scholarly journals The evolutionary game analysis of cross-regional ecological compensation - based on the perspective of the main functional area

2018 ◽  
Vol 53 ◽  
pp. 04043
Author(s):  
PAN He-si ◽  
LIU Hong-zhi
Keyword(s):  
Carrying Capacity ◽  
Local Governments ◽  
Evolutionary Game ◽  
Ecological Environment ◽  
Game Model ◽  
Functional Area ◽  
Ecological Compensation ◽  
Game Analysis ◽  
Root Cause ◽  
Upper Limit

Under the new normal, the carrying capacity of ecological environment in China has reached or approached the upper limit. The root cause is the lack of an endogenous mechanism for the protection and compensation of forest resources. Therefore, clarifying the game relationship between stakeholders can help to break through the dilemma. An evolutionary game model between beneficiary regions and the protected regions was constructed, based on the “restraint-encouragement” mechanism of the central government.The results show that in cross-regional ecological compensation, the optimal strategy of “ protectioncompensation” depend on the net profits of local governments and the central government's fines.

Evolutionary game analysis of information sharing by institutional investors

2021 ◽  
pp. 1-9
Author(s):  
Hua Li ◽  
Qingqing Lou ◽  
Qiubai Sun ◽  
Bowen Li
Keyword(s):  
Information Sharing ◽  
Institutional Investors ◽  
Information Exchange ◽  
Evolutionary Game ◽  
Stable State ◽  
Point Of View ◽  
Game Model ◽  
Game Analysis ◽  
Relationship Network ◽  
The Relationship

In order to solve the conflict of interests of institutional investors, this paper uses evolutionary game model. From the point of view of information sharing, this paper discusses four different situations. Only when the sum of risk and cost is less than the penalty of free riding, the evolution of institutional investors will eventually incline to the stable state of information sharing. That is, the phenomenon of hugging. The research shows that the institutional investors are not independent of each other, but the relationship network of institutional investors for the purpose of information exchange. The content of this paper enriches the research on information sharing of institutional investors.

scholarly journals Substantive Innovation or Strategic Innovation? Research on Multiplayer Stochastic Evolutionary Game Model and Simulation

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Junqiang Li ◽  
Hao Ren ◽  
Changcheng Zhang ◽  
Qingxia Li ◽  
Kaifeng Duan
Keyword(s):  
Local Governments ◽  
Evolutionary Game ◽  
Policy Implications ◽  
Game Model ◽  
Innovation Development ◽  
Innovation Research ◽  
Strategic Innovation ◽  
Model And Simulation ◽  
Enterprise Innovation ◽  
The Subject

Innovation subsidy is of great significance to promoting enterprise innovation development. However, in recent years, the frequent occurrence of R&D subsidy deception in China has greatly reduced effectiveness of innovation. From the perspective of the strategic choice motivation of the innovation subject (including the enterprises, research institutions, and local governments), this paper constructs a multiplayer stochastic evolutionary game model. The influence of each variable on the subject strategy adoption is analyzed by simulation. There are two important findings in this paper. First, the paper confirms that there is an optimal boundary for the high subsidies received by enterprises and academic institutions, and the “subsidy boundary” is solved through the model. Second, this paper analyzes the effectiveness of the regulation of each variable through simulation and provides management and policy implications.

An evolutionary game analysis of user-pay public–private partnership projects

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Danrong Song ◽  
Jinbo Song ◽  
Hehui Yuan ◽  
Yu Fan
Keyword(s):  
Evolutionary Game ◽  
Public Private Partnership ◽  
Decision Makers ◽  
Successful Implementation ◽  
Game Model ◽  
Public And Private ◽  
Private Partnership ◽  
Content Type ◽  
Game Analysis ◽  
The Public

PurposeWith the growing demand for infrastructure and public services in recent years, PPP-UP have attracted a great deal of attention. However, while the user focuses on the payment for use and the private sector is concerned with its return on investment, the public sector pays more attention to the efficient utilization of public funds. In order to analyze the willingness of each stakeholder to join PPP-UP, an evolutionary game model involving the three parties is constructed.Design/methodology/approachAn evolutionary game model is established that considers the users and the public and private sectors in user-pay public-private-partnership projects (PPP-UP). Eight scenarios of equilibriums and the game's evolutionary stable strategies are analyzed, and the corresponding stability conditions are then obtained. A situation where all three players are willing to cooperate in theory is also examined. The key influencing parameters that affect cooperation behaviors are further discussed.FindingsFirst, the results illustrate that by properly adjusting the influencing factors, the cooperation status among the three parties can be changed along with certain evolutionary trends. Second, it is hard to modify unsatisfactory evolutionary stability by small changes in both the price compensation of and the construction and operation compensation. Third, it is necessary to involve the users in the decision-making process in PPP-UP and take their demands regarding benefits and payments into account.Originality/valueIn this paper, we focus on PPP-UP to research interactions among the public and private sectors and the users. Based on the analysis of the evolutionary game, to facilitate the successful implementation and development of a project, several conditions are needed to ensure tripartite cooperation. Several recommendations are then proposed for decision-makers in PPP-UP.

scholarly journals Evolutionary game analysis of Chinese cross border logistics enterprises adopting blockchain technology in supply chain

2021 ◽  
Vol 275 ◽  
pp. 03078
Author(s):  
KunYang Liu ◽  
Yong Zhang
Keyword(s):  
Supply Chain ◽  
Evolutionary Game ◽  
Game Model ◽  
Game Analysis ◽  
Technological Revolution ◽  
Cross Border ◽  
Technical Ability ◽  
Blockchain Technology ◽  
Logistics Enterprises ◽  
Mathematical Derivation

Blockchain technology is considered to be the representative technology of the fourth technological revolution, and logistics and supply chain field has been considered as the main application direction in the next step by industry and academia. In order to study the behavior and intention of Chinese cross-border logistics enterprises to introduce blockchain into internal supply chain, this paper constructs a model of cross-border logistics enterprises adopting blockchain technology on the basis of bounded rationality based on the game model, this paper attempts to find out the factors that affect the introduction of blockchain into the internal supply chain through mathematical derivation and numerical analysis. The game results show that the willingness of cross-border logistics enterprises to adopt blockchain is closely related to the technical ability of blockchain, the incremental performance after the introduction of blockchain, the conversion cost of blockchain technology, and other factors. Enterprises should coordinate various factors and choose to adopt blockchain technology according to their own situation.

scholarly journals Impact of Emotional Perceived Value on the Uncertain Evolution of the Housing Bubble

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1543
Author(s):  
Yang Tang ◽  
Kairong Hong ◽  
Yucheng Zou ◽  
Yanwei Zhang
Keyword(s):  
Real Estate ◽  
Local Governments ◽  
Evolutionary Game ◽  
Perceived Value ◽  
Housing Bubble ◽  
Analysis Framework ◽  
Policy Environment ◽  
Game Analysis ◽  
Regulatory Policies ◽  
Game Equilibrium

In China, the housing bubble is not only an economic issue but also an important social and political issue. According to game theory, the housing bubble is an equilibrium result of the interaction between policy environment and participants’ behavior. In this process, due to the interaction between speculation, regulation, and emotions, the development and evolution of the housing bubble are faced with uncertainty. Different from traditional econometric analysis, this article adopts the evolutionary game analysis method in order to establish a multi-stage evolutionary game analysis framework for the housing bubble. Firstly, by analyzing the emotional perceived value of related subjects under optimism, pessimism, and uncertainty, this article explores the mechanism of emotional perceived value on the housing bubble under the condition of inconsistent policy objectives. Secondly, it introduces emotional perceived value into the evolutionary game analysis framework of housing bubbles and analyzes the strategic combination and game equilibrium between investors and local governments under different emotions. Finally, taking Hainan province as an example, it conducts a MATLAB numerical simulation on the uncertain evolution of the housing bubble and proposes a staged strategy combination to deal with the housing bubble. The results show that: (1) emotional perceived value is affected by policy environment; (2) changes in the strength of policy effects make emotional perceived value change, which has different incentive effects on investors’ speculation and local governments’ regulation; (3) there are differences in emotional perceived value in different stages, which improves the uncertainty of the game equilibrium result between investors and local governments; and (4) considering the evolutionary characteristics of the housing bubble in different stages, its countermeasures should not only prevent insufficient regulation but also avoid excessive regulation. The above conclusions can provide theoretical and practical references for predicting the behavior of real estate investors, identifying the evolution mechanisms and rules of real estate bubbles and formulating relevant regulatory policies.

scholarly journals Evolutionary Game Analysis of Capital-Constrained Supplier’s and Manufacturer’s Financing Schemes

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Suyong Zhang ◽  
Panos. M. Pardalos ◽  
Xiaodan Jiang
Keyword(s):  
Financial Risk ◽  
Evolutionary Game ◽  
Interaction Mechanism ◽  
Game Model ◽  
Strategy Selection ◽  
Game Analysis ◽  
Purchase Order ◽  
Financing Strategy ◽  
Theoretical Results ◽  
Financing Schemes

Purchase order financing (POF) and buyer direct financing (BDF) are both innovative financing schemes aiming to help financial constrained suppliers secure financing for production. In this paper, we investigate the interaction mechanism between suppliers’ financing strategy selection and manufacturers’ loans offering strategy adoption under two innovative financing schemes. We developed an evolutionary game model to effectively investigate the interaction mechanism between suppliers and manufacturers and analyzed the evolutionary stable strategies of the game model. Then we used system dynamics to present the performance of the evolutionary game model and took a sensitivity analysis to verify the theoretical results. The main conclusions are as follows: in the supply chain, to deal with the noncooperation among suppliers and manufacturers on innovative financing schemes, the revenue of manufacturers, the rate of manufacturer loan, and the proper financial risk factor should be relatively high.

scholarly journals An Evolutionary Game Model for the Multi-Agent Co-Governance of Agricultural Non-Point Source Pollution Control under Intensive Management Pattern in China

2020 ◽  
Vol 17 (7) ◽  
pp. 2472 ◽  
Author(s):  
Lingyan Xu ◽  
Zhuoyun Zhou ◽  
Jianguo Du
Keyword(s):  
Point Source ◽  
Pollution Control ◽  
Local Governments ◽  
Evolutionary Game ◽  
Game Model ◽  
Intensive Management ◽  
Point Source Pollution ◽  
Synergy Effects ◽  
Multi Agent ◽  
Non Point Source Pollution

This paper focuses on the sustainable development dilemma of agricultural production in China under the pattern of intensive management, which is seriously challenged by agricultural non-point source pollution. The key to effectively break through the dilemma is to promote the co-governance of agricultural non-point source pollution control by stakeholders including local governments, new agricultural operators and traditional farmers. Accordingly, this paper discusses the interactive decision-making relationships between new agricultural operators and traditional farmers under the guidance of local governments, by constructing a trilateral evolutionary game model, as well as analyzing evolutionary cooperative stability strategies and realizing the simulation of evolution processes in different scenarios by MATLAB. The results show that new agricultural operators play a leading role in agricultural non-point source pollution control, whose strategies have effects such as technology spillover. The rewards from the superior government will support local governments in taking proactive action in the co-governance of agricultural non-point source pollution control, and then local governments can offer technical support and subsidies to new agricultural operators and traditional farmers for reducing their costs. Furthermore, this paper also finds that there are green synergy effects among the groups, where the variations of parameters and strategies by one group would affect the two others. Additionally, agricultural land operation rights transfers would cause traditional farmers to take more time to cooperate in the co-governance of agricultural non-point source pollution control. In order to promote the multi-agent co-governance of agricultural non-point source pollution control under intensive management pattern, this paper suggests that it should be necessary to reduce their costs and improve incentives, as well as to increase the common interests among groups and enhance their green synergy effects.

Sign in / Sign up

Export Citation Format

Share Document