scholarly journals Influence of We Media Information Dissemination on Public Emotional Cognition and Behavior under Government Responsibility Constraint

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Rongjian Xie ◽  
Dongju Liu ◽  
Yucai Jia ◽  
Peiyun Zhang
Keyword(s):  
Information Dissemination ◽  
Chaotic Behavior ◽  
Evolutionary Game ◽  
Pareto Optimum ◽  
Game Model ◽  
Government Responsibility ◽  
Governance System ◽  
Research Results ◽  
The Government ◽  
And Control

In recent years, We Media’s chaotic behavior has emerged one after another. How to properly supervise We Media and effectively manage its violations has become an urgent problem in the process of national governance system and governance capacity building. From the three aspects of opportunity, motivation, and control methods, this paper analyzes the relevant stakeholders and their relationships in the process of We Media information dissemination. It constructs a tripartite evolutionary game model of government, We Media, and public participation, which focuses on the analysis of the equilibrium point of the game model and carries out simulation experiments to explore the influence of government responsibility constraints on the evolution results. The research results show that government regulation plays an important role in restricting We Media’s information release. When the government's willingness to regulate increases, We Media will be punished more if it violates rules. In order to reduce the cost of punishment and other factors, We Media will reduce the willingness to violate the rules. After the occurrence of social hot events, the public is more willing to be guided by positive information from We Media, prompting the government to choose strict supervision strategies, effectively reducing the violations of We Media and achieving the Pareto optimum. According to the research results, this paper puts forward reasonable countermeasures to realize the comprehensive governance pattern of noncompliance of We Media and correct guidance of public emotional cognitive behavior under responsibility constraints. The research results provide theoretical support and decision-making basis for We Media information management and control.

scholarly journals The Relationship among Government, Enterprise, and Public in Environmental Governance from the Perspective of Multi-Player Evolutionary Game

2019 ◽  
Vol 16 (18) ◽  
pp. 3351 ◽  
Author(s):  
Yingxin Chen ◽  
Jing Zhang ◽  
Pandu R. Tadikamalla ◽  
Xutong Gao
Keyword(s):  
Public Participation ◽  
Pollution Control ◽  
Environmental Governance ◽  
Evolutionary Game ◽  
Industrial Wastes ◽  
Governance System ◽  
Research Results ◽  
Government Supervision ◽  
The Government ◽  
Positive Effect

Environmental governance is an important component of the national governance system. China’s current environmental problems are particularly complex. How to let the government, enterprises, and the public participate in environmental governance is the key to enhance the ability of environmental governance. Based on the evolutionary game theory, the interaction and influencing factors among enterprise pollution control, government supervision, and public participation are analyzed, and the empirical analysis is carried out based on China’s 30 provincial panel data from 2009 to 2018. The research results show that government supervision has a positive effect on the environmental governance and can urge enterprises to actively perform pollution control. The effect of government supervision is constrained by the income and cost of enterprises, and the penalties for passive pollution control should be raised. At the same time, improving the government’s reputation loss can effectively stimulate the government’s environmental supervision behavior. Public participation significantly promotes the governance effect of three industrial wastes, and the enthusiasm of public participation is closely related to participation cost and psychological benefits. Public participation can replace government supervision to a certain extent. The interaction between government and public has a positive effect on environmental governance. The research results will help to build an effective environmental governance system and improve environmental governance performance and public satisfaction.

scholarly journals Stakeholder Conflict Amplification of Large-Scale Engineering Projects in China: An Evolutionary Game Model on Complex Networks

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Zhengqi He ◽  
Dechun Huang ◽  
Junmin Fang ◽  
Bo Wang
Keyword(s):  
Complex Networks ◽  
Large Scale ◽  
Information Dissemination ◽  
Evolutionary Game ◽  
Small World ◽  
Game Model ◽  
Small World Network ◽  
Stakeholder Conflict ◽  
The Government ◽  
Engineering Projects

Large-scale engineering projects make tremendous contributions to China’s social and economic development; meanwhile, due to the diversity of stakeholders, the dispersion of time and space, and the complexity of information dissemination, large-scale engineering projects are easy to cause conflicts among stakeholders that affect social stability. The previous studies on stakeholder conflicts of large-scale engineering projects mainly focused on the game model among stakeholders, without considering the influence of stakeholders’ interaction complex networks formed by social relations on the conflict amplification. For the two main stakeholders of the government and the resident that play a key role in China’s large-scale engineering projects, this paper constructs an evolutionary game model of the main stakeholder conflict amplification and analyzes the evolutionary results of the conflict between the government and the resident in different situations. The small-world network is chosen as the complex network type of the simulation study since it is very similar with the topology of the realistic social network. Based on the NetLogo simulation platform, the stakeholder conflict amplification process of large-scale engineering projects on the small-world network is analyzed, and relevant management measures are proposed to defuse the stakeholder conflict of large-scale engineering projects. By using the evolutionary game model on complex networks, this paper studies the stakeholder conflict on the small-world network, providing reference for stakeholder conflict management of large-scale engineering projects in China.

scholarly journals Analysis of Smooth Implementation of Industry Poverty Alleviation considering Government Supervision

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Haifeng Yao ◽  
Jiangyue Fu
Keyword(s):  
Equilibrium Point ◽  
Evolutionary Game Theory ◽  
Poverty Alleviation ◽  
Equilibrium Points ◽  
Evolutionary Game ◽  
Parameter Design ◽  
Game Model ◽  
Government Supervision ◽  
Proposed Model ◽  
The Government

Vigorous implementation of industrial poverty alleviation is the fundamental path and core power of poverty alleviation in impoverished areas. Enterprises and poor farmers are the main participants in industry poverty alleviation. Government supervision measures regulate their behaviors. This study investigates how to smoothly implement industry poverty alleviation projects considering government supervision. A game model is proposed based on the evolutionary game theory. It analyses the game processes between enterprises and poor farmers with and without government supervision based on the proposed model. It is shown that poverty alleviation projects will fail without government supervision given that the equilibrium point (0, 0) is the ultimate convergent point of the system but will possibly succeed with government supervision since the equilibrium points (0, 0) and (1, 1) are the ultimate convergent point of the system, where equilibrium point (1, 1) is our desired results. Different supervision modes have different effects on the game process. This study considers three supervision modes, namely, only reward mode, only penalty mode, and reward and penalty mode, and investigates the parameter design for the reward and penalty mode. The obtained results are helpful for the government to develop appropriate policies for the smooth implementation of industry poverty alleviation projects.

scholarly journals How to Promote Compliance Management in the Electricity Market? An Analysis Based on the Evolutionary Game Model

2021 ◽  
Vol 9 ◽  
Author(s):  
Luosong Jin ◽  
Cheng Chen ◽  
Yun Li ◽  
Xiangyang Wang ◽  
Yuanyuan Cheng
Keyword(s):  
Electricity Market ◽  
Evolutionary Game ◽  
Evolution Process ◽  
Regulatory Agencies ◽  
Dynamic Evolution ◽  
Model Parameters ◽  
Game Model ◽  
Compliance Cost ◽  
Compliance Management ◽  
The Government

In this paper, we aim to analyze how to effectively promote compliance management in the electricity market. We construct an evolutionary game model under the two different scenarios, i.e., the scenario without governmental supervision and the scenario with governmental supervision, and explicitly describes the strategic behaviors and dynamic evolution process of power enterprises and regulators in the power market. According to the results of the evolutionary stable strategy, we find that, in the absence of governmental supervision, the long-term stable equilibrium of power enterprises' choice of strategy “Compliance” and regulatory agencies' choice of strategy “Not bribery” is hard to be realized. Only if the government effectively supervises the compliance management of the electricity market can the ideal compliance behavior of the two stakeholders be achieved. Furthermore, we conduct a simulation study to analyze the impacts of the various model parameters on the dynamic evolution process. The specific results show that the lower compliance cost, the higher psychological cost, and the larger profit loss of the power enterprises, as well as the lower inspection cost, the higher psychological cost, and the larger rewards of the regulatory agencies, can promote the formation of compliance management. Besides, the larger penalty charged by the government is also conducive to the compliance management of the electricity market.

Mechanism analysis of competitive information asynchronous dissemination on social networks

2019 ◽  
Vol 30 (11) ◽  
pp. 1950094 ◽  
Author(s):  
Jianye Yu ◽  
Junjie Lv ◽  
Yuanzhuo Wang ◽  
Jingyuan Li
Keyword(s):  
Social Networks ◽  
Information Diffusion ◽  
Information Dissemination ◽  
Evolutionary Game ◽  
Real Data ◽  
Game Model ◽  
Mechanism Analysis ◽  
Sina Weibo ◽  
Human Behaviors ◽  
Information Spread

Information dissemination groups, especially those disseminating the same kind of information such as advertising, product promotion, etc., compete with each other when their information spread on social networks. Most of the existing methods analyze the dissemination mechanism mainly upon the information itself without considering human characteristics, e.g. relation networks, cooperation/defection, etc. In this paper, we introduce a framework of social evolutionary game (SEG) to investigate the influence of human behaviors in competitive information dissemination. Coordination game is applied to represent human behaviors in the competition of asynchronous information diffusion. We perform a series of simulations through a specific game model to analyze the mechanism and factors of information diffusion, and show that when the benefits of competitive information is around 1.2 times of the original one, it can compensate the loss of reputation caused by the change of strategy. Furthermore, through experiments on a dataset of two films on Sina Weibo, we described the mechanism of competition evolution over real data of social network, and validated the effectiveness of our model.

scholarly journals Digital technology to control COVID-19 in China: issues, challenges and implications for the healthcare system

2021 ◽  
Keyword(s):  
Public Health ◽  
Digital Technology ◽  
Critical Role ◽  
Empowerment Theory ◽  
Governance System ◽  
Governance Model ◽  
The Government ◽  
And Control ◽  
Successful Prevention

In the current era, public health crises are presenting new systematic and cross-border characteristics and uncertainty. Public health crises are challenges for governments and health systems. The development of digital technology has changed the world and connected it as a “village”, and digital technology has played a critical role in providing support during public health crises over the past three decades. From the perspective of empowerment theory, we explore the role of digital technology in responding to the COVID-19 pandemic and digital technology approaches to controlling COVID-19 in China. Accordingly, we identify the challenges of using digital technology to control public health crises, including the imbalance of the rights and responsibilities of governance subjects, the incompatibility of the governance model and digital technology and the inadequate application of digital technology. Considering implications for the successful prevention and control of COVID-19, we suggest that the government should improve the balance of rights and responsibilities for coordinated crisis governance, link digital technology and the governance system and broaden the grassroots governance community.

scholarly journals Profit Distribution and Stability Analysis of Joint Distribution Alliance Based on Tripartite Evolutionary Game Theory Under the Background of Green and Low-Carbon

2021 ◽  
Author(s):  
Renbin Han ◽  
Mengke Yang
Keyword(s):  
Information Disclosure ◽  
Joint Distribution ◽  
Evolutionary Game ◽  
Game Model ◽  
Low Carbon ◽  
Environmental Benefit ◽  
Logistics Industry ◽  
Government Subsidies ◽  
Profit Distribution ◽  
The Government

Abstract Joint distribution is an advanced logistics organization model for improving the quality and efficiency of express logistics industry and achieve high-quality development of logistics, but the distribution of common profit has always been a key obstacle to the effective development of joint distribution. Based on the background of green and low-carbon, this paper explores a fairer and more reasonable profit distribution scheme. The profit game between the government and the two types of member enterprises is analyzed. By focusing on how the government plays a role in inducing the joint distribution alliance to bring the green and low-carbon requirements into the profit distribution, the strategy evolution process of the three parties, the factors affecting the profit distribution and the stability of alliance are discussed through the establishment of "government-member enterprise A-member enterprise B" tripartite evolutionary game model. Finally, the evolutionary game model is numerically simulated based on system dynamics. It is found that: (1) It is necessary for the government to guide and motivate the alliance to create internal incentives and constraints. The effect of government subsidies and rewards to member enterprises is greater than the penalties for member enterprises. (2) The member enterprises are likely to conspire together to defraud government subsidies and rewards, carry out "free riding" and other speculative activities, which makes it necessary for the government and the alliance to establish supervision mechanism, information disclosure mechanism, and property rights protection system. (3) The willingness of member enterprise to positively cooperate will increase with the increase of the additional benefit coefficient, the proportion of profit distribution and the importance of environmental benefit factor; and will decrease with the increase of the cost of promoting green distribution operations.

scholarly journals Construction of evolutionary game model between actors and governance system in forest operation

2021 ◽  
Vol 1941 (1) ◽  
pp. 012066
Author(s):  
Guangju Wang ◽  
Renshan Xie ◽  
Beibei Zhang ◽  
Jianzhou Yang
Keyword(s):  
Evolutionary Game ◽  
Game Model ◽  
Governance System ◽  
Forest Operation

scholarly journals Behavioral Analysis of Subjects for Green Technology Innovation: A Tripartite Evolutionary Game Model

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yongquan Guo ◽  
Hua Zou ◽  
Zhu Liu
Keyword(s):  
Technology Innovation ◽  
Evolutionary Game ◽  
Strategic Choice ◽  
Green Technology ◽  
Simulation Software ◽  
Game Model ◽  
Green Technologies ◽  
Technology Application ◽  
Technology Applications ◽  
The Government

The application of green technologies can reduce environmental hazards and promote sustainability. The connotation of green technology innovation has two main aspects: the first aspect is the generation of green technology from nothing to something, and the other aspect is the improvement and upgrading of existing green technology; these two aspects are related. However, from the existing research, there are relatively few studies on the process of green technology innovation from these two aspects at the same time. If green technology is not studied from this perspective, the evolutionary process and influencing factors of green technology from generation to development cannot be clarified, which is not conducive to the development of green technology and the realization of the goal of environmental friendliness. Research considers the green innovation process from R&D to upgrading linkages and analyses the roles of government departments, green technology R&D institutions, and green technology application enterprises in green technology innovation. In addition, the green technology application enterprises are considered to promote technology enhancement through technology application feedback with green technology R&D institutions. The evolutionary game model of three subjects was established, the strategic evolution process of different subjects was analyzed, the influence of each element on the strategic choice of different subjects was explored, and the stability analysis of strategic choice was conducted using simulation software. The study shows the following: (1) The greater the government’s punishment and support to green technology R&D institutions, the more favorable it is for green technology R&D institutions to carry out green technology R&D. (2) In green technology applications, if the government has no direct interest relationship with green technology application enterprises, the enterprises will choose negative response behavior. (3) The greater the technology enhancement gains of green technology R&D institutions and the greater the feedback gains of technology applications actively carried out by enterprises in response to the government’s call, the more the government departments tend to support green technology R&D.

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