scholarly journals The Decision-Making Analysis on End-of-Life Vehicle Recycling and Remanufacturing under Extended Producer Responsibility Policy

2021 ◽  
Vol 13 (20) ◽  
pp. 11215
Author(s):  
Syed Abdul Rehman Khan ◽  
Danish Iqbal Godil ◽  
George Thomas ◽  
Muhammad Tanveer ◽  
Hafiz Muhammad Zia-ul-haq ◽  
...  
Keyword(s):  
Decision Making ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Expected Profit ◽  
Third Party ◽  
Game Model ◽  
The Third ◽  
Evolutionary Stable Strategies ◽  
Dual Cycle ◽  
The Government

This research develops a dual-cycle ELV recycling and remanufacturing system to better understand and improve the efficiency of the ELV recycling and remanufacturing businesses. For the flawless operation of this system, the researchers employed evolutionary game theory to establish a game model between original vehicle manufacturers (OVMs) and third-party recyclers with the government involved. This research presents evolutionary stable strategies (ESS) that could promote an ELV recycling and remanufacturing system. Results show that OVMs’ expected profit difference between choosing and not choosing authorization is crucial in their ESS. The licensing fee plays a part of OVMs’ expected profit difference. Based on the results, optimal ESS could be achieved when the OVMs’ expected profit difference between choosing authorization and not choosing authorization and the third-party recyclers’ profit when paying the licensing fee are both positive. Then, the two groups’ involvement in dual-cycle ELV recycling and the remanufacturing system can be ensured. This research implicates the government to devise appropriate reward and punishment strategy to encourage OVMs and third-party recyclers to collaborate for efficient recycling and remanufacturing systems. Particularly, the government is suggested to impose strict restrictions on OVMs to carry ELV recycling and provide support to promote recycling quantity standards. Hence, the ELV recycling and remanufacturing system would be strengthened, thus improving waste management which is crucial for both environmental and resource efficiency.

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.

Study on Participant Behavior Game of Electronic Products Reverse Supply Chain Based on ECP

2017 ◽  
Vol 5 (5) ◽  
pp. 411-434 ◽  
Author(s):  
Mingbao Wang ◽  
Zhiping Du ◽  
Hong Duan
Keyword(s):  
Supply Chain ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Simulation Method ◽  
Game Model ◽  
Reverse Supply Chain ◽  
Electronic Products ◽  
The Government ◽  
Differential Equation Method ◽  
Reward And Punishment

Abstract In this paper, a game model composed of three subjects — government, manufacturer and consumer has been built by using Evolutionary Game Theory on the basis of analyzing the trilateral game strategy of waste mobile reverse supply chain based on ECP; an evolutionary equilibrium model is to be sought for by utilizing the replication dynamic differential equation method; and the trilateral game strategy’s revolutionary trend and consistency have been analyzed by means of SD simulation method when government implements the static or dynamic reward and punishment strategy. The finding results reveal that, under the static reward and punishment strategy, the revolutionary process of trilateral game strategy is always unstable whether the initial behavior strategy is unitary or mixed. Therefore, it is more reasonable for the government to adopt the strategy of dynamic reward and punishment, and it is also stable and reciprocal for all the stakeholders when implementing this strategy.

scholarly journals An Evolutionary Game Model on Public Participation in Public-Private Partnerships

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Danrong Song ◽  
Yan Sun ◽  
Yu Fan
Keyword(s):  
Decision Making ◽  
Public Participation ◽  
General Public ◽  
Evolutionary Game ◽  
Public Utility ◽  
Public Private Partnerships ◽  
Game Model ◽  
Private Investor ◽  
Cooperative Behaviors ◽  
The Government

Effective participation of the general public in public-private partnerships (PPPs) can coordinate the multidemands of stakeholders and improve the scientificity of decision-making on infrastructure and public utility projects. However, excessive public participation may aggravate the complexity of PPPs and delay the progress of developing PPP projects. Accordingly, the appropriate participation of the general public is essential in the implementation of PPPs. This study examines the boundary conditions and the effective thresholds of public participation in adjusting the cooperative behaviors of both the government and the private investor in PPPs through an analysis of the evolution paths and dynamic balances of the strategy choices between the two parties. The results indicate that public participation in PPPs has the particularity of adjusting the partnership between the two parties. The results also suggest that public participation is not always effective and there are differences in the degree of public participation in the various strategy behaviors in which the government and the private investor choose to cooperate.

scholarly journals An Evolutionary Game Theory Study for Construction and Demolition Waste Recycling Considering Green Development Performance under the Chinese Government’s Reward–Penalty Mechanism

2020 ◽  
Vol 17 (17) ◽  
pp. 6303 ◽  
Author(s):  
Hongyu Long ◽  
Hongyong Liu ◽  
Xingwei Li ◽  
Longjun Chen
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Construction And Demolition Waste ◽  
Decision Making Process ◽  
Game Model ◽  
Demolition Waste ◽  
Green Development ◽  
Evolutionary Paths

The low efficiency of the closed-loop supply chain in construction and demolition waste (CDW) recycling has restricted the green development of China’s construction industry. Additionally, the government’s reward–penalty mechanism has a huge influence on green development. This study aimed to investigate the effect of green development performance (GDP) and the government’s reward–penalty mechanism on the decision-making process of production and recycling units, as well as to reveal the optimal strategies under different conditions. Therefore, the strategies’ evolutionary paths of production and recycling units were investigated by using evolutionary game theory. Firstly, an evolutionary game model between production units and recycling units was proposed under the government’s reward–penalty mechanism. Then, the evolutionary stability strategies in different scenarios were discussed. Finally, the effects of the relevant parameters on the evolutionary paths of the game model were analyzed using numerical simulations. The main conclusions are as follows. (1) When the range of GDP changes, the evolutionary stable strategy changes accordingly. GDP plays a positive role in promoting the high-quality development of the CDW recycling supply chain, but an increase in GDP can easily lead to the simultaneous motivation of free-riding. (2) The government’s reward–penalty mechanism effectively regulates the decision-making process of production and recycling units. An increase in the subsidy rate and supervision probability helps to reduce free-riding behavior. Moreover, the incentive effect of the subsidy probability on recycling units is more obvious, while the effect of the supervision probability on improving the motivation of active participation for production units is more remarkable. This paper not only provides a decision-making basis to ensure production and recycling units to make optimal strategy choices under different conditions but also provides a reference for the government to formulate a reasonable reward–penalty mechanism that is conducive to a macro-control market.

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.

scholarly journals Research on the Collaborative Application of BIM in EPC Projects: The Perspective of Cooperation between Owners and General Contractors

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Chengshuang Sun ◽  
Min Wang ◽  
Fengyong Zhai
Keyword(s):  
Numerical Simulation ◽  
Decision Making ◽  
Dynamic Method ◽  
Evolutionary Game ◽  
Final Decision ◽  
Game Model ◽  
General Contractors ◽  
Punishment Mechanism ◽  
Reducing Costs ◽  
Collaborative Application

As an effective way to reduce costs and increase efficiency of EPC projects, BIM technology has drawn a lot of attention in numerous countries. Existing studies have failed to reveal the BIM decision-making mechanisms of owners and general contractors in EPC projects in a dynamic method. This study investigates the underlying logic of the collaboration application of BIM by analyzing the dynamic behaviors of owners and general contractors based on evolutionary game model. The results show that the most effective suggestions to promote the BIM collaboration application in EPC projects are “increasing the proportion of BIM application initially strategies,” “increasing incremental revenue of BIM collaborative application,” “reducing costs of BIM collaboration application,” “avoiding excessive hitchhiking,” and “establishing reasonable reward and punishment mechanism.” On the basis of numerical simulation to illustrate the influence of the different initial strategies and parameters on the final decision in different situations, five solutions were proposed for the effective BIM collaboration application between owners and general contractors. This article can facilitate researchers pondering the dynamics of collaboration among stakeholders in projects, and it can also facilitate participants picking up proper strategies for improved collaboration.

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.

An Analysis of Quality Liability Insurance for Prefabricated Components Using Evolutionary Game Theory

2021 ◽  
Author(s):  
Yan Liu ◽  
Chenyao Lv ◽  
Hong Xian Li ◽  
Yan Li ◽  
Zhen Lei ◽  
...  
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Payoff Matrix ◽  
Liability Insurance ◽  
Insurance Companies ◽  
Social Benefits ◽  
Simulation Calculation ◽  
The Government

Managing quality risks of prefabricated components is one of the challenges for prefabricated construction. The Quality Liability Insurance for Prefabricated Components (QLIPC) is an effective approach to transfer such risks; however, limited research has been conducted regarding the development of QLIPC. This study introduces an Evolutionary Game Theory (EGT)-based approach incorporating decisions from both the government and insurance companies. In the EGT model, a payoff matrix under disparate strategies is constructed, and the evolutionary stable strategies (ESS) are deduced. The simulation calculation is then carried out by MATLAB using sample virtual data to demonstrate the analysis. The results show that the government should act as the game promoter because the QLIPC can reduce governance cost and has significant social benefits. This research contributes a theoretical framework to analyze the QLIPC development using the EGT theory, and it could help the government to make long-term strategies for developing the QLIPC market.

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