agricultural business investment has been established. Based on the establishment of risk evaluation index system, using the genetic neural network method, the agricultural operation investment risk evaluation model is established to realize the agricultural operation investment risk evaluation. The experimental results show that the proposed method has a good effect on the risk assessment of the agricultural operation and investment and can effectively improve the stability of the risk assessment of agricultural operation and investment.

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Section: Introductionmentioning

confidence: 99%

Risk Assessment Method of Agricultural Management Investment Based on Genetic Neural Network

Zhao

2022

Security and Communication Networks

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“…Such as, Askar built a output iterative game model in which one company pursues profit maximization, another company pursues social utility maximization, and analyzed the complex dynamics of the model [15]. In the price competition model, Xi proved that the speed of price adjustment and the intensity of government subsidies could cause uncertainty, the impact intensity was less than the price adjustment speed [16]. Ma studied the complex characteristics of a dual-channel supply chain.…”

Section: The Complexity Of Dynamic Iterative Modelmentioning

confidence: 99%

“…Uncertainty and nonlinear are always present Puu [14]; Askar [15]; Xi [16]; Ma [17] Complex dynamics in the price (or output) game…”

Section: Equilibrium Is Infrequentmentioning

confidence: 99%

The complex evolution of information quality improvement in competitive market

Liu

2023

RAIRO-Oper. Res.

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Abstract. Information is important market resource. High-quality information is beneficial to increase enterprise’s reputation and reduce consumer’s verification cost. This paper constructs a two-layer dynamic model, in which enterprises simultaneously conduct price and information game. The goal of profit maximization integrates two types of games into one system. The complex evolution of the two-layer system are studied by equilibrium analysis, stability analysis, bifurcation diagram, entropy and Lyapunov exponent. It is found that improving the information quality through regulations will increase involution and reduce stability of the market. Then, the block chain technology is introduced into the model for improving information quality of the market. It is found that increasing enterprises’ willingness to adopt block chain can improve the information quality quickly and effectively, and that is verified by entropy value. Therefore, the application and promotion of new technologies are more effective than exogenous regulations for improving information quality in market .

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“…We show the simulation analysis of the system (30) in Figure 16, and the parameter settings are the same the simulation parameters of the system (30). We can get from Figure 16 that the delayed feedback method can not effectively control the two nonlinear systems in this paper.…”

Section: Chaos Controlmentioning

confidence: 99%

“…e dynamic game of bounded rational players has always been the focus of many types of research, focusing on Bertrand's duopoly game [27][28][29] and Cournot's game [30][31][32]. e literature [33] studied the dynamic price game model of a dual-channel green supply chain, considering the innovative investment of enterprises in green products and channel services.…”

Section: Introductionmentioning

confidence: 99%

Research on Dynamic and Complexity of Duopoly Price Strategies between Low‐Carbon and Nonlow‐Carbon Products under Cap‐and‐Trade Policies

Zhang

Zheng

2021

Complexity

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This paper studies the complexity of the pricing system for the production of low-carbon and nonlow-carbon products in a market composed of duopoly manufacturers under the cap-and-trade policies. Through nonlinear system theory and numerical derivation and simulation, it considers the influence of different market power structures, carbon trading prices, consumer environmental awareness, and other factors on price decisions, carbon emission decisions, profits, and system stability. The influence of price adjustment parameters and unit product carbon emission decision adjustment parameters on the complexity of the pricing system under different market power structures is analyzed. And, it was found that compared with the variable feedback chaos control method, the parameter adjustment chaos control method is more effective in controlling the pricing system in this paper. Our research provides management implications for market competition and operational decision-making for low-carbon and nonlow-carbon products.

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Complexity analysis of a decision-making game concerning governments and heterogeneous agricultural enterprises with bounded rationality

Cited by 17 publications

References 35 publications

Risk Assessment Method of Agricultural Management Investment Based on Genetic Neural Network

Risk Assessment Method of Agricultural Management Investment Based on Genetic Neural Network

The complex evolution of information quality improvement in competitive market

Research on Dynamic and Complexity of Duopoly Price Strategies between Low‐Carbon and Nonlow‐Carbon Products under Cap‐and‐Trade Policies

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