scholarly journals Game model of enterprises and government based on the tax preference policy for energy conservation and emission reduction

Filomat ◽  
2016 ◽  
Vol 30 (15) ◽  
pp. 3963-3974 ◽  
Author(s):  
Guoxing Zhang ◽  
Zhenhua Zhang ◽  
Yongjing Cui ◽  
Chun Yuan
Keyword(s):  
Energy Conservation ◽  
Emission Reduction ◽  
Evolutionary Game ◽  
Optimal Number ◽  
Signaling Game ◽  
Game Model ◽  
Tax Preference ◽  
Single Period ◽  
Separating Equilibrium

In recent years, greater efforts in tax preference policy for energy conservation and emission reduction (ECER) have been implemented in our country. Based on the tax preference of enterprise income for comprehensive utilization of resources, the constraints to achieve completely successful equilibrium are studied in the single period and multiple periods. In the single period, the key to achieve separating equilibrium is analyzed carefully by constructing a signaling game model of enterprises and government on tax preference of enterprise income. In the multiple periods, with the stochastic evolutionary game model based on the stochastic differential equation (SDE) theory, the constraints of keeping the separating equilibrium stable and continuing in a long term will be further investigated. It gives the optimal number of tax preference of enterprise income, camouflage cost and expected cost of risk under the state of separating equilibrium. The optimal result of completely successful equilibrium is obtained in single period by the analysis of numerical example for enterprises and government signaling game model. The simulation experiment is successfully finished to test the effectiveness of the stochastic evolutionary game model by using mathematical software MATLAB.

scholarly journals Multi-Player Evolutionary Game of Network Attack and Defense Based on System Dynamics

Mathematics ◽  
2021 ◽  
Vol 9 (23) ◽  
pp. 3014
Author(s):  
Pengxi Yang ◽  
Fei Gao ◽  
Hua Zhang
Keyword(s):  
Evolutionary Game ◽  
Stable State ◽  
Payoff Matrix ◽  
Game Model ◽  
Network Attack ◽  
Evolutionary Stable Strategies ◽  
Player Game ◽  
Attack And Defense ◽  
Mathematical Derivation

We formalize the adversarial process between defender and attackers as a game and study the non-cooperative evolutionary game mechanism under bounded rationality. We analyze the long-term dynamic process between the attacking and defending parties using the evolutionary stable strategies derived from the evolutionary game model. First, we construct a multi-player evolutionary game model consisting of a defender and multiple attackers, formally describe the strategies, and construct a three-player game payoff matrix. Then, we propose two punishment schemes, i.e., static and dynamic ones. Moreover, through the combination of mathematical derivation with simulation, we obtain the evolutionary stable strategies of each player. Different from previous work, in this paper, we consider the influence of strategies among different attackers. The simulation shows that (1) in the static punishment scheme, increasing the penalty can quickly control the occurrence of network attacks in the short term; (2) in the dynamic punishment scheme, the game can be stabilized effectively, and the stable state and equilibrium values are not affected by the change of the initial values.

scholarly journals Graphical Evolutionary Game Model of Virus-Based Intrusion to Power System for Long-Term Cyber-Security Risk Evaluation

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 178605-178617 ◽  
Author(s):  
Boda Li ◽  
Ying Chen ◽  
Shaowei Huang ◽  
Rui Yao ◽  
Yue Xia ◽  
...  
Keyword(s):  
Power System ◽  
Cyber Security ◽  
Risk Evaluation ◽  
Evolutionary Game ◽  
Game Model ◽  
Security Risk

scholarly journals Complex Dynamic Analysis for Game Model under Different Regulatory Levels in China’s Housing Rental Market

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Lingling Mu ◽  
Xiangyu Qin ◽  
Yuan Li ◽  
Ping Liu
Keyword(s):  
Real Estate ◽  
Financial Institutions ◽  
Evolutionary Game ◽  
Game Model ◽  
The Public ◽  
Rental Market ◽  
Government Supervision ◽  
The Social ◽  
The Cost

In this paper, we construct an evolutionary game model of government and real estate operators (long-term apartment rental companies) in the housing rental market in the context of financial institutions and public participation in regulation and analyze the effects of different regulatory levels of financial institutions and the public on the evolutionary results through model solving and numerical simulation. The results show that, under five different levels of supervision, financial institutions and the public have different evolutionary and stable strategies; financial institutions’ participation in supervision can effectively reduce the cost of government supervision and promote the government’s evolution towards strict supervision. It is difficult for real estate operators to evolve naturally towards keeping their promises when the probability of the social public or financial institutions participating in regulation is low. Only when the probability of social public and financial institutions participating in regulation reaches a certain level will real estate operators be inclined to keep their promises.

scholarly journals The Evolutionary Game Theoretic Analysis for Emission Reduction and Promotion in Low-Carbon Supply Chains

2018 ◽  
Vol 8 (10) ◽  
pp. 1965 ◽  
Author(s):  
Baiyun Yuan ◽  
Longfei He ◽  
Bingmei Gu ◽  
Yi Zhang
Keyword(s):  
Supply Chain ◽  
Emission Reduction ◽  
Evolutionary Game ◽  
Game Model ◽  
Low Carbon ◽  
Carbon Reduction ◽  
Game Theoretic Analysis ◽  
Carbon Supply ◽  
Evolutionary Stable Strategies ◽  
Game Theoretic

Aiming at exploring the interplay principles of operations strategies among members of dvertising and emission reduction cost sharing contracts and coordination in low-carbon sulow-carbon supply chain, as well as their impact on system performance, we develop an evolutionary game model to capture emission reduction and low-carbon promotion actions, which are typically conducted by one manufacturer and one retailer in every two-echelon supply chain, respectively. We exploit the evolutionary game model to analyze players’ behavioral patterns of their interacting strategies, whereby we attain the evolutionary stable strategies and their associated existing preconditions under various scenarios. We acquire a number of managerial insights, and particularly find that the evolutionary stable strategies of the channel carbon reduction and promotion are remarkably influenced by incremental profits resulted from causes, such as every player’s unilateral participation in emission reduction. In addition, we investigate a player’s free-rider opportunistic practice in cooperative carbon reduction and joint participation in emission reduction. However, the magnitude of profit increment will heavily influence the result of Evolutionary Stable Strategy (ESS). Finally, the extensive computational studies enable us to verify the effectiveness of preceding models.

scholarly journals A Study of Taxi Service Mode Choice Based on Evolutionary Game Theory

2019 ◽  
Vol 2019 ◽  
pp. 1-17
Author(s):  
Zhu Bai ◽  
Mingxia Huang ◽  
Shuai Bian ◽  
Huandong Wu
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Mode Choice ◽  
Evolutionary Game ◽  
Payoff Matrix ◽  
Game Model ◽  
Stable States ◽  
Taxi Service ◽  
Service Mode ◽  
The Impact

The emergence of online car-hailing service provides an innovative approach to vehicle booking but has negatively influenced the taxi industry in China. This paper modeled taxi service mode choice based on evolutionary game theory (EGT). The modes included the dispatching and online car-hailing modes. We constructed an EGT framework, including determining the strategies and the payoff matrix. We introduced different behaviors, including taxi company management, driver operation, and passenger choice. This allowed us to model the impact of these behaviors on the evolving process of service mode choice. The results show that adjustments in taxi company, driver, and passenger behaviors impact the evolutionary path and convergence speed of our evolutionary game model. However, it also reveals that, regardless of adjustments, the stable states in the game model remain unchanged. The conclusion provides a basis for studying taxi system operation and management.

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