Evolutionary game analysis on local governments and manufacturers' behavioral strategies: Impact of phasing out subsidies for new energy vehicles

Energy ◽  
2019 ◽  
Vol 189 ◽  
pp. 116064 ◽  
Author(s):  
Shou-feng Ji ◽  
Dan Zhao ◽  
Rong-juan Luo
Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1543
Author(s):  
Yang Tang ◽  
Kairong Hong ◽  
Yucheng Zou ◽  
Yanwei Zhang

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.


Author(s):  
Jinna Yu ◽  
Tingting Zhang ◽  
Zhen Liu ◽  
Assem Abu Hatab ◽  
Jing Lan

Telemedicine is an innovative approach that helps alleviate the health disparity in developing countries and improve health service accessibility, affordability, and quality. Few studies have focused on the social and organizational issues involved in telemedicine, despite in-depth studies of and significant improvements in these technologies. This paper used evolutionary game theory to analyze behavioral strategies and their dynamic evolution in the implementation and operation of telemedicine. Further, numerical simulation was carried out to develop management strategies for promoting telemedicine as a new way of delivering health services. The results showed that: (1) When the benefits are greater than the costs, the higher medical institutions (HMIs), primary medical institutions (PMIs), and patients positively promote telemedicine with benign interactions; (2) when the costs are greater than the benefits, the stability strategy of HMIs, PMIs, and patients is, respectively, ‘no efforts’, ‘no efforts’, and ‘non-acceptance’; and (3) promotion of telemedicine is influenced by the initial probability of the ‘HMI efforts’, ‘PMI efforts’, and ‘patients’ acceptance’ strategy chosen by the three stakeholders, telemedicine costs, and the reimbursement ratio of such costs. Based on theoretical analysis, in order to verify the theoretical model, this paper introduces the case study of a telemedicine system integrated with health resources at provincial, municipal, county, and township level in Guizhou. The findings of the case study were consistent with the theoretical analysis. Therefore, the central Chinese government and local governments should pay attention to the running cost of MIs and provide financial support when the costs are greater than the benefits. At the same time, the government should raise awareness of telemedicine and increase participation by all three stakeholders. Lastly, in order to promote telemedicine effectively, it is recommended that telemedicine services are incorporated within the scope of medical insurance and the optimal reimbursement ratio is used.


2018 ◽  
Vol 10 (7) ◽  
pp. 2533 ◽  
Author(s):  
Lei Gao ◽  
Zhen-Yu Zhao

The public-private-partnership (PPP) is a new mode for the government and social capital to jointly invest in public infrastructure projects. In particular, PPP projects for new energy power construction have been strongly supported in some countries in recent years, because it can not only reduce financial pressure on the government, but also promote the development of new energy. Current scholars study the economic benefits of PPP projects for new energy power construction from a macro perspective, and they rarely study behavioral strategies of the government and social capital as a game process of project construction from a micro perspective. This paper will fill this gap. This study firstly built an evolutionary game model of the government and investors based on new energy power construction PPP projects. Secondly, taking China’s typical new energy power construction PPP project–waste incineration power generation as an example, the system dynamics (SD) model was proposed to simulate the evolutionary process of game players’ behavioral strategies. Finally, the effects of key factors in the construction of PPP project on the strategies’ stability were studied. The results show that: (1) there is no evolutionarily stable strategy (ESS) in the game system between the government and investors, and system evolution is characterized by periodic behavior. (2) When the government implements dynamic bounty measures, the system evolution process is still a closed loop with periodic motion. However, when the government implements dynamic punishment measures, there is a stable ESS in the hybrid strategy of the game system. (3) The government can increase unit fines when making dynamic strategic adjustments, which will not only promote the active cooperation of investors, but also reduce the probability of government supervision, thereby reducing costs.


Filomat ◽  
2016 ◽  
Vol 30 (15) ◽  
pp. 3987-3997 ◽  
Author(s):  
Xin Guan ◽  
Guoxing Zhang ◽  
Diyi Liu ◽  
Xu Tan ◽  
Dong Wu

China?s current vehicle emissions caused by air pollution problems have become increasingly prominent. How to improve new energy vehicle market share, and effectively guide the consumer buying behavior become a problem, which the government and social have to be solved. In this paper, according to establish the stochastic evolutionary game model between the government and consumers in the car market, introducing of random factors analysis on the impact of evolutionary stability ,will obtain the stable strategy of government and automotive consumers. And on the basis of it, we study the government support, cost of vehicles, the use of cost, the utility of automobile use for the ways of evolutionary stability, with case further illustrates the external disturbance factors on consumer purchase of new energy vehicles in evolutionary game process stability. Studies show that: the increasing government subsidy policy, the reducing life cycle costs of new energy vehicles and the improving effectiveness of new energy vehicles will lead the model?s evolution to the orientation of consumer purchasing new energy vehicles.


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