2022
DOI: 10.1016/j.buildenv.2022.108903
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The incentive mechanism and decision-making behavior in the green building supply market: A tripartite evolutionary game analysis

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Cited by 70 publications
(22 citation statements)
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“…Lu et al developed a bilateral evolutionary game model that involved government, developers, and consumers to study the decision-making mechanisms of stakeholders in the green building market [49]. Liu et al constructed a tripartite evolutionary game model including government, suppliers, and developers, to explore stakeholders' incentives and decision behaviors in the green building supply market [50].…”
Section: Research Methods For Energy-efficient Retrofittingmentioning
confidence: 99%
“…Lu et al developed a bilateral evolutionary game model that involved government, developers, and consumers to study the decision-making mechanisms of stakeholders in the green building market [49]. Liu et al constructed a tripartite evolutionary game model including government, suppliers, and developers, to explore stakeholders' incentives and decision behaviors in the green building supply market [50].…”
Section: Research Methods For Energy-efficient Retrofittingmentioning
confidence: 99%
“…The game between Enterprise 1, Enterprise 2, and the government can be represented by a differential equation composed of , , and . Through the local stability of the Jacobian matrix, the stable strategy of the system evolution is obtained [ 73 ], where is expressed as: …”
Section: Construction and Analysis Of Evolutionary Game Modelmentioning
confidence: 99%
“…In order to more clearly and intuitively show the influence of key factors on the evolution state and results of multi-party games and verify the effectiveness of evolutionary stability analysis, the following will further use MATLAB to simulate the evolution trajectory of each game. Under the condition of E 1 5(1,1,1) stability strategy, according to the dynamic replication equation and constraint conditions, combined with literature review and realistic situation (Liu et al, 2022), the following parameters are initially assigned: C G 5 0.1, S C 5 0.5, S O 5 0.4, P C 5 0.2, P O 5 0, C C1 5 0.4, C C2 5 0.25, C O1 5 0.2, C O2 5 0.1, U C1 5 0.5, U C2 5 0.4, U O1 5 0.3, U O2 5 0.15, U 1 5 1.6, U 2 5 0.5 and U 3 5 0.45. Figure 1 shows the initial results obtained.…”
Section: Simulation Analysismentioning
confidence: 99%